Radio MAC scheduling based on front-haul transport capacity constraints

In certain embodiments, a 5G RAN network has a distributed unit (DU) connected to at least one remote unit (RU) via a transport network (TN) that handles both mobile front-haul (MFH) traffic between the DU and the RUs as well as non-MFH traffic with other end users. A radio scheduler in the DU is configured to perform medium access control (MAC) scheduling for the mobile user traffic, while a TN scheduler in the transport network is configured perform TN scheduling for both the MFH and non-MFH traffic. The TN scheduler is configured to transmit information (e.g., MFH data-rate limits) to the radio scheduler that the radio scheduler uses to perform its subsequent MAC scheduling.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims priority to European Patent Application No. 19206866.6, filed on Nov. 4, 2019, the disclosure of which is incorporated herein in its entirety by reference.

BACKGROUND

Field of the Disclosure

The present disclosure relates to wireless communication networks and, more specifically but not exclusively, to radio medium access control (MAC) scheduling in central radio access networks (C-RAN).

Description of the Related Art

As demand grows for greater volumes of wireless data, the underlying infrastructure needs to be able to meet that demand.

DETAILED DESCRIPTION

Detailed illustrative embodiments of the present disclosure are disclosed herein. However, specific structural and functional details disclosed herein are merely representative for purposes of describing example embodiments of the present disclosure. The present disclosure may be embodied in many alternate forms and should not be construed as limited to only the embodiments set forth herein. Further, the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments of the disclosure.

FIG. 1is a block diagram of a communication network100based on the 5G Radio Access Network (5G RAN) architecture according to certain embodiments of the present disclosure. As shown inFIG. 1, the 5G RAN network100comprises a 5G core110connected via back-haul link115to the central unit (CU)122of a 5G base station120(also known as a baseband unit or Next Generation Node B (gNB)), which also includes the distributed unit (DU)124, which may be co-located with and in communication with the CU122via link123(e.g., an F1 interface of the 3gpp standard). The DU124is connected via link125to the transport node132of a transport network (TN)130, which also includes one or more mobile front-haul (MFH) TN end points136and one or more non-MFH TN end points138, where each TN end point136/138is connected to the transport node132via a link135.

Each MFH TN end point136is connected via a corresponding link137to a 5G remote unit (RU, also known as a radio unit or remote radio head)150that communicates via wireless link(s)151with one or more user equipment (UE) devices160, such as mobile phones and the like. As used herein, the descriptions and solutions related to UE scheduling can also be applied similarly to dedicated radio bearer (DRB) scheduling. Similarly, each non-MFH TN end point138is connected via a corresponding link139to provide non-MFH services (e.g., enterprise or residential broadband services) to one or more particular end users152. As known to those skilled in the art, the CU122, the DU124, and the RUs150are part of a central radio access network (C-RAN) having the transport network130. As represented inFIG. 1, the transport network130may also have one or more hybrid TN end points140that handle both traffic with one or more 5G RUs150as well as traffic for one or more non-MFH services. The TN scheduler133takes these two subsets of traffic into account when performing TN scheduling.

The DU124has a radio scheduler126that performs medium access control (MAC) scheduling for the 5G UE traffic over the air interface. In particular, the radio scheduler126schedules the 5G UE uplink (UL, i.e., upstream) traffic transmitted by the UEs160over the wireless links151towards the RUs150as well as the 5G UE downlink (DL, i.e., downstream) traffic transmitted by the RUs150over the wireless links151to the UEs160.

Similarly, the transport node132has a TN scheduler133that performs scheduling for the TN UL and DL traffic handled by the transport network130. In particular, the TN scheduler133schedules the MFH-related TN UL traffic transmitted from the MFH TN end points136to the transport node132as well as the non-MFH-related TN UL traffic transmitted from the non-MFH TN end points138to the transport node132. In addition, the TN scheduler133schedules the MFH-related TN DL traffic transmitted from the transport node132to the MFH TN end points136as well as the non-MFH-related TN DL traffic transmitted from the transport node to the non-MFH TN end points138.

As described further below, the transport network130may be a TDM-PON (time-division multiplexed, passive optical network), an Ethernet network, or other suitable type of transport network.

In certain implementations, depending on speed and distance, links115,125,135,137, and139are all bidirectional optical or electrical links that carry packetized data. In other implementations, one or more of those links may be wired or wireless links.

In the embodiment ofFIG. 1, the CU122and the DU124are co-located within the 5G base station120. In other embodiments, the CU122and DU124are not co-located. For example, the DU124can be remotely located from the CU122, in which case the CU122and the DU124are connected via a suitable (optical, wired, or wireless) mid-haul link.

FIG. 2is a diagram representing the sequences of data processing steps for the 5G downlink and uplink signals in the 5G RAN network100ofFIG. 1. In general, the responsibility for performing these different steps may be shared between the DU124and the RUs150.FIG. 2represent one possible split referred to as the 7-2× lower-layer split with the DU124in the 5G base station120performing the upper steps above the beamforming step ofFIG. 2, and the 5G RUs150performing the lower steps ofFIG. 2. Those skilled in the art will understand that the 7-2× split is just one possible distribution of the data processing steps between these different 5G nodes and that the location of the split will depend on the use case or specific deployment. In some implementations, the location of the split may vary over time as a function of the current operating conditions. In theory, the split may occur at different locations for the uplink and downlink processing. Splitting the data processing sequences balances the competing goals of (i) reducing transmission bandwidth through the transport network130on the one hand and (ii) sharing processing load between different 5G nodes to have computational resource-pooling gains on the other hand.

A split-processing architecture such as one shown inFIG. 2leads to statistical traffic profiles for the digitized radio signals sent through the transport network130between the RUs150and the 5G base station120depending on the user-traffic statistics and channel conditions. As such, in certain implementations, the transport network130is implemented using a transport technology that employs statistical multiplexing over a shared medium, such as TDM-PON transport technology or Ethernet transport technology. Such split-processing architectures are promoted in the industry with specifications such as IEEE 1914.1, eCPRI group, and the ORAN consortium. Note that it is also possible to use (e.g., fiber or WDM (wavelength-division multiplex) based) point-to-point connections in other implementations.

In general, lower-layer processing splits, such as the 7-2× split ofFIG. 2, and higher-layer processing splits will have different transport requirements in terms of data rate and latency as well as different benefits or advantages for centralized processing. Lower-layer splits are good candidates for implementation, leaving significantly lower processing requirements at the antenna sites, thereby reducing the costs of the RUs150. However, this split option requires a low-latency transport network130which becomes challenging for statistical multiplexing technologies (e.g., TDM-PON or Ethernet) since they can be congested in certain scenarios of oversubscription and hence incur additional delay and packet losses, which is difficult for conventional C-RAN networks to control.

These congestions may be due to unexpected, i.e., not provisioned, offered mobile traffic. This may happen for different reasons in a statistically multiplexed network. For instance, assume that the 5G RAN network100was provisioned based on a certain offered traffic profile, with some degree of “overbooking” (e.g., to have a guaranteed supported traffic equal to 99% of the cumulative distribution function (CDF) of the traffic). If the non-MFH services subscribed to the network100are not fully using their shares of the allocated bandwidth, then some amount of unexpected MFH traffic can still be handled by the transport network130. However, if all of the non-MFH services are fully using their shares, then the shared transport network130will not be able to handle unexpected offered MFH traffic that exceeds the agreed Service Level Agreements (SLAs).

Conventional radio schedulers are agnostic of the C-RAN architectures and assume a perfect transport network (lossless with guaranteed latency and no jitter) between the RU and the DU/CU. In contrast to the Common Public Radio Interface (CPRI) standard, as C-RAN architectures evolve with split-processing base stations, the traffic between the RU and DU/CU becomes statistical depending on the cell load (due to low-layer/high-layer split options).

In this context, transport networks with statistical multiplexing technologies (e.g., TDM-PON, Ethernet) can be used to support cell densification cost effectively. However, shared statistical multiplexing transport networks can lead to uncontrolled delay or packet loss in certain high-congestion scenarios. If there is no feedback about transport network conditions to the radio scheduler, then the radio scheduler is not able to adapt scheduling decisions to guarantee flow quality of service (QoS) in terms of latency/reliability or bit rate. In this case, the overall radio system performance may suffer along with certain services that are sensitive to delays and packet loss (e.g., ultra-reliable low-latency communication (URLLC)).

The present disclosure describes mechanisms to provide feedback about transport network conditions to the radio scheduler and to adapt radio scheduler decisions based on the feedback from the transport network to preserve QoS, where needed and possible. In particular, with respect to the 5G RAN communication network100ofFIG. 1, some coordination between the radio scheduler126and the transport network scheduler133via the Cooperative Transport Interface (CTI) AV can improve system performance. Note that, in some implementations, the DU124may provide some or all of the feedback received from the TN scheduler133to the CU122via the interface123.

Using the CTI interface AV, the radio scheduler126requests a certain data rate on behalf of each RU150. This data rate is equivalent to the estimated or predicted MFH traffic demand from the RU150in the future depending on the RU load. The transport network130is shared between MFH services and non-MFH services. As such, MFH services are restricted to a fair share (depending on their SLAs). Without the knowledge of the current constraints of the transport network130, the decisions of the radio scheduler126may generate traffic beyond the front-haul capacity of the transport network130, which can lead to excessive delay and/or packet loss, ultimately causing performance issues for the 5G RAN communication network100.

With the diffusion of radio systems operating in unlicensed spectrum, a large amount of offered mobile traffic may need to be dealt with. Therefore, it is safe to assume that such traffic will be treated with the same priority as enterprise or residential broadband services. Moreover, in scenarios where the transport network130is shared between MFH and non-MFH services, these services' owners will negotiate TN costs and SLAs. As a result, the MFH services may be limited in priority after its SLAs are already satisfied. In particular, the TN scheduler133will likely provision the MFH services to have their TN share based on some traffic statistics profile.

The present disclosure proposes the following:Mechanisms to provide feedback to the radio scheduler126from the TN scheduler133with respect to the characteristics, resource availability, and/or constraints of the transport network130; andAdaptation to radio MAC scheduling for split-processing RAN architectures that use statistical multiplexing transport technologies (e.g., TDM-PON, Ethernet) for front-haul traffic. This enables better preservation of end-to-end (E2E) QoS for the latency-critical and high-priority flows, offloading performance degradation to best-effort/low-priority flows.

The following discussion describes embodiments employing the TDM-PON transport technology, but similar techniques would be possible for other transport technologies using statistical multiplexing with dynamic bandwidth (or other resource) allocation, such as (without limitation) Ethernet transport technology. TDM-PON is a low-cost and resource-efficient transport technology based on statistical multiplexing of traffic over a single TDM wavelength channel. TDM-PON is currently used for residential or business broadband access. A goal of this disclosure is to use TDM-PON for the radio front-haul traffic to support cell densification using small cells.

FIG. 3is a block diagram of an instance300of the 5G RAN communication network100ofFIG. 1in which the transport network130ofFIG. 1is implemented as a TDM-PON transport network330in which:The transport node132ofFIG. 1is an optical line terminal (OLT)332;The transport network scheduler133ofFIG. 1is a TN scheduler333that performs dynamic bandwidth allocation;Each end point136/138ofFIG. 1is an optical network unit (ONU)336/338; andThe links135ofFIG. 1are optical links335.
As shown inFIG. 3, the TDM-PON330also has an optical splitter/combiner334that splits the downlink optical signal from the OLT332and combines the uplink optical signals from the ONUs336and338. All other elements of the 5G RAN network300ofFIG. 3are analogous to the similarly labeled elements of the 5G RAN network100ofFIG. 1. As represented inFIG. 3, the TDM-PON transport network330may also have one or more hybrid TN ONUs340that handle both traffic with one or more 5G RUs350as well as traffic for one or more non-MFH services. The TN scheduler333takes these two subsets of traffic into account when performing TN scheduling.

According to certain embodiments of the disclosure, the radio scheduler326ofFIG. 3bases scheduling decisions on different information, such as, for example, the following conventional information:UE ranks, link-adaptation decisions (based on SINR (signal-to-interference-plus-noise ratio) estimates and CQI (Channel Quality Indicator) reports);UE previous allocation history (e.g., average data rates in proportional fair scheduling);UE buffer status (e.g., whether the UEs have data to transmit); andUE (/DRB (dedicated radio bearer)) and/or slice QoS information, which can be derived from 5QI (5G QoS Indicators), but also consider other proprietary signals.
In addition, the scheduling decisions of the radio scheduler326are also based on front-haul transport network status or load-limit information received from the TN scheduler333. Service prioritization on the radio scheduler326is based on the knowledge of the above information to fit within radio resource limitations or constraints.

The MAC scheduling decisions of the radio scheduler326are translated into required front-haul data rates based on resource utilization of each cell and communicated to the TN scheduler333using specific control messages via the CTI interface329. One such example is the use of Cooperative-Dynamic Bandwidth Allocation (Co-DBA) messaging from the radio scheduler326to the OLT TN scheduler333in the case of PON transport networks as taught by T. Tashiro, S. Kuwano, J. Terada, T. Kawamura, N. Tanaka, S. Shigematsu, and N. Yoshimoto, “A Novel DBA Scheme for TDM-PON based Mobile Fronthaul,” in Optical Fiber Communication Conference, OSA Technical Digest (online) (Optical Society of America, 2014), paper Tu3F.3, the teachings of which are incorporated herein by reference in their entirety. However, that Co-DBA messaging is a one-way communication from a conventional radio scheduler to a conventional TN scheduler, and there is no feedback from the transport network about the provisioning of this required data rate. As such, in the case of oversubscription, the transport network will delay and/or drop radio data, thereby adversely affecting end-to-end services.

The present disclosure proposes a mechanism to convey information about the characteristics and/or status of the front-haul transport network330to the radio scheduler326and for the radio scheduler326to use that information in performing radio MAC scheduling.

FIG. 4illustrates the main components and working principles of certain embodiments of this disclosure. The OLT TN scheduler333operates/allocates TN resources in the data-rate (DR) (or bps (bits per second)) dimension. The data rate of the TDM-PON transport network330can be translated into a “load” in the context of the radio scheduler326, depending on the type of signals transported between the DU324and the RUs350, which in turn depends on the particular type of split processing implemented within the 5G RAN network300.

During a configuration phase, the radio scheduler326initially asks for an allocation of certain data rate from the OLT332, which can support an equivalent uplink/downlink load. During the subsequent operational phase, if the TN scheduler333detects the need to change the default DR allocation/current DR allocation of the front-haul services, for example, due to a potential/current congestion situation, then the TN scheduler333transmits, via the CTI interface329to the radio scheduler326, a new maximum data rate sustainable by the transport network330and its overall condition. This data rate is translated into a maximum supported load for the radio scheduler326. The radio scheduler326updates its parameters and implements a radio scheduler strategy that can consider load conditions and transport bandwidth availability for real-time scheduling decisions.

The information conveyed via the CTI interface329can be periodic or on-demand through properly designed signaling. This information can be enhanced by other feedback information, e.g., the transport network delay, jitter, packet drops for front-haul traffic flows. This information can be used by non-real-time processing at the DU324and/or the CU322to react on transport-layer status, e.g., making some Radio Admission Control decisions for some QoS flows.

Referring toFIG. 4, time flows from top to bottom with the TN scheduler333transmitting, via the CTI interface329to the radio scheduler326during the configuration phase, data rate limits for use in scheduling the initial uplink and downlink loads to be transmitted through the transport network330, and the radio scheduler326transmitting, via the CTI interface329to the TN scheduler333, an acknowledgement (ACK) message indicating receipt of that information. During the operational phase, either periodically or as needed (depending on the particular implementation), the TN scheduler333transmits current data rate limits to the radio scheduler326for use in scheduling subsequent uplink and downlink loads. Note that, depending on the implementation, the TN scheduler333may transmit a single data rate limit for both uplink and downlink traffic or independent data rate limits for uplink traffic and for downlink traffic with those limits updated at the same time or at different times. Note further that, in some implementations. Note further that, in other implementations, instead of transmitting explicit data rate limits, the TN scheduler333transmits to the radio scheduler326some other form of bandwidth-related information indicating that there is insufficient bandwidth for transmitting the MFH traffic through the transport network330.

FIG. 5is a flow diagram of processing performed by the radio scheduler326(steps502-514) and the TN scheduler333(steps516-520) ofFIG. 3according to certain embodiments of the disclosure. In certain implementations, the processing shown inFIG. 5is executed independently and in parallel for both the uplink and the downlink traffic. In other implementations, the processing ofFIG. 5is implemented for both the uplink and downlink traffic in a single aggregated algorithm. The following description refers to an independent execution for the uplink traffic. An analogous execution would apply for the downlink traffic.

In particular, for uplink traffic, the radio scheduler326executes steps502-514to perform MAC scheduling for the mobile UL traffic from the UEs360, while the TN scheduler333executes steps516-520to perform scheduling for both the MFH UL traffic and the non-MFH UL traffic handled by the transport network330.

Referring first to the steps executed by the radio scheduler326, step502refers to the provision of conventional inputs to the MAC scheduling performed by a prior-art radio scheduler (listed previously), while step504refers to the translation of data-rate information received via the CTI interface329from the TN scheduler333. As described further below, the TN scheduler333transmits an UL data-rate limit for the radio scheduler326to use as a constraint in scheduling the MFH UL traffic. In step506, the radio scheduler326reads the inputs from steps502and504.

In step508, the radio scheduler326determines whether the data-rate limit received from the TN scheduler333warrants the performance of a non-conventional MAC scheduling algorithm. In some implementations, in step508, the radio scheduler326compares the received data-rate limit to a specified data-rate threshold (based on the configuration of the RU(s) resources scheduled by the radio scheduler326, the limitations given by the standardized modulation-coding schemes and/or the quantization of the complex symbols to be sent/received by the RUs). If the radio scheduler326determines that the received data-rate limit is greater than the specified data-rate threshold, then the radio scheduler326performs conventional (i.e., MFH-agnostic) MAC scheduling in step510. If, however, the radio scheduler326determines that the received data-rate limit is less than the specified data-rate threshold, then the radio scheduler326performs non-conventional (i.e., MFH-aware) MAC scheduling in step512. Different versions of the non-conventional MAC scheduling of step512are described further below. Note that, in alternative implementations, the radio scheduler326always performs the non-conventional MAC scheduling. In that case, steps508and510may be eliminated fromFIG. 5.

As part of either the conventional MAC scheduling of step510or the non-conventional MAC scheduling of step512, the radio scheduler326generates in step514an estimate of the transport network data rate required to support the upcoming MFH UL traffic through the transport network330and transmits that MFH UL DR estimate to the TN scheduler333, after which processing returns to step506.

Referring now to the steps executed by the TN scheduler333, step516refers to the provision of the estimated MFH UL data rate received from the radio scheduler326, while step518refers to the conventional provision of an estimate of the data rate required to support the upcoming non-MFH UL traffic through the transport network330. In step520, the TN scheduler333reads the inputs from steps516and FI.

In step522, the TN scheduler333performs conventional TN scheduling, such as, for example, priority plus fair scheduling, for the upcoming MFH and non-MFH UL traffic through the transport network330. During this TN scheduling, the TN scheduler333will determine the data rate allocated for the upcoming MFH UL traffic.

In step524, the TN scheduler333determines whether to transmit a data-rate limit to the radio scheduler326. In some implementations where the TN scheduler333periodically transmits DR limits, the TN scheduler333transmits the current MFH UL DR estimate as a DR UL limit to the radio scheduler326whenever the TN scheduler333determines that it is time to do so. In other implementations where the TN scheduler333transmits DR limits only when needed, the TN scheduler333compares the current MFH UL DR estimate to the previous MFH UL DR limit transmitted to the radio scheduler326to determine whether that MFH UL DR limit needs to be updated. In particular, the TN scheduler333will determine that the MFH UL DR limit will need to be updated when the current MFH UL DR estimate differs from the previous MFH UL DR limit by more than a specified magnitude threshold. If so, then, in step526, the TN scheduler333transmits the current MFH UL DR estimate to the radio scheduler326as the new MFH UL DR limit.

Whether or not step526is performed, according to conventional steps528and520, the TN scheduler333updates the DR allocation in step528for the current dynamic bandwidth allocation (DBA) cycle until the TN scheduler333determines in step520that the current DBA cycle has been completed, at which point processing returns to step520.

In the processing ofFIG. 5, the TN scheduler333monitors conditions that require limiting of the MFH data rate compared to what is requested by the radio scheduler326. This is done using a snapshot of the DR requests of MFH and non-MFH services and considering their respective SLAs. In a non-limited scenario, the TN scheduler333can allocate the requested MFH DR. However, depending on the service mix (e.g., enterprise or residential broadband, mobile back-haul, etc.) on the transport network330and their traffic statistics, the TN scheduler333may have to limit the MFH DR and provide a feedback to the radio scheduler326. The cooperative signaling function328at the DU324translates the DR limit into a load limit that is understood by the radio scheduler326depending on what signals are transported between the DU324and the RUs350. This load limit is then considered by the radio scheduler326in its MAC scheduling decisions. Depending on the MAC scheduling decisions of the radio scheduler326, the cooperative signaling function328can translate these decisions into an equivalent MFH DR request to be sent to the TN scheduler333via the CTI interface329.

For non-MFH applications, the TN scheduler333runs a DBA procedure periodically to calculate the TN DR allocations to different non-MFH services based on their usage of previous allocations and demands based on buffer reports. These non-MFH DR allocations stay the same for the duration of the DBA cycle and are updated every DBA cycle duration (typically a few milliseconds, e.g., 8 ms).

For MFH applications, the TN DR allocations for MFH services need to change ideally at the rate at which the radio scheduler326grants changes so that there is exact allocation for each MFH service and hence no buffering at the MFH ONUs336. In the case of the LTE (Long-Term Evolution) standard, this rate is 1 ms due to its scheduling granularity such that the radio scheduler326will transmit CTI DR request messages every 1 ms to the TN scheduler333. The TN scheduler333will allocate the exact DRs requested by the MFH services at the same time granularity (i.e., 1 ms) as long as the total DR is within the overall limit of the DR allocated to the MFH services in that DBA cycle.

In the transport network330, where MFH and non-MFH services are multiplexed on the same TDM-PON, the DBA for MFH services can operate at the frequency of the radio scheduler326(equivalently the CTI DR message frequency of every 1 ms, in the case of the LTE standard) and update the DR allocations for MFH services. However, the DBA for non-MFH services can still operate at the frequency of the DBA cycle duration (for example, 8 ms). Therefore, during the DBA computation of the non-MFH services, it is possible for the TN scheduler333to detect that there is a need to limit MFH services to a certain data rate so that the non-MFH services can fulfill their SLAs. This limitation will be applicable until the end of the current DBA cycle, at the end of which, the non-MFH DBA can assign a new non-MFH DR limit. Since this information is available at the start of the DBA cycle, the TN scheduler333can communicated the information to the radio scheduler326to limit the MAC DR requests and perform scheduling accordingly. The DBA for non-MFH services can also make longer-term predictions (few 100s of ms) or estimations on the DR requirements of the non-MFH services and update the DR limits for MFH services more infrequently.

This procedure does not cause any issues for downlink mobile operations, since the radio scheduler326makes its decisions just before the DL mobile resources allocation. However, for LTE specifications, uplink scheduling decisions are made 4 ms before the actual UL transmission is to occur. This can lead to mismatches in the current supported UL DR by the MFH and the scheduled UL transmissions. Embodiments of the present disclosure avoid degraded UL and DL transmissions when the OLT332is congested by designing proper procedures for the few UL slots when a change in the MFH UL DR limit has occurred.

FIG. 6presents an example timeline of the processing by the radio scheduler326and the TN scheduler333ofFIG. 3for UL transmissions, where time flows from left to right. In this example, every 1 ms, the radio scheduler326transmits CTI messages with DR requests corresponding to MFH UL transmissions happening 4 ms in the future. Therefore, at the start of every non-MFH DBA cycle, there are already 4 MAC-scheduled MFH DR requests in the OLT DBA engine that still need to be fulfilled by the TN scheduler333. However, if the TN scheduler333allocates more DR to non-MFH services to meet their SLAs, then the TN scheduler333may have to change the limit on the MFH DR for future allocations as soon as the DBA cycle allocation is made. This affects partially the current DBA cycle (e.g., the remaining 4 ms of the DBA cycle).

In particular, at time t′, a set of MFH UL data transmissions occur that were previously scheduled by the radio scheduler326using an existing MFH UL DR limit. At that time t′, the radio scheduler326transmits (arrow602) the MFH UL DR estimate for those transmissions to the TN scheduler333. At time t (i.e., the start of a new non-MFH DBA cycle), the TN scheduler333schedules the MFH and non-MFH UL transmissions from the ONUs336and338and transmits (arrow604) updated bandwidth (BW) maps to the ONUs336and338. In addition, at time t, the TN scheduler333determines that the existing MFH UL DR limit at the radio scheduler326needs to be updated, and the TN scheduler333transmits (arrow606) an updated MFH UL DR limit to the radio scheduler326.

The radio scheduler326starts using that updated MFH UL DR limit right away, but since the radio scheduler326schedules MFH UL transmission 4 ms in advance, there are already four MFH UL transmissions scheduled using the previous MFH UL DR limit. As such, at times t′+1, t′+2, t′+3, and t′+4, four more MFH UL transmissions occur that were already scheduled by the radio scheduler326using the previous MFH UL DR limit. In addition, at times t+1 through t+7, the TN scheduler333updates the BW maps for the MFH ONUs336, but not for the non-MFH ONUs338since the DBA scheduling cycle occurs every 8 ms.

Eventually (i.e., starting at time t′+5), MFH UL transmissions start to occur that were scheduled by the radio scheduler starting at time t′+1 using the updated MFH UL DR limit. The current non-MFH DBA cycles ends at time t+7, and the next non-MFH DBA cycle begins at time t+8, where another updated MFH UL DR limit may be needed.

Depending on how the load conditions are defined, three different non-conventional approaches for signaling and scheduling can be considered. The approach could be selected/set during the initialization of the 5G RAN network300ofFIG. 3, when the CU322, the DU324, and the RUs350are linked and initialized.

Depending on the DU-RU processing split, different types of information are conveyed through the transport network330corresponding to different possible “load” limits involved in the MAC scheduling operations of the radio scheduler326. Three of the different possible types of information are quantized complex symbols, encoded bits, and information bits.

When the DU-RU processing split occurs just below the beamforming steps ofFIG. 2such that forward and inverse fast Fourier transforms (FFT and iFFT) are performed at the RUs350, and all of the upper steps inFIG. 2are performed at the DU CG, quantized complex symbols are transmitted through the transport network330. In that case, it is sufficient for the radio scheduler326to have a limitation in the maximum number (Max_PRBs) of physical resource blocks (PRBs) (Max_PRBs) that the radio scheduler326can schedule for each transmission time interval (TTI). In some implementations, this number can be substituted by (i) the maximum number (Max_SymRate) of time-frequency symbols that can be transmitted in a certain time window (Time Window) or (ii) the maximum bandwidth (Max_AllocatedBandwidth) that the radio scheduler326can allocate. The TN data rate limit can be translated by the DU324into a maximum number of PRBs of maximum allocated bandwidth, taking into account subcarrier spacing and slot duration. Therefore, the limit on the signal can be just a data-rate itself.

When the DU-RU processing split occurs just above the modulation/demodulation steps ofFIG. 2, such that the RUs350perform those modulation/demodulation steps and all of the lower steps inFIG. 2, and the DU324performs all of the upper steps inFIG. 2, encoded bits are transmitted through the transport network330in the downlink direction and log-likelihood ratio (LLR) values for the encoded bits are transmitted through the TN network330in the uplink direction. In that case, the transport network330could impose a limit on the radio scheduler326for (i) the number (Max_GrossTP) of scheduled encoded “gross” throughput or (ii) the number (Max_EncodedBits) of encoded bits to be transmitted in a given time window (TimeWindow). These limits can be better derived internally by the DU324, which knows its internal parameters, once the transport network330shares its data-rate limit.

When all of the processing steps below the MAC steps ofFIG. 2are performed at the RUs350, information bits are transmitted through the transport network330. In that case, the transport network330could impose a limit on the radio scheduler326for (i) the net throughput (Max_NetTP) or (ii) the maximum number (Max_InformationBits) of information bits to be transmitted in a given time window (TimeWindow).

The radio scheduler326can control the offered “load” to the transport network330using the DR limits received from the TN scheduler333. In general, the radio scheduler326executes a MAC scheduling algorithm that operates as follows to allocate time-frequency resources to its active UEs360:a) The UEs360are sorted/prioritized in some way, keeping into account some of the following criteria:Previous allocations;The required QoS of each UE360;The actual channel (or its estimate) that influences link adaptation and modulation and coding scheme (MCS) choice, chosen MCS rate, hybrid automatic repeat request (HARQ) status, beam selection and precoding, etc.b) Resources are allocated to the first UE360that is output by the sorting/prioritization procedure. Note that, in frequency-selective scheduling, there can be different sorting procedures for different resource elements (REs).c) Some UE limitations can be considered, such as one or more of minimum or maximum number of REs per allocated UE or the UE buffer condition/packet size.
Known scheduling approaches, like Round Robin, Weighted Round Robin, Proportional Fair, Alpha-Fair, Maximum TP, Hard and Soft Token-based mechanisms, and all other metric-based scheduling, fall under this generic description. This formulation enables unique ways to modify existing scheduling procedures to consider the TN load limit, depending on the particular type of TN load.

When the transport network330conveys quantized complex symbols for every time-frequency slot, in case of TN congestions, the network300can properly react if the radio scheduler326adopts a different behavior than the previous solutions. In particular, the above point c) should be substituted by the following sentence:c) Some UE limitations can be considered, such as one or more of minimum or maximum number of REs per allocated UE, the UE buffer condition/packet size, maximum total number of PRBs per time slot, maximum number of time-frequency symbols in a pre-defined time window, or maximum allocated bandwidth.
More practically, the MAC scheduling procedure will allocate PRBs or, more generally, resources as was done before, until the scheduling reaches the limit on one or more of the number of PRBs per time slot, the maximum number of time-frequency symbols in a pre-defined time window, or the maximum allocated bandwidth. In some implementations, only one of these candidates is used to terminate scheduling.

When the transport network330conveys encoded information (i.e., encoded bits in DL, LLRs of encoded bits in UL), in case of TN congestions, the network300can properly react if the radio scheduler326adopts a different behavior than the previous solutions. In particular, the above point c) should be substituted by the following sentence:c) Some UE limitations can be considered, such as one or more of minimum or maximum number of REs per allocated UE, the UE buffer condition/packet size, maximum encoded throughput, or maximum number of encoded bits to be transmitted/received in a certain configurable time window.
More practically, the modification is similar to the modification for quantized complex symbols, but with different “bit-rate throttling rules.” In some implementations, only one of these candidates is used to terminate scheduling.

When the transport network330conveys information bits, in case of TN congestions, the network300can properly react if the radio scheduler326adopts a different behavior than the previous solutions. In particular, the above point c) should be substituted by the following sentence:c) Some UE limitations can be considered, such as one or more of minimum or maximum number of REs per allocated UE, the UE buffer condition/packet size, maximum net throughput, or maximum number of information bits to be transmitted/received in a certain configurable time window.
In some implementations, only one of these candidates is used to terminate scheduling. Here, too, the modification is similar to the modifications for quantized complex symbols and encoded information, but with different “throttling rules.” In this case, an optional procedure can be triggered to increase the number of allocated PRBs/REs while conveying the same amount of information bits that constitutes the bottleneck. This procedure could allow a better reliability to be achieved by the network, since spreading the available power of a transmission over more frequency resources is typically beneficial. This is not done in normal operations, because of the tradeoff between reliability and spectral efficiency. However, in this case, the tradeoff is removed due to the limited amount of information that must be transmitted in a time slot/window.

One can obtain this increased reliability effect by applying one of the following methods, after the MAC scheduling procedure has been run by the radio scheduler326, meaning after link adaptation (LA) has already been performed. Thus, the MCS index MCSifor every allocated UE i∈U has already been chosen, and there are still some free PRBs or REs FP that can be allocated, where FP is the number of unallocated free PRBs or REs. Note that the possible MCS indexes are sorted from the lowest rate (MCS=1) to the highest rate, thus with descending reliability. The current resources allocated to a UE i∈U are UE Ri. Note that, if only a subset of users is to have increased reliability, then the set U can include only the users matching a certain “eligibility” requirement, e.g., on the QoS flag or slice flag.

The following is an example of the MCS step with prioritization for the MAC scheduling performed by the radio scheduler326.1. Remove from the allocated UE set U all UEs with MCS=1.2. Sort UEs in U based on sorting rule (either highest wideband scheduling metric, QoS flag, or other)3. Start with i=14. While (FP>0 && |U|>0)a. MCSi=MCSi−1b. Compute the new required resources Ri′ to allocate the UE i with the new MCS. If frequency-selective CSI is available, then find the PRB/RE candidates for this extended allocation and, if needed, modify the allocation of the other UEs.c. If Ri′−Ri>FPi. Revert MCS: change→MCSi=MCSi+1, keep old Riii. Remove i from Uiii. i=i−1d. Elsei. FP=FP−(Ri′−Ri)ii. Ri=Ri′iii. Confirm the new allocation, and discard the old onee. i=i+1,f. If i=|U|+1, then i=1

The following is an example of the MCS adaption with fair prioritization for the MAC scheduling performed by the radio scheduler326, where ρ(MCS) is the equivalent rate of MCS with index MCS, and TP is the total number of PRBs/REs that the radio scheduler326can allocate.1. Remove from the allocated UE set U all UEs with MCS=1.2. Sort UEs in U based on sorting rule (either highest wideband scheduling metric, QoS flag, or other)3. Start with i=14. While (FP>0 && |U|>0)a.

ρ⁢′=ρ⁡(M⁢C⁢Si)TPFPb. Find new

MCS′=supm⁢{m∈MCS|ρ′≥ρ⁡(m)},
where, in this case, the supremum function (sup) returns the index (m) of the highest-rate MCS that satisfies the reliability condition.c. Compute the new required resources Ri′ to allocate the UE i with the new MCS′. If frequency-selective CSI is available, then find the PRB/RE candidates for this extended allocation and, if needed, modify the allocation of the other UEs.d. If MCS′=MCSii. Remove i from Uii. i=i−1e. Elsei. FP=FP−(Ri′−Ri)ii. MCSi=MCS′iii. Ri=Ri′iv. Confirm the new allocation, and discard the old onef. i=i+1,g. If i=|U|+1, then i=1

As the example described inFIG. 6suggests, UL scheduling decisions are made some time (e.g., 4 ms) before the actual MFH transmission by the RUs350. Therefore, if there is a change in the load limit, then the radio scheduler326should know that for the remainder of the current 8-ms DBA cycle window. The limit to be adopted by the radio scheduler326may be different from the communicated limit from the TN scheduler333. In particular, the radio scheduler326considers the number (A) of MFH UL transmissions already allocated during the current DBA cycle and adjusts the remaining transmissions to achieve the specified limit for the entire DBA cycle, which has a total of B (e.g., 8) slots. The temporary load limit L′ used by the radio scheduler326for the remaining (B-A) slots of the DBA cycle is given by the following equation:

L′=[(B·Ln⁢e⁢w-∑i=1A⁢Si)B-A]+
where Lnewis the newly communicated load limit for each radio scheduler time slot, Siis the already scheduled load for the i-th time slot of the DBA cycle, and the square brackets with the plus sign means that the temporary load limit L′ is set to zero if the value inside the brackets is negative. Note that, at the start of the next DBA cycle, assuming that the load limit has not be updated again, the load limit for each time slot will be Lnew. In alternative implementations, instead of the DBA cycle, the radio scheduler326scales the temporary load limit L′ for the remaining time slots in a different specified time period, which may be explicitly communicated from the TN scheduler333to the radio scheduler326.

FIG. 7is a block diagram of an instance700of the 5G RAN communication network100ofFIG. 1in which the transport network130ofFIG. 1is implemented as an Ethernet transport network730in which the TN scheduler733performs dynamic bandwidth allocation for a network of Ethernet switches734,736, and738interconnected by links735, where the MFH Ethernet switches736correspond to the MFH end points136ofFIG. 1and the non-MFH Ethernet switches738correspond to the non-MFH end points138ofFIG. 1. All other elements of the 5G RAN network700ofFIG. 7are analogous to the similarly labeled elements of the 5G RAN network100ofFIG. 1.

Although embodiments of this disclosure have been described in the context of 5G RAN networks, other embodiments of the disclosure may be in the context of other suitable types of existing radio access networks with simplified radio or split-processing architecture such as (without limitation) 4G LTE with split-processing eNB architecture, WiFi, WiMax, Bluetooth, etc. or future radio access networks.

Some embodiments of the disclosure are apparatus for a radio access network (RAN), the apparatus comprising a distributed unit (DU); a transport network (TN); and at least one remote unit (RU) connected to the DU via the transport network and configured to communicate via wireless communications traffic with one or more user equipment (UE) or dedicated radio bearer (DRB) devices. The DU comprises a radio scheduler configured to perform medium access control (MAC) scheduling for the wireless communications traffic. The transport network is configured to handle TN traffic comprising both (i) mobile front haul (MFH) traffic corresponding to the wireless communications traffic and (ii) non-MFH traffic corresponding to other traffic. The transport network comprises a TN scheduler configured to schedule the TN traffic. The TN scheduler is configured to transmit bandwidth-related information regarding the TN traffic to the radio scheduler. The radio scheduler is configured to perform subsequent MAC scheduling based on the bandwidth-related information received from the TN scheduler.

In some of the above embodiments, the radio scheduler is configured to determine an MFH data rate estimate for the MFH traffic between the DU and the at least one RU; the TN scheduler is configured to schedule the MFH traffic and non-MFH traffic based on (i) the MFH data rate estimate received from the radio scheduler and (ii) a non-MFH data rate estimate; the TN scheduler is configured to determine whether to transmit a current MFH data rate limit to the radio scheduler and, if so, transmit the current MFH data rate limit to the radio scheduler; and the radio scheduler is configured to perform the subsequent MAC scheduling based on the current MFH data rate limit received from the TN scheduler.

In some or all of the above embodiments, the radio scheduler is configured to perform MFH-aware MAC scheduling based on the current MFH data rate limit.

In some or all of the above embodiments, the radio scheduler is configured to perform MFH-agnostic MAC scheduling, if the radio scheduler determines that the current MFH data rate limit is more than a specified MFH data rate threshold; and the radio scheduler is configured to perform the MFH-aware MAC scheduling, if the radio scheduler determines that the current MFH data rate limit is less than the specified MFH data rate threshold.

In some or all of the above embodiments, the MFH-aware MAC scheduling depends on one or more of (a) whether the TN is configured to transport quantized complex symbols, in which case, the MFH-aware MAC scheduling is configured to take into account one or more of (i) a specified maximum total number of process resource blocks (PRBs) per time slot, (ii) a specified maximum number of time-frequency symbols in a pre-defined time window, (iii) and a specified maximum allocated bandwidth; (b) whether the TN is configured to transport encoded bits, in which case, the MFH-aware MAC scheduling is configured to take into account one or more of (i) a specified maximum encoded throughput and (ii) a specified maximum number of encoded bits to be transmitted/received in a certain configurable time window; and (c) whether the TN is configured to transport information bits, in which case, the MFH-aware MAC scheduling is configured to take into account one or more of (i) a specified maximum net throughput and (ii) a specified maximum number of information bits to be transmitted/received in a certain configurable time window.

In some or all of the above embodiments, the radio scheduler is configured to scale the current MFH data rate limit based on a number of remaining MFH time slots in a specified time period to achieve a desired average MFH data rate for the specified time period.

In some or all of the above embodiments, the transport network is configured to employ a statistical multiplexing technique to transport data.

In some or all of the above embodiments, the transport network is configured to employ either time-division multiplexed, passive optical network (TDM-PON) transport technology or Ethernet transport technology.

In some or all of the above embodiments, the radio scheduler is configured to perform MAC scheduling for UE and DRB uplink traffic that is independent of MAC scheduling for UE and DRB downlink traffic.

In some or all of the above embodiments, the bandwidth-related information comprises combined bandwidth-related information for both uplink TN traffic and downlink TN traffic.

In some or all of the above embodiments, the bandwidth-related information comprises independent bandwidth-related information for the uplink TN traffic and independent bandwidth-related information for the downlink TN traffic.

In some or all of the above embodiments, the DU is configured to transmit at least some of the bandwidth-related information to a central unit CU of the RAN.

Some embodiments of the disclosure are a distributed unit for a radio access network further comprising (i) a transport network and (ii) at least one remote unit connected to the DU via the transport network and configured to communicate via wireless communications traffic with one or more user equipment or dedicated radio bearer devices. The DU comprises a radio scheduler configured to perform medium access control MAC scheduling for the wireless communications traffic. The transport network is configured to handle TN traffic comprising both (i) MFH traffic corresponding to the wireless communications traffic and (ii) non-MFH traffic corresponding to other traffic. The transport network comprises a TN scheduler configured to schedule the TN traffic. The TN scheduler is configured to transmit bandwidth-related information regarding the TN traffic to the radio scheduler. The radio scheduler is configured to perform subsequent MAC scheduling based on the bandwidth-related information received from the TN scheduler.

Some embodiments of the disclosure are a TN scheduler for a transport network for a radio access network further comprising (i) a distributed unit and (ii) at least one remote unit connected to the DU via the transport network and configured to communicate via wireless communications traffic with one or more user equipment or dedicated radio bearer devices. The DU comprises a radio scheduler configured to perform medium access control scheduling for the wireless communications traffic. The transport network is configured to handle TN traffic comprising both (i) MFH traffic corresponding to the wireless communications traffic and (ii) non-MFH traffic corresponding to other traffic. The TN scheduler is configured to schedule the TN traffic. The TN scheduler is configured to transmit bandwidth-related information regarding the TN traffic to the radio scheduler. The radio scheduler is configured to perform subsequent MAC scheduling based on the bandwidth-related information received from the TN scheduler.

Some embodiments of the disclosure are a method for handling traffic in a radio access network comprising (i) a distributed unit, (ii) a transport network, and (iii) at least one remote unit connected to the DU via the transport network and configured to communicate via wireless communications traffic with one or more user equipment or dedicated radio bearer devices. The DU comprises a radio scheduler that performs medium access control MAC scheduling for the wireless communications traffic. The transport network handles TN traffic comprising both (i) MFH traffic corresponding to the wireless communications traffic and (ii) non-MFH traffic corresponding to other traffic. The transport network comprises a TN scheduler that schedules the TN traffic. The TN scheduler transmits bandwidth-related information regarding the TN traffic to the radio scheduler. The radio scheduler performs subsequent MAC scheduling based on the bandwidth-related information received from the TN scheduler.

Signals and corresponding terminals, nodes, ports, or paths may be referred to by the same name and are interchangeable for purposes here.

Embodiments of the disclosure can be manifest in the form of methods and apparatuses for practicing those methods. Embodiments of the disclosure can also be manifest in the form of program code embodied in tangible media, such as magnetic recording media, optical recording media, solid state memory, floppy diskettes, CD-ROMs, hard drives, or any other non-transitory machine-readable storage medium, wherein, when the program code is loaded into and executed by a machine, such as a computer, the machine becomes an apparatus for practicing the disclosure. Embodiments of the disclosure can also be manifest in the form of program code, for example, stored in a non-transitory machine-readable storage medium including being loaded into and/or executed by a machine, wherein, when the program code is loaded into and executed by a machine, such as a computer, the machine becomes an apparatus for practicing the disclosure. When implemented on a general-purpose processor, the program code segments combine with the processor to provide a unique device that operates analogously to specific logic circuits.

Any suitable processor-usable/readable or computer-usable/readable storage medium may be utilized. The storage medium may be (without limitation) an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device. A more-specific, non-exhaustive list of possible storage media include a magnetic tape, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM) or Flash memory, a portable compact disc read-only memory (CD-ROM), an optical storage device, and a magnetic storage device. Note that the storage medium could even be paper or another suitable medium upon which the program is printed, since the program can be electronically captured via, for instance, optical scanning of the printing, then compiled, interpreted, or otherwise processed in a suitable manner including but not limited to optical character recognition, if necessary, and then stored in a processor or computer memory. In the context of this disclosure, a suitable storage medium may be any medium that can contain or store a program for use by or in connection with an instruction execution system, apparatus, or device.

It will be further understood that various changes in the details, materials, and arrangements of the parts which have been described and illustrated in order to explain embodiments of this disclosure may be made by those skilled in the art without departing from embodiments of the disclosure encompassed by the following claims.

All documents mentioned herein are hereby incorporated by reference in their entirety or alternatively to provide the disclosure for which they were specifically relied upon.

As used herein and in the claims, the term “provide” with respect to an apparatus or with respect to a system, device, or component encompasses designing or fabricating the apparatus, system, device, or component; causing the apparatus, system, device, or component to be designed or fabricated; and/or obtaining the apparatus, system, device, or component by purchase, lease, rental, or other contractual arrangement.

Unless otherwise specified herein, the use of the ordinal adjectives “first,” “second,” “third,” etc., to refer to an object of a plurality of like objects merely indicates that different instances of such like objects are being referred to, and is not intended to imply that the like objects so referred-to have to be in a corresponding order or sequence, either temporally, spatially, in ranking, or in any other manner.