Patent ID: 12255714

DETAILED DESCRIPTION

In some wireless communication systems, a user equipment (UE) may be configured to perform a channel estimation procedure between the UE and another device, such as a network device. The UE may be configured to transmit channel state feedback (CSF) information, H, to the network device. However, CSF information may result in large overhead at the UE and network and so to decrease the overhead, the UE and network device may utilize coding techniques (e.g., an autoencoder, a neural network) to compress and decompress the CSF information, respectively. For example, a UE may be configured with an encoder (of an autoencoder, a neural network) for compressing CSF information, H, to a compressed form, h. The CSF information, H, may be associated with a first dimensional space greater than a second dimensional space that is associated with the compressed CSF, h. The UE may then transmit the compressed CSF, h, to the network device with reduced overhead.

The network device may be configured with a decoder (of an autoencoder) corresponding to the encoder of the UE, and so upon receiving the compressed CSF, h, the network device may decompress (e.g., reconstruct) h via the decoder to obtain the original CSF, H. In such cases, encoders and decoders may be paired such that for every encoder at a UE, the network device is configured with a corresponding decoder. The amount of compression and decompression performed by the encoder and decoder pair may be fixed. For example, compressing the CSF, H, from the first dimensional size, to the second dimensional size may be fixed. In some implementations, the amount of compression may be variable. For example, encoder and decoder architectures may be configured to support variable compression and decompression ratios, respectively. In some cases, each UE may have one or more encoders, and different UEs may have different encoders. Accordingly, a network device may be configured with a large number of decoders and may switch between the decoders each time the network device receives a compressed channel estimation from a different encoder resulting in increased complexity at the network device.

To improve compression techniques, a network device may be configured with a decoder (e.g., a universal decoder, a global decoder) that is compatible with multiple or all types of encoders. In order to enhance the performance of the universal decoder, the input dimension of the universal decoder may be increased. Increasing the size of the input to the universal decoder may relax the task of the universal decoder as the universal decoder may have more information to determine the original CSF, H. In order to increase the input to the universal decoder while minimizing the increase of the size of the transmission between the UE and network device, the UE and network device may be configured to perform a multi-step compression and decompression procedure, respectively.

In an example of a multi-step compression procedure, each encoder may still be configured to compress the channel, but the compression may not be as low as in the case that the network device has an individual decoder for each encoder. For example, rather than compressing the CSF information, H, associated with the first dimensional space to a second dimensional space, as described, the UE may instead be configured to compress the CSF information, H, to a third dimensional space that is smaller than the first dimensional space, but larger than the second dimensional space. The third dimensional space may be referred to as a global unified low-dimensional space. Then, to further increase the compression of the channel feedback, such as to the second dimensional space, a UE may apply entropy coding to the output of the encoder, such that the encoder may result in a first compression of the channel, and the entropy coding may result in a second, smaller, compression of the channel. The UE may then transmit the second compression, h, to the network device. The network device may receive the compressed channel, h, and may apply a corresponding entropy decoding procedure to the compressed channel. The entropy decoding may result in the third dimensional space. The network device may then input the output of the entropy decoder into the universal decoder to reconstruct the original channel, H.

In some cases, the network device may concatenate the output of the entropy decoder, hk, by a UE index (k) or by a context vector (ck) associated with the UE to aid in computation of the original channel, H, for the universal decoder. As the UE index, and/or the context vector provide the universal decoder with additional information of the UE, the task performed by the universal decoder may be further simplified. Operating a network device with one entropy decoder per UE entropy coder to allow for the implementation of a universal decoder may result in less complexity and overhead than configuring the network device with one decoder per encoder. Accordingly, the UE and network device may continue to achieve reduced signaling overhead by compressing the channel transmitted between the UE and the network device, while mitigating complexity at the network device.

Particular aspects of the subject matter described herein may be implemented to realize one or more advantages. The described techniques may support improvements in transmitting and receive CSF information by decreasing signaling overhead, reducing computational complexity at a network device, among other advantages. As such, supported techniques may include improved network operations and, in some examples, may promote network efficiencies, among other benefits.

Aspects of the disclosure are initially described in the context of wireless communications systems. Aspects are then described with reference to a process flow. Aspects of the disclosure are further illustrated by and described with reference to apparatus diagrams, system diagrams, and flowcharts that relate to techniques for encoding and decoding a channel between wireless communication devices.

FIG.1illustrates an example of a wireless communications system100that supports techniques for encoding and decoding a channel between wireless communication devices in accordance with one or more aspects of the present disclosure. The wireless communications system100may include one or more network devices105, one or more UEs115, and a core network130. In some examples, the wireless communications system100may be a Long Term Evolution (LTE) network, an LTE-Advanced (LTE-A) network, an LTE-A Pro network, or a New Radio (NR) network. In some examples, the wireless communications system100may support enhanced broadband communications, ultra-reliable communications, low latency communications, communications with low-cost and low-complexity devices, or any combination thereof.

The network devices105may be dispersed throughout a geographic area to form the wireless communications system100and may be devices in different forms or having different capabilities. The network devices105and the UEs115may wirelessly communicate via one or more communication links125. Each network device105may provide a coverage area110over which the UEs115and the network device105may establish one or more communication links125. The coverage area110may be an example of a geographic area over which a network device105and a UE115may support the communication of signals according to one or more radio access technologies.

The UEs115may be dispersed throughout a coverage area110of the wireless communications system100, and each UE115may be stationary, or mobile, or both at different times. The UEs115may be devices in different forms or having different capabilities. Some example UEs115are illustrated inFIG.1. The UEs115described herein may be able to communicate with various types of devices, such as other UEs115, the network devices105, or network equipment (e.g., core network nodes, relay devices, integrated access and backhaul (IAB) nodes, or other network equipment), as shown inFIG.1.

In some examples, one or more components of the wireless communications system100may operate as or be referred to as a network node. As used herein, a network node may refer to any UE115, network device105, entity of a core network130, apparatus, device, or computing system configured to perform any techniques described herein. For example, a network node may be a UE115. As another example, a network node may be a network device105. As another example, a first network node may be configured to communicate with a second network node or a third network node. In one aspect of this example, the first network node may be a UE115, the second network node may be a network device105, and the third network node may be a UE115. In another aspect of this example, the first network node may be a UE115, the second network node may be a network device105, and the third network node may be a network device105. In yet other aspects of this example, the first, second, and third network nodes may be different. Similarly, reference to a UE115, a network device105, an apparatus, a device, or a computing system may include disclosure of the UE115, network device105, apparatus, device, or computing system being a network node. For example, disclosure that a UE115is configured to receive information from a network device105also discloses that a first network node is configured to receive information from a second network node. In this example, consistent with this disclosure, the first network node may refer to a first UE115, a first network device105, a first apparatus, a first device, or a first computing system configured to receive the information; and the second network node may refer to a second UE115, a second network device105, a second apparatus, a second device, or a second computing system.

The network devices105may communicate with the core network130, or with one another, or both. For example, the network devices105may interface with the core network130through one or more backhaul links120(e.g., via an S1, N2, N3, or other interface). The network devices105may communicate with one another over the backhaul links120(e.g., via an X2, Xn, or other interface) either directly (e.g., directly between network devices105), or indirectly (e.g., via core network130), or both. In some examples, the backhaul links120may be or include one or more wireless links.

One or more of the network devices105described herein may include or may be referred to by a person having ordinary skill in the art as a base transceiver station, a radio network device, an access point, a radio transceiver, a NodeB, an eNodeB (eNB), a next-generation NodeB or a giga-NodeB (either of which may be referred to as a gNB), a Home NodeB, a Home eNodeB, or other suitable terminology.

A UE115may include or may be referred to as a mobile device, a wireless device, a remote device, a handheld device, or a subscriber device, or some other suitable terminology, where the “device” may also be referred to as a unit, a station, a terminal, or a client, among other examples. A UE115may also include or may be referred to as a personal electronic device such as a cellular phone, a personal digital assistant (PDA), a tablet computer, a laptop computer, or a personal computer. In some examples, a UE115may include or be referred to as a wireless local loop (WLL) station, an Internet of Things (IoT) device, an Internet of Everything (IoE) device, or a machine type communications (MTC) device, among other examples, which may be implemented in various objects such as appliances, or vehicles, meters, among other examples.

The UEs115described herein may be able to communicate with various types of devices, such as other UEs115that may sometimes act as relays as well as the network devices105and the network equipment including macro eNBs or gNBs, small cell eNBs or gNBs, or relay network devices, among other examples, as shown inFIG.1.

The UEs115and the network devices105may wirelessly communicate with one another via one or more communication links125over one or more carriers. The term “carrier” may refer to a set of radio frequency spectrum resources having a defined physical layer structure for supporting the communication links125. For example, a carrier used for a communication link125may include a portion of a radio frequency spectrum band (e.g., a bandwidth part (BWP)) that is operated according to one or more physical layer channels for a given radio access technology (e.g., LTE, LTE-A, LTE-A Pro, NR). Each physical layer channel may carry acquisition signaling (e.g., synchronization signals, system information), control signaling that coordinates operation for the carrier, user data, or other signaling. The wireless communications system100may support communication with a UE115using carrier aggregation or multi-carrier operation. A UE115may be configured with multiple downlink component carriers and one or more uplink component carriers according to a carrier aggregation configuration. Carrier aggregation may be used with both frequency division duplexing (FDD) and time division duplexing (TDD) component carriers.

Signal waveforms transmitted over a carrier may be made up of multiple subcarriers (e.g., using multi-carrier modulation (MCM) techniques such as orthogonal frequency division multiplexing (OFDM) or discrete Fourier transform spread OFDM (DFT-S-OFDM)). In a system employing MCM techniques, a resource element may consist of one symbol period (e.g., a duration of one modulation symbol) and one subcarrier, where the symbol period and subcarrier spacing are inversely related. The number of bits carried by each resource element may depend on the modulation scheme (e.g., the order of the modulation scheme, the coding rate of the modulation scheme, or both). Thus, the more resource elements that a UE115receives and the higher the order of the modulation scheme, the higher the data rate may be for the UE115. A wireless communications resource may refer to a combination of a radio frequency spectrum resource, a time resource, and a spatial resource (e.g., spatial layers or beams), and the use of multiple spatial layers may further increase the data rate or data integrity for communications with a UE115.

The time intervals for the network devices105or the UEs115may be expressed in multiples of a basic time unit which may, for example, refer to a sampling period of Ts=1/(Δfmax·Nf) seconds, where Δfmax, may represent the maximum supported subcarrier spacing, and Nfmay represent the maximum supported discrete Fourier transform (DFT) size. Time intervals of a communications resource may be organized according to radio frames each having a specified duration (e.g., 10 milliseconds (ms)). Each radio frame may be identified by a system frame number (SFN) (e.g., ranging from 0 to 1023).

Each frame may include multiple consecutively numbered subframes or slots, and each subframe or slot may have the same duration. In some examples, a frame may be divided (e.g., in the time domain) into subframes, and each subframe may be further divided into a number of slots. Alternatively, each frame may include a variable number of slots, and the number of slots may depend on subcarrier spacing. Each slot may include a number of symbol periods (e.g., depending on the length of the cyclic prefix prepended to each symbol period). In some wireless communications systems100, a slot may further be divided into multiple mini-slots containing one or more symbols. Excluding the cyclic prefix, each symbol period may contain one or more (e.g., Nf) sampling periods. The duration of a symbol period may depend on the subcarrier spacing or frequency band of operation.

A subframe, a slot, a mini-slot, or a symbol may be the smallest scheduling unit (e.g., in the time domain) of the wireless communications system100and may be referred to as a transmission time interval (TTI). In some examples, the TTI duration (e.g., the number of symbol periods in a TTI) may be variable. Additionally, or alternatively, the smallest scheduling unit of the wireless communications system100may be dynamically selected (e.g., in bursts of shortened TTIs (sTTIs)).

Physical channels may be multiplexed on a carrier according to various techniques. A physical control channel and a physical data channel may be multiplexed on a downlink carrier, for example, using one or more of time division multiplexing (TDM) techniques, frequency division multiplexing (FDM) techniques, or hybrid TDM-FDM techniques. A control region (e.g., a control resource set (CORESET)) for a physical control channel may be defined by a number of symbol periods and may extend across the system bandwidth or a subset of the system bandwidth of the carrier. One or more control regions (e.g., CORESETs) may be configured for a set of the UEs115. For example, one or more of the UEs115may monitor or search control regions for control information according to one or more search space sets, and each search space set may include one or multiple control channel candidates in one or more aggregation levels arranged in a cascaded manner. An aggregation level for a control channel candidate may refer to a number of control channel resources (e.g., control channel elements (CCEs)) associated with encoded information for a control information format having a given payload size. Search space sets may include common search space sets configured for sending control information to multiple UEs115and UE-specific search space sets for sending control information to a specific UE115.

In some examples, a network device105may be movable and therefore provide communication coverage for a moving geographic coverage area110. In some examples, different geographic coverage areas110associated with different technologies may overlap, but the different geographic coverage areas110may be supported by the same network device105. In other examples, the overlapping geographic coverage areas110associated with different technologies may be supported by different network devices105. The wireless communications system100may include, for example, a heterogeneous network in which different types of the network devices105provide coverage for various geographic coverage areas110using the same or different radio access technologies.

The wireless communications system100may be configured to support ultra-reliable communications or low-latency communications, or various combinations thereof. For example, the wireless communications system100may be configured to support ultra-reliable low-latency communications (URLLC). The UEs115may be designed to support ultra-reliable, low-latency, or critical functions. Ultra-reliable communications may include private communication or group communication and may be supported by one or more services such as push-to-talk, video, or data. Support for ultra-reliable, low-latency functions may include prioritization of services, and such services may be used for public safety or general commercial applications. The terms ultra-reliable, low-latency, and ultra-reliable low-latency may be used interchangeably herein.

In some examples, a UE115may also be able to communicate directly with other UEs115over a device-to-device (D2D) communication link135(e.g., using a peer-to-peer (P2P) or D2D protocol). One or more UEs115utilizing D2D communications may be within the geographic coverage area110of a network device105. Other UEs115in such a group may be outside the geographic coverage area110of a network device105or be otherwise unable to receive transmissions from a network device105. In some examples, groups of the UEs115communicating via D2D communications may utilize a one-to-many (1:M) system in which each UE115transmits to every other UE115in the group. In some examples, a network device105facilitates the scheduling of resources for D2D communications. In other cases, D2D communications are carried out between the UEs115without the involvement of a network device105.

The core network130may provide user authentication, access authorization, tracking, Internet Protocol (IP) connectivity, and other access, routing, or mobility functions. The core network130may be an evolved packet core (EPC) or 5G core (5GC), which may include at least one control plane entity that manages access and mobility (e.g., a mobility management entity (MME), an access and mobility management function (AMF)) and at least one user plane entity that routes packets or interconnects to external networks (e.g., a serving gateway (S-GW), a Packet Data Network (PDN) gateway (P-GW), or a user plane function (UPF)). The control plane entity may manage non-access stratum (NAS) functions such as mobility, authentication, and bearer management for the UEs115served by the network devices105associated with the core network130. User IP packets may be transferred through the user plane entity, which may provide IP address allocation as well as other functions. The user plane entity may be connected to IP services150for one or more network operators. The IP services150may include access to the Internet, Intranet(s), an IP Multimedia Subsystem (IMS), or a Packet-Switched Streaming Service.

Some of the network devices, such as a network device105, may include subcomponents such as an access network entity140, which may be an example of an access node controller (ANC). Each access network entity140may communicate with the UEs115through one or more other access network transmission entities145, which may be referred to as radio heads, smart radio heads, or transmission/reception points (TRPs). Each access network transmission entity145may include one or more antenna panels. In some configurations, various functions of each access network entity140or network device105may be distributed across various network devices (e.g., radio heads and ANCs) or consolidated into a single network device (e.g., a network device105).

As described herein, a network device105may include one or more components that are located at a single physical location or one or more components located at various physical locations, and any one or more of such components may be referred to herein as a network entity. In examples in which the network device105includes components that are located at various physical locations, the various components may each perform various functions such that, collectively, the various components achieve functionality that is similar to a network device105, such as a base station, that is located at a single physical location. As such, a network device105or network entity described herein may equivalently refer to a standalone network device (also known as a monolithic network device) or a network device105including network entity components that are located at various physical locations or virtualized locations (also known as a disaggregated network device105). In some implementations, such a network device105including network entity components that are located at various physical locations may be referred to as or may be associated with a disaggregated radio access network (RAN) architecture, such as an Open RAN (O-RAN) or Virtualized RAN (VRAN) architecture. In some implementations, such network entity components of a network device105may include or refer to one or more of a central unit (or centralized unit CU), a distributed unit (DU), or a radio unit (RU).

The wireless communications system100may operate using one or more frequency bands, typically in the range of 300 megahertz (MHz) to 300 gigahertz (GHz). Generally, the region from 300 MHz to 3 GHz is known as the ultra-high frequency (UHF) region or decimeter band because the wavelengths range from approximately one decimeter to one meter in length. The UHF waves may be blocked or redirected by buildings and environmental features, but the waves may penetrate structures sufficiently for a macro cell to provide service to the UEs115located indoors. The transmission of UHF waves may be associated with smaller antennas and shorter ranges (e.g., less than 100 kilometers) compared to transmission using the smaller frequencies and longer waves of the high frequency (HF) or very high frequency (VHF) portion of the spectrum below 300 MHz.

The wireless communications system100may utilize both licensed and unlicensed radio frequency spectrum bands. For example, the wireless communications system100may employ License Assisted Access (LAA), LTE-Unlicensed (LTE-U) radio access technology, or NR technology in an unlicensed band such as the 5 GHz industrial, scientific, and medical (ISM) band. When operating in unlicensed radio frequency spectrum bands, devices such as the network devices105and the UEs115may employ carrier sensing for collision detection and avoidance. In some examples, operations in unlicensed bands may be based on a carrier aggregation configuration in conjunction with component carriers operating in a licensed band (e.g., LAA). Operations in unlicensed spectrum may include downlink transmissions, uplink transmissions, P2P transmissions, or D2D transmissions, among other examples.

A network device105or a UE115may be equipped with multiple antennas, which may be used to employ techniques such as transmit diversity, receive diversity, multiple-input multiple-output (MIMO) communications, or beamforming. The antennas of a network device105or a UE115may be located within one or more antenna arrays or antenna panels, which may support MIMO operations or transmit or receive beamforming. For example, one or more network device antennas or antenna arrays may be co-located at an antenna assembly, such as an antenna tower. In some examples, antennas or antenna arrays associated with a network device105may be located in diverse geographic locations. A network device105may have an antenna array with a number of rows and columns of antenna ports that the network device105may use to support beamforming of communications with a UE115. Likewise, a UE115may have one or more antenna arrays that may support various MIMO or beamforming operations. Additionally, or alternatively, an antenna panel may support radio frequency beamforming for a signal transmitted via an antenna port.

Beamforming, which may also be referred to as spatial filtering, directional transmission, or directional reception, is a signal processing technique that may be used at a transmitting device or a receiving device (e.g., a network device105, a UE115) to shape or steer an antenna beam (e.g., a transmit beam, a receive beam) along a spatial path between the transmitting device and the receiving device. Beamforming may be achieved by combining the signals communicated via antenna elements of an antenna array such that some signals propagating at particular orientations with respect to an antenna array experience constructive interference while others experience destructive interference. The adjustment of signals communicated via the antenna elements may include a transmitting device or a receiving device applying amplitude offsets, phase offsets, or both to signals carried via the antenna elements associated with the device. The adjustments associated with each of the antenna elements may be defined by a beamforming weight set associated with a particular orientation (e.g., with respect to the antenna array of the transmitting device or receiving device, or with respect to some other orientation).

In some wireless communications systems, such as wireless communication systems100, a UE115, or some other network entity, may encode CSF information associated with the UE115to compress the CSF information to a first encoding output associated with a first dimensional space, and the UE115may apply entropy coding to the first encoding output of the CSF information. The entropy coding may transform the first encoding output to a second encoding output associated with a second dimensional space that is smaller than the first dimensional space of the first encoding output. The UE115may transmit a CSF message including the second encoding output. In some cases, a network device105may receive a CSF message including compressed CSF information associated with a first dimensional space. The network device105may apply entropy decoding to the compressed CSF information to partially decompress the compressed CSF information to a first decoding output associated with a second dimensional space. The second dimensional space may be larger than the first dimensional space. The network device105may then decode the first decoding output to completely decompress the compressed CSF information to a second decoding output associated with a third dimensional space, where the third dimensional space may be larger than the second dimensional space of the first decoding output.

FIG.2illustrates an example of a wireless communications system200that supports techniques for encoding and decoding a channel between wireless communication devices in accordance with aspects of the present disclosure. The wireless communications system200may include network device105-aand UEs115-a, and115-b, which may be examples of a network device105and UEs115as described with reference toFIG.1. Network device105may serve a geographic coverage area110-a. In some cases, a network device105may be configured with a universal decoder220for decompressing messages from multiple UEs115, and/or different encoders. In some cases, UEs115-aand/or115-band network device105-amay be configured to perform entropy coding techniques based on the universal decoder220at network device105-a. Additionally, or alternatively, other wireless devices, such as UEs115may be configured with a universal decoder220.

Devices may be configured to communicate with one another via communication links205(e.g., uplink communication links, downlink communication links, sidelink communication links), which may be a representation of beams, channels, etc. In some cases, devices communicating with one another may be configured to identify a channel between the devices. For example, UE115-a, network device105-a, or both may perform a channel estimation procedure to identify a channel between UE115-aand network device105-a. For example, UE115-amay be configured to receive one or more signals from network device105-a(e.g., known signals, such as reference signals). As the signals are transmitted over the channel between UE115-aand network device105-a, the signals may get distorted (e.g., attenuated, phase-shifted, noised), such as due to other signals transmitted over the same or similar channel, environmental, factors, etc. Accordingly, UE115-amay receive the one or more signals and compare them to one or more known signals (e.g., the original transmitted signals). UE115-amay be configured to identify a correlation between the one or more know signals to the one or more received signals, where the signals may be represented by an array (e.g., a matrix) of information. In some cases, UE115-amay be configured to transmit CSF information (e.g., channel state information (CSI) feedback, CSF210), H, to the network device105-aso as to indicate the channel condition between UE115-aand network device105-a. In some cases, UE115-bmay perform a same or similar procedure with network device105-a.

Transmitting CSF210may result in large overhead at the UE115and network device105due to the large amount of information transmitted between the UE115and the network device105such as due to communicating in a large bandwidth, communicating with a high number of antenna elements, etc. To decrease the overhead, the UE115and network device105may utilize coding techniques to compress and decompress the CSF information, respectively. In some cases, the encoding techniques may include an autoencoder (e.g., implemented by a neural network). An autoencoder may compress input data by representing the input with lower-dimensional features, where the autoencoder may “learn” to do so via machine learning training. For example, a UE115may be configured with an encoder215of an autoencoder for compressing CSF information, H, to a compressed form, h. The CSF information, H, may be associated with a first dimensional space greater than a second dimensional space that is associated with the compressed CSF, h, due to the compression. The UE115may then transmit the compressed CSF, h, to the network device105with reduced overhead. Feeding back the compressed channel, h, instead of the original high-dimensional channel may considerably conserve uplink resources (e.g., uplink control channel resources, uplink data resources), particularly while communicating in a high bandwidth, communicating via a large number of antennas, etc.

The network device105may be configured with a decoder220of the autoencoder corresponding the encoder215of the UE115, and so upon receiving the compressed CSF, h, the network device105may decompress (e.g., reconstruct) h via the decoder220to obtain the original CSF, H. In some cases, encoders215and decoders220are paired such that for every encoder215at a UE115, the network device105may be configured with a corresponding decoder220, where the amount of compression and decompression performed by the encoder and decoder pair may be fixed. For example, compressing the CSF, H, from the first dimensional size, to the second dimensional size may be fixed. In some implementations, the amount of compression may be variable. For example, encoder and decoder architectures may be configured to support variable compression and decompression ratios, respectively. In some cases, each UE115may have one or more encoders215, and different UEs115may have different encoders215. For example, a UE115may be configured with an encoder215based on the type of UE115. Accordingly, two different types of UEs115may be configured with two different encoders215. Therefore, the network device105would maintain two different decoders220corresponding to the two different encoders215. Accordingly, in some cases, a network device105may be configured with a large number of decoders220. Additionally, the network device105may switch between the many decoders220each time the network device105receives a compressed channel estimation from a different encoder215resulting in increased complexity, and increased latency at the network device105.

To improve compression techniques, a network device105may be configured with a decoder220(e.g., a universal decoder, a global decoder) that is compatible with multiple or all types of encoders. For example, in some cases, the network device105may be configured with a single universal decoder220(e.g., a single neural network) irrespective of the number of UEs115, and/or encoders215the network device105is communicating with. For example, UE115-amay compress a channel, H1to lower-dimensional form, h1, via encoder215-a. UE115-amay transmit the lower-dimensional state, h1, of the CSF210to network device105-avia communication link205-a. Similarly, UE115-bmay compress a channel, Hz to lower-dimensional form, h2, via encoder215-b. UE115-bmay transmit the lower-dimensional state, h2, of the CSF210to network device105-avia communication link205-b. Network device105-amay be configured with universal decoder220that network device105-amay use to decompress h1to the original, H1, and decompress h2to the original, Hz.

In some cases, as described, UEs115may have a single unique encoder215that is compatible with the universal decoder220at the network device105. In some other cases, UEs115may have more than one encoder215that are each compatible with the universal decoder220. For example, each encoder215may correspond to a statistically different channel model (e.g., indoors, urban macro cell, urban micro cell). In another example, each encoder215may correspond to a set of antenna ports, a set of antenna panels, etc. Accordingly, a universal decoder220may enable personalized design of encoders at different UEs115. Additionally, implementing a universal decoder220irrespective of the number of encoders215and/or UEs115may provide a scalable approach for reducing CSF overhead. In some cases, the encoders215may be designed (e.g., trained) to be compatible the universal decoder220. In some cases, the encoders215may be designed via machine learning techniques that include training a set of one or more parameters with a dataset associated with the set of one or more parameters.

In order to improve the decoding performance of the universal decoder, however, the input dimension of the universal decoder220may be increased compared to the case in which the network device105is configured with decoders220specific to UE encoders215, as described in more detail with reference toFIG.3. Increasing the size of the input to the universal decoder220may relax the task of the universal decoder220as the universal decoder220may be provided more information to determine the original CSF, H (e.g., there is less decompression for the universal decoder220to do). In order to increase the input to the universal decoder220without increasing the size of the transmission between the UE115and network device105(e.g., while continuing to achieve the reduced overhead of the separate encoder-decoder pair scenario), the UE115and network device105may be configured to perform a multi-step compression and decompression procedure, respectively. The multi-step compression and decompression procedure may implement entropy coding, as described in more detail with reference toFIG.4.

FIG.3illustrates an example of a wireless communications system300that supports techniques for encoding and decoding a channel between wireless communication devices in accordance with aspects of the present disclosure. The wireless communications system300may include one or more network devices105and one or more UE115, which may be examples of the network devices105and UEs115as described with reference toFIGS.1and2. In some cases, a network device105may be configured with a universal decoder310for decompressing messages from multiple UEs115, and/or multiple encoders305. In some cases, a UE115and a network device105may be configured to perform entropy coding techniques based on the universal decoder at the network device105. Additionally, or alternatively, other wireless devices, such as a UE115, may be configured with a universal decoder.

In some cases, a network device105may be configured with a specific decoder corresponding to a specific encoder305, where each encoder305may be configured to compress a channel, H, to a lower dimensional form, h that occupies a dimensional space315. For example, encoder305-amay encode channel, H1, to a compressed form, h1, occupying dimensional space315-a. The UE115corresponding to encoder305-amay transmit the compressed channel, h1, to the network device105and in the case that the network device105is configured with a specific decoder corresponding to encoder305-a, the network device105may decompress the channel without increasing the size of the decoder that is specifically designed for encoder305-a, or vice versa (e.g., the encoder215was specifically designed for the decoder). Any number, k, of UEs115may perform a similar procedure. For example, encoder305-b(e.g., of a kthUE115) may encode channel, Hk, to a compressed form, hk, occupying dimensional space315-b. The network device105may similarly decompress the channel, hk, without increasing the size of a decoder specifically designed for encoder305-b, or vice versa. Every point in the low-dimensional spaces (e.g., dimensional spaces315-a, and315-b) may be mapped to a channel in the original high-dimensional space by the decoder310.

As described herein with reference toFIG.2, a network device105may be configured with a universal decoder310that is compatible with one or more different UEs115, one or more different encoders305, or a combination thereof. For example, the universal decoder310may be compatible with any number of encoders305. Therefore, the universal decoder310may receive any number of compressed channels (e.g., hk, k={1, . . . , K}) and convert the compressed channels to original form (e.g., Hk, k={1, . . . , K}). In some cases, the universal decoder310may simultaneously decode multiple compressed signals (e.g., from the different UEs115, from different encoders305, or a combination thereof), or the universal decoder310may be configured to separately decode different compressed signals. The universal decoder310may be configured (e.g., trained) to reconstruct all the points of the original channel.

In order to improve the decoding performance of the universal decoder310, the input to the universal decoder310may be increased compared to the case in which the network device105is configured with decoders specific to UE encoders305. For example, rather than inputting a message corresponding to dimensional space315-aand/or315-b, the network device105may instead be configured to input a message corresponding to dimensional space315-cto the universal decoder310. Increasing the size of the input to the universal decoder310may relax the task of the universal decoder310as the universal decoder310may have more information to determine the original CSF, H (e.g., the universal decoder may perform less decompressing of the signal).

In some cases, the low-dimensional space315-aand/or low-dimensional space315-bmay be increased by a factor of ∇, represented by dimensional space315-c. In some cases, the factor, ∇, may be based on a union of one or more compressed channels, hk, (e.g., ∪k=1Khk). In some cases, in order to achieve the increased input to the universal decoder, the encoders305may be configured to compress the channel, H, in accordance with dimensional space315-c. However, by compressing the channel, H, to dimensional space315-crather than to one of dimensional space315-aor315-b, the feedback size may increase. Therefore, in order to maintain the reduced overhead achieved by transmitting CSF in accordance with dimensional spaces315-aand315-b, the UEs115and the network device105may be configured to perform a multi-step compression procedure, where the multi-step compression procedure may include entropy coding.

FIG.4illustrates an example of a wireless communications system400that supports techniques for encoding and decoding a channel between wireless communication devices in accordance with aspects of the present disclosure. The wireless communications system400may include one or more network devices105and one or more UE115, which may be examples of the network devices105and UEs115as described with reference toFIGS.1through3. In some cases, a network device105may be configured with a universal decoder for decompressing messages from multiple UEs115, and/or multiple encoders. In some cases, a UE115and a network device105may be configured to perform entropy coding techniques based on the universal decoder at the network device105. Additionally, or alternatively, other wireless devices, such as a UE115, may be configured with a universal decoder.

As described herein, a UE115and a network device105may be configured to communicate CSF information between one another in accordance with a multi-step compression procedure. In an example of the multi-step compression procedure, each encoder405may still be configured to compress the channel, but the compression may not be as low as in the case that the network device105has an individual decoder for each encoder405. For example, rather than compressing the CSF information to h of a size corresponding to dimensional space425-a, the encoder405may instead be configured to compress the CSF information to h of a size corresponding to dimensional space425-b. Dimensional space425-bmay be larger (e.g., include more dimensions) than dimensional space425-a, but may be smaller than the original channel size, H. Dimensional space425-bmay be referred to as a global unified low-dimensional space.

To further increase the compression of the channel feedback, so as to maintain reduced transmission overhead, a UE115may apply entropy coding to the output of the encoder. Entropy coding may refer to a lossless data compression scheme that allows the original data to be reconstructed from the compressed data. In order to perform the entropy coding, a UE115may be configured with one or more entropy encoders415that takes the output of the encoder405, and further compresses the channel, such as to a size associated with dimensional space425-a. Accordingly, an encoder405may take the original channel, Hk, and may output a first compression of the channel, where the first compression may be a size associated with dimensional space425-b. The entropy encoder415may output a second, smaller, compression of the channel, where the second compression may be a size associated with dimensional space425-a. The UE115may then transmit the second compression, hk, to the network device105with reduced overhead.

The network device105may receive the compressed channel, hk, and may apply a corresponding entropy decoding technique to the compressed channel in order to obtain the increased input for the universal decoder410. In order to perform the entropy decoding technique, the network device105may be configured with one or more entropy decoders420. For example, the network device105may receive a compressed channel, hk, associated with dimensional space425-a. The network device105may input the compressed channel to an entropy decoder420, which may partially decompress the channel to a size associated with dimensional space425-b, for example. The network device105may the input the output of the entropy decoder420to universal decoder410, where the universal decoder410may perform the rest of the decompression to fully decompress the channel, hk, to the original channel, Hk.

In some cases, each entropy decoder420may be associated with a particular entropy encoder415at a UE115. In such cases, operating a network device105with one entropy decoder420per UE entropy encoder415to implement the universal decoder410may result in less complexity and overhead than configuring the network device105with one decoder410per encoder405. In some cases, an entropy decoder420may be compatible with all encoders at a particular UE115, with encoders of a particular type, with UEs of a particular type, or a combination thereof. In some cases, the entropy decoder420may be a universal entropy decoder compatible with many entropy encoders415.

In the case that the network device105is configured with one entropy decoder420per entropy encoder415(e.g., entropy coder pairs), the network device105may identify which entropy decoder420to use upon receiving a compressed channel, hk. In some cases, the network device105may identify the entropy decoder420based on an index, k (e.g., a user index, UE index). The index, k, may be associated with the transmitting UE115and/or entropy encoder415, and thus may also be used to identify the appropriate entropy decoder420. For example, each entropy decoder420of the network device105may be assigned an index, k. Therefore, a first UE115(e.g., UE1) may compress a signal (such as via a first entropy encoder415) and transmit the compressed signal, h1, to the network device105. The network device105may receive the compressed signal, h1, and identify a first entropy decoder420(e.g., entropy decoder1) to decompress h1, where 1 is the index. In some cases, a UE115may transmit an indication to the network device105of one or more indices associated the UE115(e.g., in RRC, UCI, MAC-CE). In some cases, the network device105may identify the index associated with a received compressed channel based on the one or more resources (e.g., time resources, frequency resources) over which the network device105received the compressed channel. For example, a UE115may be scheduled to transmit in a set of resources, such as by the network device105. The network device105may then determine the index based on the scheduling and the resources over which the compressed channel was received.

In some cases, the network device105use the UE index to aid in the decompression of the channel. For example, the network device105may concatenate the input and/or the output of the entropy decoder, hk, by a UE index (k). For example, the entropy decoder420may take the encoder index k as an additional input and at least partially decompress the channel from the vector {k, hk}. Additionally, or alternatively, the universal decoder420may take the encoder index k as an additional input and reconstruct the channel from the vector {k, hk}. The vector {k, hk} may represent a further enlarged low-dimensional space. For example, as the UE index provides the entropy decoder420and/or the universal decoder420with additional information of the UE115, the task performed by the entropy decoder420and/or the universal decoder410may be further simplified.

In some cases, the network device105use a context vector (ck) (e.g., a UE specific embedding vector) to aid in the decompression of the channel. The context vector may indicate on or more additional parameters associated the transmitting UE115. In some cases, the UE115may transmit the context vector to the network device105(e.g., in RRC, UCI, MAC-CE, etc.), and/or the network device105may identify the context vector. In some cases, the context vector may be fixed such that the context vector may not change even if the channel between the UE115and the network device105changes. The universal decoder420may takes the embedding vector ckcorresponding to the encoder index k as an additional input and reconstructs the channel from the vector {ck, hk}. The vector {ck, hk} may represent a further enlarged low-dimensional space. For example, as the context vector provides the universal decoder420with additional information of the UE115, the computation performed by the universal decoder410may be further simplified.

The entropy coding technique may be a non-machine learning technique, or a machine-learning based technique (e.g., a neural network), where the machine-learning based technique may include training a set of one or more parameters with a dataset that is associated with the set of one or more parameters. In some cases, the entropy coding technique may be trained together with an encoder405of the UE115and/or a universal decoder410of a network device105. In some cases, the entropy coding technique may be trained separately from an encoder405of the UE115, a universal decoder410of a network device105, or both. In some cases, the entropy encoder415may be separate from or a part of encoder405. For example, in the case of neural networks, the entropy encoder415may be one or more layers of the encoder405. Similarly, the entropy decoder420may be separate from or a part of universal decoder410. For example, in the case of neural networks, the entropy decoder420may be one or more layers of the universal decoder410. For example, the entropy encoders415and decoders420may be trained end-to-end along with the encoders405and the universal decoder410.

Accordingly, the techniques described herein allow a UE115and network device105to achieve reduced signaling overhead by compressing the channel transmitted between the UE115and network device105, while mitigating complexity at the network device.

In some cases, the entropy coding technique described herein may be optional, such that the network device105and UE115may perform the compression and decompression of message using an encoder405, and the universal decoder410, respectively. While the techniques described herein are described with reference to compressing CSF, the techniques described may be used and/or adapted for other autoencoder related communication tasks, such as end-to-end learning of the modulation and waveform for the wireless data communications, accurate positioning estimation, etc.

FIG.5illustrates an example of a process flow500that supports techniques for encoding and decoding a channel between wireless communication devices in accordance with aspects of the present disclosure. The process flow500may illustrate an example signal compression and decompression procedure between devices. For example, UE115-cmay transmit a compressed message to network device105-b. Network device105-bmay receive the compressed message and perform a decompression procedure to obtain the original message. Network device105-band UE115-cmay be examples of the corresponding wireless devices described with reference toFIGS.1through4. In some cases, instead of network device105-bimplementing the decompression procedure, a different type of wireless device (e.g., a UE115) may perform a same or similar decompression procedure described herein. Similarly, instead of UE115-cimplementing the compression procedure, a different type of wireless device (e.g., a network device105) may perform a same or similar compression procedure described herein. Alternative examples of the following may be implemented, where some steps are performed in a different order than described or are not performed at all. In some cases, steps may include additional features not mentioned below, or further steps may be added.

At505, UE115-cmay encode CSF information associated with UE115-cto compress the CSF information to a first encoding output associated with a first dimensional space. In some cases, UE115-cmay receive an indication of a size of the first dimensional space, where UE115-cmay encode the CSF information based on the indication. UE115-cmay estimate a channel between UE115-cand network device105-b, where the CSF information may be based on estimating the channel.

At510, UE115-cmay apply entropy coding to the first encoding output of the CSF information, where the entropy coding may transform the first encoding output to a second encoding output associated with a second dimensional space that is smaller than the first dimensional space of the first encoding output. In some cases, UE115-cmay receive an indication of a size of the second dimensional space, where UE115-cmay apply the entropy coding to the first encoding output based on the indication. UE115-cmay receive an indication of an entropy coding technique, where UE115-cmay apply the entropy coding to the first encoding output based on the indication.

The entropy coding technique may be a machine-learning based technique, where the machine-learning based technique may include training a set of one or more parameters with a dataset associated with the set of one or more parameters. The entropy coding technique may be trained together with an encoder of UE115-cand a universal decoder of a network device105. The entropy coding technique may be trained separately from an encoder of UE115-c, a universal decoder of a network device105, or both. In some cases, UE115-cmay be configured with one or more encoders for encoding the CSF information, where the one or more encoders may each be configured to be compatible with a universal decoder at a network device105. In some implementations, each encoder of the one or more encoders may be implemented by a neural network that utilizes machine-learning to compress the CSF information to the first encoding output. In some implementations, each of the one or more encoders may be associated with a different channel model, or correspond to a different set of antenna ports, or correspond to a different set of antenna panels, or a combination thereof.

Each point of the first dimensional space, the second dimensional space, or a combination thereof, may map to the CSF information in a dimensional space larger than the first dimensional space.

At515, UE115-cmay transmit a CSF message including the second encoding output. In some cases, UE115-cmay transmit, to network device105-b, an indication of an index associated with UE115-cfor network device105-bto use in decoding the CSF message. In some cases, UE115-cmay transmit, to network device105-b, an indication of a context vector for network device105-bto use in decoding the CSF message. The context vector may be associated with one or more parameters of UE115-c.

At520, network device105-bmay apply entropy decoding to the compressed CSF information to partially decompress the compressed CSF information to a first decoding output associated with a second dimensional space. The second dimensional space may be larger than the first dimensional space.

At525, network device105-bmay decode the first decoding output to completely decompress the compressed CSF information to a second decoding output associated with a third dimensional space. The third dimensional space may be larger than the second dimensional space of the first decoding output. The network device may be configured with a universal decoder for decoding CSF information output from different encoders, where the universal decoder may be compatible with each of the different encoders.

The universal decoder may be trained based on one or more defined inputs and one or more defined outputs for the universal decoder. In some cases, the universal decoder may be configured based on one or more parameters defined for the universal decoder. The universal decoder may be implemented by a neural network that utilizes machine-learning to decompress the compressed CSF information to the second decoding output.

In some cases, decoding the first decoding output may include decoding the first decoding output by concatenating the first decoding output with an index associated with UE115-c. In some cases,105-bmay receive an indication of the index associated with UE115-cfor network device105-bto use in decoding the first decoding output. In some cases,105-bmay identify the index associated with UE115-cfor network device105-bto use in decoding the first decoding output. Identifying the index may be based on a set of one or more resources over which the CSF message is received by network device105-b.

In some cases, decoding the first decoding output may include decoding the first decoding output by concatenating the first decoding output with a context vector, where the context vector may be associated with one or more parameters of UE115-c. Network device105-bmay receive an indication of the context vector for network device105-bto use in decoding the CSF message.

In some implementations, network device105-bmay transmit an indication of a dimensional size of an output of an encoder of UE115-c. In some implementations, network device105-bmay transmit an indication of a dimensional size of an output of an entropy coding procedure to be performed by UE115-c. The first dimensional space of the compressed CSF information received by network device105-bmay be based on the dimensional size. In some cases, network device105-bmay transmit an indication of an entropy coding technique for UE115-cto apply to an output of an encoder of UE115-c. The entropy coding technique may be a machine-learning based technique, where the machine-learning based technique may include training a set of one or more parameters with a dataset associated with the set of one or more parameters. In some cases, the entropy coding technique may be trained together with the encoder of UE115-cand a universal decoder of network device105-b. In some cases, the entropy coding technique may be trained separately from the encoder of UE115-c, a universal decoder of network device105-b, or both. Each point of the first dimensional space, the second dimensional space, or a combination thereof may maps to the second decoding output of the third dimensional space.

FIG.6shows a block diagram600of a device605that supports techniques for encoding and decoding a channel between wireless communication devices in accordance with aspects of the present disclosure. The device605may be an example of aspects of a UE115as described herein. The device605may include a receiver610, a transmitter615, and a communications manager620. The device605may also include a processor. Each of these components may be in communication with one another (e.g., via one or more buses).

The receiver610may provide a means for receiving information such as packets, user data, control information, or any combination thereof associated with various information channels (e.g., control channels, data channels, information channels related to techniques for encoding and decoding a channel between wireless communication devices). Information may be passed on to other components of the device605. The receiver610may utilize a single antenna or a set of multiple antennas.

The transmitter615may provide a means for transmitting signals generated by other components of the device605. For example, the transmitter615may transmit information such as packets, user data, control information, or any combination thereof associated with various information channels (e.g., control channels, data channels, information channels related to techniques for encoding and decoding a channel between wireless communication devices). In some examples, the transmitter615may be co-located with a receiver610in a transceiver module. The transmitter615may utilize a single antenna or a set of multiple antennas.

The communications manager620, the receiver610, the transmitter615, or various combinations thereof or various components thereof may be examples of means for performing various aspects of techniques for encoding and decoding a channel between wireless communication devices as described herein. For example, the communications manager620, the receiver610, the transmitter615, or various combinations or components thereof may support a method for performing one or more of the functions described herein.

In some examples, the communications manager620, the receiver610, the transmitter615, or various combinations or components thereof may be implemented in hardware (e.g., in communications management circuitry). The hardware may include a processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic device, a discrete gate or transistor logic, discrete hardware components, or any combination thereof configured as or otherwise supporting a means for performing the functions described in the present disclosure. In some examples, a processor and memory coupled with the processor may be configured to perform one or more of the functions described herein (e.g., by executing, by the processor, instructions stored in the memory).

Additionally, or alternatively, in some examples, the communications manager620, the receiver610, the transmitter615, or various combinations or components thereof may be implemented in code (e.g., as communications management software or firmware) executed by a processor. If implemented in code executed by a processor, the functions of the communications manager620, the receiver610, the transmitter615, or various combinations or components thereof may be performed by a general-purpose processor, a DSP, a central processing unit (CPU), an ASIC, an FPGA, or any combination of these or other programmable logic devices (e.g., configured as or otherwise supporting a means for performing the functions described in the present disclosure).

In some examples, the communications manager620may be configured to perform various operations (e.g., receiving, monitoring, transmitting) using or otherwise in cooperation with the receiver610, the transmitter615, or both. For example, the communications manager620may receive information from the receiver610, send information to the transmitter615, or be integrated in combination with the receiver610, the transmitter615, or both to receive information, transmit information, or perform various other operations as described herein.

The communications manager620may support wireless communications at a UE in accordance with examples as disclosed herein. For example, the communications manager620may be configured as or otherwise support a means for encoding CSF information associated with the UE to compress the CSF information to a first encoding output associated with a first dimensional space. The communications manager620may be configured as or otherwise support a means for applying entropy coding to the first encoding output of the CSF information, where the entropy coding transforms the first encoding output to a second encoding output associated with a second dimensional space that is smaller than the first dimensional space of the first encoding output. The communications manager620may be configured as or otherwise support a means for transmitting a CSF message including the second encoding output.

By including or configuring the communications manager620in accordance with examples as described herein, the device605(e.g., a processor controlling or otherwise coupled to the receiver610, the transmitter615, the communications manager620, or a combination thereof) may support techniques for more efficient utilization of communication resources.

FIG.7shows a block diagram700of a device705that supports techniques for encoding and decoding a channel between wireless communication devices in accordance with aspects of the present disclosure. The device705may be an example of aspects of a device605or a UE115as described herein. The device705may include a receiver710, a transmitter715, and a communications manager720. The device705may also include a processor. Each of these components may be in communication with one another (e.g., via one or more buses).

The receiver710may provide a means for receiving information such as packets, user data, control information, or any combination thereof associated with various information channels (e.g., control channels, data channels, information channels related to techniques for encoding and decoding a channel between wireless communication devices). Information may be passed on to other components of the device705. The receiver710may utilize a single antenna or a set of multiple antennas.

The transmitter715may provide a means for transmitting signals generated by other components of the device705. For example, the transmitter715may transmit information such as packets, user data, control information, or any combination thereof associated with various information channels (e.g., control channels, data channels, information channels related to techniques for encoding and decoding a channel between wireless communication devices). In some examples, the transmitter715may be co-located with a receiver710in a transceiver module. The transmitter715may utilize a single antenna or a set of multiple antennas.

The device705, or various components thereof, may be an example of means for performing various aspects of techniques for encoding and decoding a channel between wireless communication devices as described herein. For example, the communications manager720may include a CSF encoding manager725, an entropy coding manager730, a CSF transmission manager735, or any combination thereof. The communications manager720may be an example of aspects of a communications manager620as described herein. In some examples, the communications manager720, or various components thereof, may be configured to perform various operations (e.g., receiving, monitoring, transmitting) using or otherwise in cooperation with the receiver710, the transmitter715, or both. For example, the communications manager720may receive information from the receiver710, send information to the transmitter715, or be integrated in combination with the receiver710, the transmitter715, or both to receive information, transmit information, or perform various other operations as described herein.

The communications manager720may support wireless communications at a UE in accordance with examples as disclosed herein. The CSF encoding manager725may be configured as or otherwise support a means for encoding CSF information associated with the UE to compress the CSF information to a first encoding output associated with a first dimensional space. The entropy coding manager730may be configured as or otherwise support a means for applying entropy coding to the first encoding output of the CSF information, where the entropy coding transforms the first encoding output to a second encoding output associated with a second dimensional space that is smaller than the first dimensional space of the first encoding output. The CSF transmission manager735may be configured as or otherwise support a means for transmitting a CSF message including the second encoding output.

FIG.8shows a block diagram800of a communications manager820that supports techniques for encoding and decoding a channel between wireless communication devices in accordance with aspects of the present disclosure. The communications manager820may be an example of aspects of a communications manager620, a communications manager720, or both, as described herein. The communications manager820, or various components thereof, may be an example of means for performing various aspects of techniques for encoding and decoding a channel between wireless communication devices as described herein. For example, the communications manager820may include a CSF encoding manager825, an entropy coding manager830, a CSF transmission manager835, an encoding parameter reception manager840, an index indication manager845, a context vector indication manager850, a channel estimation manager855, or any combination thereof. Each of these components may communicate, directly or indirectly, with one another (e.g., via one or more buses).

The communications manager820may support wireless communications at a UE in accordance with examples as disclosed herein. The CSF encoding manager825may be configured as or otherwise support a means for encoding CSF information associated with the UE to compress the CSF information to a first encoding output associated with a first dimensional space. The entropy coding manager830may be configured as or otherwise support a means for applying entropy coding to the first encoding output of the CSF information, where the entropy coding transforms the first encoding output to a second encoding output associated with a second dimensional space that is smaller than the first dimensional space of the first encoding output. The CSF transmission manager835may be configured as or otherwise support a means for transmitting a CSF message including the second encoding output.

In some examples, the encoding parameter reception manager840may be configured as or otherwise support a means for receiving an indication of a size of the first dimensional space, where the UE encodes the CSF information based on the indication.

In some examples, the encoding parameter reception manager840may be configured as or otherwise support a means for receiving an indication of a size of the second dimensional space, where the UE applies the entropy coding to the first encoding output based on the indication.

In some examples, the entropy coding manager830may be configured as or otherwise support a means for receiving an indication of an entropy coding technique, where the UE applies the entropy coding to the first encoding output based on the indication.

In some examples, the entropy coding technique is a machine-learning based technique. In some examples, the machine-learning based technique includes training a set of one or more parameters with a dataset associated with the set of one or more parameters.

In some examples, the entropy coding technique is trained together with an encoder of the UE and a universal decoder of a network device.

In some examples, the entropy coding technique is trained separately from an encoder of the UE, a universal decoder of a network device, or both.

In some examples, the UE is configured with one or more encoders for encoding the CSF information, the one or more encoders each configured to be compatible with a universal decoder at a network device.

In some examples, each encoder of the one or more encoders is implemented by a neural network that utilizes machine-learning to compress the CSF information to the first encoding output.

In some examples, each of the one or more encoders is associated with a different channel model, or corresponds to a different set of antenna ports, or corresponds to a different set of antenna panels, or a combination thereof.

In some examples, the index indication manager845may be configured as or otherwise support a means for transmitting, to a network device, an indication of an index associated with the UE for the network device to use in decoding the CSF message.

In some examples, the context vector indication manager850may be configured as or otherwise support a means for transmitting, to a network device, an indication of a context vector for the network device to use in decoding the CSF message, the context vector associated with one or more parameters of the UE.

In some examples, each point of the first dimensional space, the second dimensional space, or a combination thereof, maps to the CSF information in a dimensional space larger than the first dimensional space.

In some examples, the channel estimation manager855may be configured as or otherwise support a means for estimating a channel between the UE and a network device, where the CSF information is based at least on part on estimating the channel.

FIG.9shows a diagram of a system900including a device905that supports techniques for encoding and decoding a channel between wireless communication devices in accordance with aspects of the present disclosure. The device905may be an example of or include the components of a device605, a device705, or a UE115as described herein. The device905may communicate wirelessly with one or more network devices105, UEs115, or any combination thereof. The device905may include components for bi-directional voice and data communications including components for transmitting and receiving communications, such as a communications manager920, an input/output (I/O) controller910, a transceiver915, an antenna925, a memory930, code935, and a processor940. These components may be in electronic communication or otherwise coupled (e.g., operatively, communicatively, functionally, electronically, electrically) via one or more buses (e.g., a bus945).

The I/O controller910may manage input and output signals for the device905. The I/O controller910may also manage peripherals not integrated into the device905. In some cases, the I/O controller910may represent a physical connection or port to an external peripheral. In some cases, the I/O controller910may utilize an operating system such as iOS®, ANDROID®, MS-DOS®, MS-WINDOWS®, OS/2®, UNIX®, LINUX®, or another known operating system. Additionally, or alternatively, the I/O controller910may represent or interact with a modem, a keyboard, a mouse, a touchscreen, or a similar device. In some cases, the I/O controller910may be implemented as part of a processor, such as the processor940. In some cases, a user may interact with the device905via the I/O controller910or via hardware components controlled by the I/O controller910.

In some cases, the device905may include a single antenna925. However, in some other cases, the device905may have more than one antenna925, which may be capable of concurrently transmitting or receiving multiple wireless transmissions. The transceiver915may communicate bi-directionally, via the one or more antennas925, wired, or wireless links as described herein. For example, the transceiver915may represent a wireless transceiver and may communicate bi-directionally with another wireless transceiver. The transceiver915may also include a modem to modulate the packets, to provide the modulated packets to one or more antennas925for transmission, and to demodulate packets received from the one or more antennas925. The transceiver915, or the transceiver915and one or more antennas925, may be an example of a transmitter615, a transmitter715, a receiver610, a receiver710, or any combination thereof or component thereof, as described herein.

The memory930may include random access memory (RAM) and read-only memory (ROM). The memory930may store computer-readable, computer-executable code935including instructions that, when executed by the processor940, cause the device905to perform various functions described herein. The code935may be stored in a non-transitory computer-readable medium such as system memory or another type of memory. In some cases, the code935may not be directly executable by the processor940but may cause a computer (e.g., when compiled and executed) to perform functions described herein. In some cases, the memory930may contain, among other things, a basic I/O system (BIOS) which may control basic hardware or software operation such as the interaction with peripheral components or devices.

The processor940may include an intelligent hardware device (e.g., a general-purpose processor, a DSP, a CPU, a microcontroller, an ASIC, an FPGA, a programmable logic device, a discrete gate or transistor logic component, a discrete hardware component, or any combination thereof). In some cases, the processor940may be configured to operate a memory array using a memory controller. In some other cases, a memory controller may be integrated into the processor940. The processor940may be configured to execute computer-readable instructions stored in a memory (e.g., the memory930) to cause the device905to perform various functions (e.g., functions or tasks supporting techniques for encoding and decoding a channel between wireless communication devices). For example, the device905or a component of the device905may include a processor940and memory930coupled with or to the processor940, the processor940and memory930configured to perform various functions described herein.

The communications manager920may support wireless communications at a UE in accordance with examples as disclosed herein. For example, the communications manager920may be configured as or otherwise support a means for encoding CSF information associated with the UE to compress the CSF information to a first encoding output associated with a first dimensional space. The communications manager920may be configured as or otherwise support a means for applying entropy coding to the first encoding output of the CSF information, where the entropy coding transforms the first encoding output to a second encoding output associated with a second dimensional space that is smaller than the first dimensional space of the first encoding output. The communications manager920may be configured as or otherwise support a means for transmitting a CSF message including the second encoding output.

By including or configuring the communications manager920in accordance with examples as described herein, the device905may support techniques for more efficient utilization of communication resources.

In some examples, the communications manager920may be configured to perform various operations (e.g., receiving, monitoring, transmitting) using or otherwise in cooperation with the transceiver915, the one or more antennas925, or any combination thereof. Although the communications manager920is illustrated as a separate component, in some examples, one or more functions described with reference to the communications manager920may be supported by or performed by the processor940, the memory930, the code935, or any combination thereof. For example, the code935may include instructions executable by the processor940to cause the device905to perform various aspects of techniques for encoding and decoding a channel between wireless communication devices as described herein, or the processor940and the memory930may be otherwise configured to perform or support such operations.

FIG.10shows a block diagram1000of a device1005that supports techniques for encoding and decoding a channel between wireless communication devices in accordance with aspects of the present disclosure. The device1005may be an example of aspects of a network device as described herein. The device1005may include a receiver1010, a transmitter1015, and a communications manager1020. The device1005may also include a processor. Each of these components may be in communication with one another (e.g., via one or more buses).

The receiver1010may provide a means for receiving information such as packets, user data, control information, or any combination thereof associated with various information channels (e.g., control channels, data channels, information channels related to techniques for encoding and decoding a channel between wireless communication devices). Information may be passed on to other components of the device1005. The receiver1010may utilize a single antenna or a set of multiple antennas.

The transmitter1015may provide a means for transmitting signals generated by other components of the device1005. For example, the transmitter1015may transmit information such as packets, user data, control information, or any combination thereof associated with various information channels (e.g., control channels, data channels, information channels related to techniques for encoding and decoding a channel between wireless communication devices). In some examples, the transmitter1015may be co-located with a receiver1010in a transceiver module. The transmitter1015may utilize a single antenna or a set of multiple antennas.

The communications manager1020, the receiver1010, the transmitter1015, or various combinations thereof or various components thereof may be examples of means for performing various aspects of techniques for encoding and decoding a channel between wireless communication devices as described herein. For example, the communications manager1020, the receiver1010, the transmitter1015, or various combinations or components thereof may support a method for performing one or more of the functions described herein.

In some examples, the communications manager1020, the receiver1010, the transmitter1015, or various combinations or components thereof may be implemented in hardware (e.g., in communications management circuitry). The hardware may include a processor, a DSP, an ASIC, an FPGA or other programmable logic device, a discrete gate or transistor logic, discrete hardware components, or any combination thereof configured as or otherwise supporting a means for performing the functions described in the present disclosure. In some examples, a processor and memory coupled with the processor may be configured to perform one or more of the functions described herein (e.g., by executing, by the processor, instructions stored in the memory).

Additionally, or alternatively, in some examples, the communications manager1020, the receiver1010, the transmitter1015, or various combinations or components thereof may be implemented in code (e.g., as communications management software or firmware) executed by a processor. If implemented in code executed by a processor, the functions of the communications manager1020, the receiver1010, the transmitter1015, or various combinations or components thereof may be performed by a general-purpose processor, a DSP, a CPU, an ASIC, an FPGA, or any combination of these or other programmable logic devices (e.g., configured as or otherwise supporting a means for performing the functions described in the present disclosure).

In some examples, the communications manager1020may be configured to perform various operations (e.g., receiving, monitoring, transmitting) using or otherwise in cooperation with the receiver1010, the transmitter1015, or both. For example, the communications manager1020may receive information from the receiver1010, send information to the transmitter1015, or be integrated in combination with the receiver1010, the transmitter1015, or both to receive information, transmit information, or perform various other operations as described herein.

The communications manager1020may support wireless communications at a network device in accordance with examples as disclosed herein. For example, the communications manager1020may be configured as or otherwise support a means for receiving a CSF message including compressed CSF information associated with a first dimensional space. The communications manager1020may be configured as or otherwise support a means for applying entropy decoding to the compressed CSF information to partially decompress the compressed CSF information to a first decoding output associated with a second dimensional space, where the second dimensional space is larger than the first dimensional space. The communications manager1020may be configured as or otherwise support a means for decoding the first decoding output to completely decompress the compressed CSF information to a second decoding output associated with a third dimensional space, the third dimensional space larger than the second dimensional space of the first decoding output.

By including or configuring the communications manager1020in accordance with examples as described herein, the device1005(e.g., a processor controlling or otherwise coupled to the receiver1010, the transmitter1015, the communications manager1020, or a combination thereof) may support techniques for more efficient utilization of communication resources.

FIG.11shows a block diagram1100of a device1105that supports techniques for encoding and decoding a channel between wireless communication devices in accordance with aspects of the present disclosure. The device1105may be an example of aspects of a device1005or a network device105or115as described herein. The device1105may include a receiver1110, a transmitter1115, and a communications manager1120. The device1105may also include a processor. Each of these components may be in communication with one another (e.g., via one or more buses).

The receiver1110may provide a means for receiving information such as packets, user data, control information, or any combination thereof associated with various information channels (e.g., control channels, data channels, information channels related to techniques for encoding and decoding a channel between wireless communication devices). Information may be passed on to other components of the device1105. The receiver1110may utilize a single antenna or a set of multiple antennas.

The transmitter1115may provide a means for transmitting signals generated by other components of the device1105. For example, the transmitter1115may transmit information such as packets, user data, control information, or any combination thereof associated with various information channels (e.g., control channels, data channels, information channels related to techniques for encoding and decoding a channel between wireless communication devices). In some examples, the transmitter1115may be co-located with a receiver1110in a transceiver module. The transmitter1115may utilize a single antenna or a set of multiple antennas.

The device1105, or various components thereof, may be an example of means for performing various aspects of techniques for encoding and decoding a channel between wireless communication devices as described herein. For example, the communications manager1120may include a CSF reception component1125, an entropy decoding component1130, a CSF decoding component1135, or any combination thereof. The communications manager1120may be an example of aspects of a communications manager1020as described herein. In some examples, the communications manager1120, or various components thereof, may be configured to perform various operations (e.g., receiving, monitoring, transmitting) using or otherwise in cooperation with the receiver1110, the transmitter1115, or both. For example, the communications manager1120may receive information from the receiver1110, send information to the transmitter1115, or be integrated in combination with the receiver1110, the transmitter1115, or both to receive information, transmit information, or perform various other operations as described herein.

The communications manager1120may support wireless communications at a network device in accordance with examples as disclosed herein. The CSF reception component1125may be configured as or otherwise support a means for receiving a CSF message including compressed CSF information associated with a first dimensional space. The entropy decoding component1130may be configured as or otherwise support a means for applying entropy decoding to the compressed CSF information to partially decompress the compressed CSF information to a first decoding output associated with a second dimensional space, where the second dimensional space is larger than the first dimensional space. The CSF decoding component1135may be configured as or otherwise support a means for decoding the first decoding output to completely decompress the compressed CSF information to a second decoding output associated with a third dimensional space, the third dimensional space larger than the second dimensional space of the first decoding output.

FIG.12shows a block diagram1200of a communications manager1220that supports techniques for encoding and decoding a channel between wireless communication devices in accordance with aspects of the present disclosure. The communications manager1220may be an example of aspects of a communications manager1020, a communications manager1120, or both, as described herein. The communications manager1220, or various components thereof, may be an example of means for performing various aspects of techniques for encoding and decoding a channel between wireless communication devices as described herein. For example, the communications manager1220may include a CSF reception component1225, an entropy decoding component1230, a CSF decoding component1235, an encoding parameter transmission component1240, an entropy coding indication component1245, an index component1250, a context vector component1255, or any combination thereof. Each of these components may communicate, directly or indirectly, with one another (e.g., via one or more buses).

The communications manager1220may support wireless communications at a network device in accordance with examples as disclosed herein. The CSF reception component1225may be configured as or otherwise support a means for receiving a CSF message including compressed CSF information associated with a first dimensional space. The entropy decoding component1230may be configured as or otherwise support a means for applying entropy decoding to the compressed CSF information to partially decompress the compressed CSF information to a first decoding output associated with a second dimensional space, where the second dimensional space is larger than the first dimensional space. The CSF decoding component1235may be configured as or otherwise support a means for decoding the first decoding output to completely decompress the compressed CSF information to a second decoding output associated with a third dimensional space, the third dimensional space larger than the second dimensional space of the first decoding output.

In some examples, the encoding parameter transmission component1240may be configured as or otherwise support a means for transmitting an indication of a dimensional size of an output of an encoder of a UE.

In some examples, the encoding parameter transmission component1240may be configured as or otherwise support a means for transmitting an indication of a dimensional size of an output of an entropy coding procedure to be performed by a UE, where the first dimensional space of the compressed CSF information received by the network device is based on the dimensional size.

In some examples, the entropy coding indication component1245may be configured as or otherwise support a means for transmitting an indication of an entropy coding technique for a UE to apply to an output of an encoder of the UE.

In some examples, the entropy coding technique is a machine-learning based technique. In some examples, the machine-learning based technique includes training a set of one or more parameters with a dataset associated with the set of one or more parameters.

In some examples, the entropy coding technique is trained together with the encoder of the UE and a universal decoder of the network device.

In some examples, the entropy coding technique is trained separately from the encoder of the UE, a universal decoder of the network device, or both.

In some examples, the network device is configured with a universal decoder for decoding CSF information output from different encoders, the universal decoder compatible with each of the different encoders.

In some examples, the universal decoder is trained based on one or more defined inputs and one or more defined outputs for the universal decoder.

In some examples, the universal decoder is configured based on one or more parameters defined for the universal decoder.

In some examples, the universal decoder is implemented by a neural network that utilizes machine-learning to decompress the compressed CSF information to the second decoding output.

In some examples, to support decoding the first decoding output, the CSF decoding component1235may be configured as or otherwise support a means for decoding the first decoding output by concatenating the first decoding output with an index associated with a UE.

In some examples, the index component1250may be configured as or otherwise support a means for receiving an indication of the index associated with the UE for the network device to use in decoding the first decoding output.

In some examples, the index component1250may be configured as or otherwise support a means for identifying the index associated with the UE for the network device to use in decoding the first decoding output, where identifying the index is based on a set of one or more resources over which the CSF message is received by the network device.

In some examples, to support decoding the first decoding output, the CSF decoding component1235may be configured as or otherwise support a means for decoding the first decoding output by concatenating the first decoding output with a context vector, the context vector associated with one or more parameters of a UE.

In some examples, the context vector component1255may be configured as or otherwise support a means for receiving an indication of the context vector for the network device to use in decoding the CSF message.

In some examples, each point of the first dimensional space, the second dimensional space, or a combination thereof maps to the second decoding output of the third dimensional space.

FIG.13shows a diagram of a system1300including a device1305that supports techniques for encoding and decoding a channel between wireless communication devices in accordance with aspects of the present disclosure. The device1305may be an example of or include the components of a device1005, a device1105, or a network device as described herein. The device1305may include components for bi-directional voice and data communications including components for transmitting and receiving communications, such as a communications manager1320, a network communications manager1310, a transceiver1315, an antenna1325, a memory1330, code1335, a processor1340, and an inter-station communications manager1345. These components may be in electronic communication or otherwise coupled (e.g., operatively, communicatively, functionally, electronically, electrically) via one or more buses (e.g., a bus1350).

The network communications manager1310may manage communications with a core network130(e.g., via one or more wired backhaul links). For example, the network communications manager1310may manage the transfer of data communications for client devices, such as one or more UEs115.

In some cases, the device1305may include a single antenna1325. However, in some other cases the device1305may have more than one antenna1325, which may be capable of concurrently transmitting or receiving multiple wireless transmissions. The transceiver1315may communicate bi-directionally, via the one or more antennas1325, wired, or wireless links as described herein. For example, the transceiver1315may represent a wireless transceiver and may communicate bi-directionally with another wireless transceiver. The transceiver1315may also include a modem to modulate the packets, to provide the modulated packets to one or more antennas1325for transmission, and to demodulate packets received from the one or more antennas1325. The transceiver1315, or the transceiver1315and one or more antennas1325, may be an example of a transmitter1015, a transmitter1115, a receiver1010, a receiver1110, or any combination thereof or component thereof, as described herein.

The memory1330may include RAM and ROM. The memory1330may store computer-readable, computer-executable code1335including instructions that, when executed by the processor1340, cause the device1305to perform various functions described herein. The code1335may be stored in a non-transitory computer-readable medium such as system memory or another type of memory. In some cases, the code1335may not be directly executable by the processor1340but may cause a computer (e.g., when compiled and executed) to perform functions described herein. In some cases, the memory1330may contain, among other things, a BIOS which may control basic hardware or software operation such as the interaction with peripheral components or devices.

The processor1340may include an intelligent hardware device (e.g., a general-purpose processor, a DSP, a CPU, a microcontroller, an ASIC, an FPGA, a programmable logic device, a discrete gate or transistor logic component, a discrete hardware component, or any combination thereof). In some cases, the processor1340may be configured to operate a memory array using a memory controller. In some other cases, a memory controller may be integrated into the processor1340. The processor1340may be configured to execute computer-readable instructions stored in a memory (e.g., the memory1330) to cause the device1305to perform various functions (e.g., functions or tasks supporting techniques for encoding and decoding a channel between wireless communication devices). For example, the device1305or a component of the device1305may include a processor1340and memory1330coupled to the processor1340, the processor1340and memory1330configured to perform various functions described herein.

The inter-station communications manager1345may manage communications with other network devices105, and may include a controller or scheduler for controlling communications with UEs115in cooperation with other network devices105. For example, the inter-station communications manager1345may coordinate scheduling for transmissions to UEs115for various interference mitigation techniques such as beamforming or joint transmission. In some examples, the inter-station communications manager1345may provide an X2 interface within an LTE/LTE-A wireless communications network technology to provide communication between network devices105.

The communications manager1320may support wireless communications at a network device in accordance with examples as disclosed herein. For example, the communications manager1320may be configured as or otherwise support a means for receiving a CSF message including compressed CSF information associated with a first dimensional space. The communications manager1320may be configured as or otherwise support a means for applying entropy decoding to the compressed CSF information to partially decompress the compressed CSF information to a first decoding output associated with a second dimensional space, where the second dimensional space is larger than the first dimensional space. The communications manager1320may be configured as or otherwise support a means for decoding the first decoding output to completely decompress the compressed CSF information to a second decoding output associated with a third dimensional space, the third dimensional space larger than the second dimensional space of the first decoding output.

By including or configuring the communications manager1320in accordance with examples as described herein, the device1305may support techniques for more efficient utilization of communication resources.

In some examples, the communications manager1320may be configured to perform various operations (e.g., receiving, monitoring, transmitting) using or otherwise in cooperation with the transceiver1315, the one or more antennas1325, or any combination thereof. Although the communications manager1320is illustrated as a separate component, in some examples, one or more functions described with reference to the communications manager1320may be supported by or performed by the processor1340, the memory1330, the code1335, or any combination thereof. For example, the code1335may include instructions executable by the processor1340to cause the device1305to perform various aspects of techniques for encoding and decoding a channel between wireless communication devices as described herein, or the processor1340and the memory1330may be otherwise configured to perform or support such operations.

FIG.14shows a flowchart illustrating a method1400that supports techniques for encoding and decoding a channel between wireless communication devices in accordance with aspects of the present disclosure. The operations of the method1400may be implemented by a UE or its components as described herein. For example, the operations of the method1400may be performed by a UE115as described with reference toFIGS.1through9. In some examples, a UE may execute a set of instructions to control the functional elements of the UE to perform the described functions. Additionally, or alternatively, the UE may perform aspects of the described functions using special-purpose hardware.

At1405, the method may include encoding CSF information associated with the UE to compress the CSF information to a first encoding output associated with a first dimensional space. The operations of1405may be performed in accordance with examples as disclosed herein. In some examples, aspects of the operations of1405may be performed by a CSF encoding manager825as described with reference toFIG.8.

At1410, the method may include applying entropy coding to the first encoding output of the CSF information, where the entropy coding transforms the first encoding output to a second encoding output associated with a second dimensional space that is smaller than the first dimensional space of the first encoding output. The operations of1410may be performed in accordance with examples as disclosed herein. In some examples, aspects of the operations of1410may be performed by an entropy coding manager830as described with reference toFIG.8.

At1415, the method may include transmitting a CSF message including the second encoding output. The operations of1415may be performed in accordance with examples as disclosed herein. In some examples, aspects of the operations of1415may be performed by a CSF transmission manager835as described with reference toFIG.8.

FIG.15shows a flowchart illustrating a method1500that supports techniques for encoding and decoding a channel between wireless communication devices in accordance with aspects of the present disclosure. The operations of the method1500may be implemented by a UE or its components as described herein. For example, the operations of the method1500may be performed by a UE115as described with reference toFIGS.1through9. In some examples, a UE may execute a set of instructions to control the functional elements of the UE to perform the described functions. Additionally, or alternatively, the UE may perform aspects of the described functions using special-purpose hardware.

At1505, the method may include receiving an indication of a size of the first dimensional space, where the UE encodes the CSF information based on the indication. The operations of1505may be performed in accordance with examples as disclosed herein. In some examples, aspects of the operations of1505may be performed by an encoding parameter reception manager840as described with reference toFIG.8.

At1510, the method may include encoding CSF information associated with the UE to compress the CSF information to a first encoding output associated with a first dimensional space. The operations of1510may be performed in accordance with examples as disclosed herein. In some examples, aspects of the operations of1510may be performed by a CSF encoding manager825as described with reference toFIG.8.

At1515, the method may include applying entropy coding to the first encoding output of the CSF information, where the entropy coding transforms the first encoding output to a second encoding output associated with a second dimensional space that is smaller than the first dimensional space of the first encoding output. The operations of1515may be performed in accordance with examples as disclosed herein. In some examples, aspects of the operations of1515may be performed by an entropy coding manager830as described with reference toFIG.8.

At1520, the method may include transmitting a CSF message including the second encoding output. The operations of1520may be performed in accordance with examples as disclosed herein. In some examples, aspects of the operations of1520may be performed by a CSF transmission manager835as described with reference toFIG.8.

FIG.16shows a flowchart illustrating a method1600that supports techniques for encoding and decoding a channel between wireless communication devices in accordance with aspects of the present disclosure. The operations of the method1600may be implemented by a network device or its components as described herein. For example, the operations of the method1600may be performed by a network device as described with reference toFIGS.1through5and10through13. In some examples, a network device may execute a set of instructions to control the functional elements of the network device to perform the described functions. Additionally, or alternatively, the network device may perform aspects of the described functions using special-purpose hardware.

At1605, the method may include receiving a CSF message including compressed CSF information associated with a first dimensional space. The operations of1605may be performed in accordance with examples as disclosed herein. In some examples, aspects of the operations of1605may be performed by a CSF reception component1225as described with reference toFIG.12.

At1610, the method may include applying entropy decoding to the compressed CSF information to partially decompress the compressed CSF information to a first decoding output associated with a second dimensional space, where the second dimensional space is larger than the first dimensional space. The operations of1610may be performed in accordance with examples as disclosed herein. In some examples, aspects of the operations of1610may be performed by an entropy decoding component1230as described with reference toFIG.12.

At1615, the method may include decoding the first decoding output to completely decompress the compressed CSF information to a second decoding output associated with a third dimensional space, the third dimensional space larger than the second dimensional space of the first decoding output. The operations of1615may be performed in accordance with examples as disclosed herein. In some examples, aspects of the operations of1615may be performed by a CSF decoding component1235as described with reference toFIG.12.

FIG.17shows a flowchart illustrating a method1700that supports techniques for encoding and decoding a channel between wireless communication devices in accordance with aspects of the present disclosure. The operations of the method1700may be implemented by a network device or its components as described herein. For example, the operations of the method1700may be performed by a network device as described with reference toFIGS.1through5and10through13. In some examples, a network device may execute a set of instructions to control the functional elements of the network device to perform the described functions. Additionally, or alternatively, the network device may perform aspects of the described functions using special-purpose hardware.

At1705, the method may include transmitting an indication of an entropy coding technique for a UE, which may be a machine learning or non-machine learning based method, to apply to an output of an encoder of the UE. The operations of1705may be performed in accordance with examples as disclosed herein. In some examples, aspects of the operations of1705may be performed by an entropy coding indication component1245as described with reference toFIG.12.

At1710, the method may include receiving a CSF message including compressed CSF information associated with a first dimensional space. The operations of1710may be performed in accordance with examples as disclosed herein. In some examples, aspects of the operations of1710may be performed by a CSF reception component1225as described with reference toFIG.12.

At1715, the method may include applying entropy decoding to the compressed CSF information to partially decompress the compressed CSF information to a first decoding output associated with a second dimensional space, where the second dimensional space is larger than the first dimensional space. The operations of1715may be performed in accordance with examples as disclosed herein. In some examples, aspects of the operations of1715may be performed by an entropy decoding component1230as described with reference toFIG.12.

At1720, the method may include decoding the first decoding output to completely decompress the compressed CSF information to a second decoding output associated with a third dimensional space, the third dimensional space larger than the second dimensional space of the first decoding output. The operations of1720may be performed in accordance with examples as disclosed herein. In some examples, aspects of the operations of1720may be performed by a CSF decoding component1235as described with reference toFIG.12.

The following provides an overview of aspects of the present disclosure:

Aspect 1: A method for wireless communications at a UE, comprising: encoding channel state feedback information associated with the UE to compress the channel state feedback information to a first encoding output associated with a first dimensional space; applying entropy coding to the first encoding output of the channel state feedback information, wherein the entropy coding transforms the first encoding output to a second encoding output associated with a second dimensional space that is smaller than the first dimensional space of the first encoding output; and transmitting a channel state feedback message comprising the second encoding output.

Aspect 2: The method of aspect 1, further comprising: receiving an indication of a size of the first dimensional space, wherein the UE encodes the channel state feedback information based at least in part on the indication.

Aspect 3: The method of any of aspects 1 through 2, further comprising: receiving an indication of a size of the second dimensional space, wherein the UE applies the entropy coding to the first encoding output based at least in part on the indication.

Aspect 4: The method of any of aspects 1 through 3, further comprising: receiving an indication of an entropy coding technique, wherein the UE applies the entropy coding to the first encoding output based at least in part on the indication.

Aspect 5: The method of aspect 4, wherein the entropy coding technique is a machine-learning based technique, the machine-learning based technique comprises training a set of one or more parameters with a dataset associated with the set of one or more parameters.

Aspect 6: The method of aspect 5, wherein the entropy coding technique is trained together with an encoder of the UE and a universal decoder of a network device.

Aspect 7: The method of any of aspects 5 through 6, wherein the entropy coding technique is trained separately from an encoder of the UE, a universal decoder of a network device, or both.

Aspect 8: The method of any of aspects 1 through 7, wherein the UE is configured with one or more encoders for encoding the channel state feedback information, the one or more encoders each configured to be compatible with a universal decoder at a network device.

Aspect 9: The method of aspect 8, wherein each encoder of the one or more encoders is implemented by a neural network that utilizes machine-learning to compress the channel state feedback information to the first encoding output.

Aspect 10: The method of any of aspects 8 through 9, wherein each of the one or more encoders is associated with a different channel model, or corresponds to a different set of antenna ports, or corresponds to a different set of antenna panels, or a combination thereof.

Aspect 11: The method of any of aspects 1 through 10, further comprising: transmitting, to a network device, an indication of an index associated with the UE for the network device to use in decoding the channel state feedback message.

Aspect 12: The method of any of aspects 1 through 11, further comprising: transmitting, to a network device, an indication of a context vector for the network device to use in decoding the channel state feedback message, the context vector associated with one or more parameters of the UE.

Aspect 13: The method of any of aspects 1 through 12, wherein each point of the first dimensional space, the second dimensional space, or a combination thereof, maps to the channel state feedback information in a dimensional space larger than the first dimensional space.

Aspect 14: The method of any of aspects 1 through 13, further comprising: estimating a channel between the UE and a network device, wherein the channel state feedback information is based at least on part on estimating the channel.

Aspect 15: A method for wireless communications at a network device, comprising: receiving a channel state feedback message comprising compressed channel state feedback information associated with a first dimensional space; applying entropy decoding to the compressed channel state feedback information to partially decompress the compressed channel state feedback information to a first decoding output associated with a second dimensional space, wherein the second dimensional space is larger than the first dimensional space; and decoding the first decoding output to completely decompress the compressed channel state feedback information to a second decoding output associated with a third dimensional space, the third dimensional space larger than the second dimensional space of the first decoding output.

Aspect 16: The method of aspect 15, further comprising: transmitting an indication of a dimensional size of an output of an encoder of a UE.

Aspect 17: The method of any of aspects 15 through 16, further comprising: transmitting an indication of a dimensional size of an output of an entropy coding procedure to be performed by a UE, wherein the first dimensional space of the compressed channel state feedback information received by the network device is based at least in part on the dimensional size.

Aspect 18: The method of any of aspects 15 through 17, further comprising: transmitting an indication of an entropy coding technique for a UE to apply to an output of an encoder of the UE.

Aspect 19: The method of aspect 18, wherein the entropy coding technique is a machine-learning based technique, the machine-learning based technique comprises training a set of one or more parameters with a dataset associated with the set of one or more parameters.

Aspect 20: The method of aspect 19, wherein the entropy coding technique is trained together with the encoder of the UE and a universal decoder of the network device.

Aspect 21: The method of any of aspects 19 through 20, wherein the entropy coding technique is trained separately from the encoder of the UE, a universal decoder of the network device, or both.

Aspect 22: The method of any of aspects 15 through 21, wherein the network device is configured with a universal decoder for decoding channel state feedback information output from different encoders, the universal decoder compatible with each of the different encoders.

Aspect 23: The method of aspect 22, wherein the universal decoder is trained based at least in part on one or more defined inputs and one or more defined outputs for the universal decoder.

Aspect 24: The method of any of aspects 22 through 23, wherein the universal decoder is configured based at least in part on one or more parameters defined for the universal decoder.

Aspect 25: The method of any of aspects 22 through 24, wherein the universal decoder is implemented by a neural network that utilizes machine-learning to decompress the compressed channel state feedback information to the second decoding output.

Aspect 26: The method of any of aspects 15 through 25, wherein decoding the first decoding output further comprises: decoding the first decoding output by concatenating the first decoding output with an index associated with a UE.

Aspect 27: The method of aspect 26, further comprising: receiving an indication of the index associated with the UE for the network device to use in decoding the first decoding output.

Aspect 28: The method of any of aspects 26 through 27, further comprising: identifying the index associated with the UE for the network device to use in decoding the first decoding output, wherein identifying the index is based at least in part on a set of one or more resources over which the channel state feedback message is received by the network device.

Aspect 29: The method of any of aspects 15 through 28, wherein decoding the first decoding output further comprises: decoding the first decoding output by concatenating the first decoding output with a context vector, the context vector associated with one or more parameters of a UE.

Aspect 30: The method of aspect 29, further comprising: receiving an indication of the context vector for the network device to use in decoding the channel state feedback message.

Aspect 31: The method of any of aspects 15 through 30, wherein each point of the first dimensional space, the second dimensional space, or a combination thereof maps to the second decoding output of the third dimensional space.

Aspect 32: An apparatus for wireless communications at a UE, comprising a processor; memory coupled with the processor; and instructions stored in the memory and executable by the processor to cause the apparatus to perform a method of any of aspects 1 through 14.

Aspect 33: An apparatus for wireless communications at a UE, comprising at least one means for performing a method of any of aspects 1 through 14.

Aspect 34: A non-transitory computer-readable medium storing code for wireless communications at a UE, the code comprising instructions executable by a processor to perform a method of any of aspects 1 through 14.

Aspect 35: An apparatus for wireless communications at a network device, comprising a processor; memory coupled with the processor; and instructions stored in the memory and executable by the processor to cause the apparatus to perform a method of any of aspects 15 through 31.

Aspect 36: An apparatus for wireless communications at a network device, comprising at least one means for performing a method of any of aspects 15 through 31.

Aspect 37: A non-transitory computer-readable medium storing code for wireless communications at a network device, the code comprising instructions executable by a processor to perform a method of any of aspects 15 through 31.

It should be noted that the methods described herein describe possible implementations, and that the operations and the steps may be rearranged or otherwise modified and that other implementations are possible. Further, aspects from two or more of the methods may be combined.

Although aspects of an LTE, LTE-A, LTE-A Pro, or NR system may be described for purposes of example, and LTE, LTE-A, LTE-A Pro, or NR terminology may be used in much of the description, the techniques described herein are applicable beyond LTE, LTE-A, LTE-A Pro, or NR networks. For example, the described techniques may be applicable to various other wireless communications systems such as Ultra Mobile Broadband (UMB), Institute of Electrical and Electronics Engineers (IEEE) 802.11 (Wi-Fi), IEEE 802.16 (WiMAX), IEEE 802.20, Flash-OFDM, as well as other systems and radio technologies not explicitly mentioned herein.

Information and signals described herein may be represented using any of a variety of different technologies and techniques. For example, data, instructions, commands, information, signals, bits, symbols, and chips that may be referenced throughout the description may be represented by voltages, currents, electromagnetic waves, magnetic fields or particles, optical fields or particles, or any combination thereof.

The various illustrative blocks and components described in connection with the disclosure herein may be implemented or performed with a general-purpose processor, a DSP, an ASIC, a CPU, an FPGA or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general-purpose processor may be a microprocessor, but in the alternative, the processor may be any processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices (e.g., a combination of a DSP and a microprocessor, multiple microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration).

The functions described herein may be implemented in hardware, software executed by a processor, firmware, or any combination thereof. If implemented in software executed by a processor, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Other examples and implementations are within the scope of the disclosure and appended claims. For example, due to the nature of software, functions described herein may be implemented using software executed by a processor, hardware, firmware, hardwiring, or combinations of any of these. Features implementing functions may also be physically located at various positions, including being distributed such that portions of functions are implemented at different physical locations.

Computer-readable media includes both non-transitory computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A non-transitory storage medium may be any available medium that may be accessed by a general-purpose or special-purpose computer. By way of example, and not limitation, non-transitory computer-readable media may include RAM, ROM, electrically erasable programmable ROM (EEPROM), flash memory, compact disk (CD) ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other non-transitory medium that may be used to carry or store desired program code means in the form of instructions or data structures and that may be accessed by a general-purpose or special-purpose computer, or a general-purpose or special-purpose processor. Also, any connection is properly termed a computer-readable medium. For example, if the software is transmitted from a website, server, or other remote source using a coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL), or wireless technologies such as infrared, radio, and microwave, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of computer-readable medium. Disk and disc, as used herein, include CD, laser disc, optical disc, digital versatile disc (DVD), floppy disk and Blu-ray disc where disks usually reproduce data magnetically, while discs reproduce data optically with lasers. Combinations of the above are also included within the scope of computer-readable media.

As used herein, including in the claims, “or” as used in a list of items (e.g., a list of items prefaced by a phrase such as “at least one of” or “one or more of”) indicates an inclusive list such that, for example, a list of at least one of A, B, or C means A or B or C or AB or AC or BC or ABC (i.e., A and B and C). Also, as used herein, the phrase “based on” shall not be construed as a reference to a closed set of conditions. For example, an example step that is described as “based on condition A” may be based on both a condition A and a condition B without departing from the scope of the present disclosure. In other words, as used herein, the phrase “based on” shall be construed in the same manner as the phrase “based at least in part on.”

The term “determine” or “determining” encompasses a wide variety of actions and, therefore, “determining” can include calculating, computing, processing, deriving, investigating, looking up (such as via looking up in a table, a database or another data structure), ascertaining and the like. Also, “determining” can include receiving (such as receiving information), accessing (such as accessing data in a memory) and the like. Also, “determining” can include resolving, selecting, choosing, establishing and other such similar actions.

In the appended figures, similar components or features may have the same reference label. Further, various components of the same type may be distinguished by following the reference label by a dash and a second label that distinguishes among the similar components. If just the first reference label is used in the specification, the description is applicable to any one of the similar components having the same first reference label irrespective of the second reference label, or other subsequent reference label.

The description set forth herein, in connection with the appended drawings, describes example configurations and does not represent all the examples that may be implemented or that are within the scope of the claims. The term “example” used herein means “serving as an example, instance, or illustration,” and not “preferred” or “advantageous over other examples.” The detailed description includes specific details for the purpose of providing an understanding of the described techniques. These techniques, however, may be practiced without these specific details. In some instances, known structures and devices are shown in block diagram form in order to avoid obscuring the concepts of the described examples.

The description herein is provided to enable a person having ordinary skill in the art to make or use the disclosure. Various modifications to the disclosure will be apparent to a person having ordinary skill in the art, and the generic principles defined herein may be applied to other variations without departing from the scope of the disclosure. Thus, the disclosure is not limited to the examples and designs described herein but is to be accorded the broadest scope consistent with the principles and novel features disclosed herein.