Patent Publication Number: US-2023163815-A1

Title: Facilitation of incremental feedback for 5g or other next generation network

Description:
RELATED APPLICATIONS 
     The subject patent application is a continuation of, and claims priority to each of, U.S. patent application Ser. No. 17/101,741, filed Nov. 23, 2020, and entitled “FACILITATION OF INCREMENTAL FEEDBACK FOR 5G OR OTHER NEXT GENERATION NETWORK,” which is a continuation of U.S. patent application Ser. No. 15/588,324 (now U.S. Pat. No. 10,924,162), filed May 5, 2017, and entitled “FACILITATION OF INCREMENTAL FEEDBACK FOR 5G OR OTHER NEXT GENERATION NETWORK,” the entirety of which applications are hereby incorporated by reference herein. 
    
    
     TECHNICAL FIELD 
     This disclosure relates generally to facilitating of spatial domain incremental feedback. For example, this disclosure relates to facilitating spatial domain incremental multiple-input multiple-output (MIMI) channel state information (CSI) feedback for a 5G, or other next generation network, air interface. 
     BACKGROUND 
     5th generation (5G) wireless systems represent a next major phase of mobile telecommunications standards beyond the current telecommunications standards of 4th generation (4G). Rather than faster peak Internet connection speeds, 5G planning aims at higher capacity than current 4G, allowing higher number of mobile broadband users per area unit, and allowing consumption of higher or unlimited data quantities. This would enable a large portion of the population to stream high-definition media many hours per day with their mobile devices, when out of reach of wireless fidelity hotspots. 5G research and development also aims at improved support of machine-to-machine communication, also known as the Internet of things, aiming at lower cost, lower battery consumption and lower latency than 4G equipment. 
     The above-described background relating to a non-orthogonal design is merely intended to provide a contextual overview of some current issues, and is not intended to be exhaustive. Other contextual information may become further apparent upon review of the following detailed description. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
       Non-limiting and non-exhaustive embodiments of the subject disclosure are described with reference to the following figures, wherein like reference numerals refer to like parts throughout the various views unless otherwise specified. 
         FIG.  1    illustrates an example wireless communication system in which a network node and user equipment (UE) can implement various aspects and embodiments of the subject disclosure. 
         FIG.  2    illustrates a message sequence chart between a network node and UE in an LTE network. 
         FIG.  3    illustrates a message sequence chart between a network node and UE sending incremental channel state information in an LTE network. 
         FIG.  4    illustrates an example schematic system graph for rank layer versus frequency according to one or more embodiments. 
         FIG.  5    illustrates an example schematic system block diagram of a method for incremental channel state data reporting. 
         FIG.  6    illustrates an example schematic system block diagram of a method for incremental channel state data reporting and selecting a resource bandwidth. 
         FIG.  7    illustrates an example schematic system block diagram of system for assigning a resource to a mobile device based on incremental channel state data. 
         FIG.  8    illustrates an example schematic system block diagram of a machine-readable medium for allocating a network resource. 
         FIG.  9    illustrates an example block diagram of an example mobile handset operable to engage in a system architecture that facilitates secure wireless communication according to one or more embodiments described herein. 
         FIG.  10    illustrates an example block diagram of an example computer operable to engage in a system architecture that facilitates secure wireless communication according to one or more embodiments described herein. 
     
    
    
     DETAILED DESCRIPTION 
     In the following description, numerous specific details are set forth to provide a thorough understanding of various embodiments. One skilled in the relevant art will recognize, however, that the techniques described herein can be practiced without one or more of the specific details, or with other methods, components, materials, etc. In other instances, well-known structures, materials, or operations are not shown or described in detail to avoid obscuring certain aspects. 
     Reference throughout this specification to “one embodiment,” or “an embodiment,” means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment. Thus, the appearances of the phrase “in one embodiment,” “in one aspect,” or “in an embodiment,” in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. 
     As utilized herein, terms “component,” “system,” “interface,” and the like are intended to refer to a computer-related entity, hardware, software (e.g., in execution), and/or firmware. For example, a component can be a processor, a process running on a processor, an object, an executable, a program, a storage device, and/or a computer. By way of illustration, an application running on a server and the server can be a component. One or more components can reside within a process, and a component can be localized on one computer and/or distributed between two or more computers. 
     Further, these components can execute from various machine-readable media having various data structures stored thereon. The components can communicate via local and/or remote processes such as in accordance with a signal having one or more data packets (e.g., data from one component interacting with another component in a local system, distributed system, and/or across a network, e.g., the Internet, a local area network, a wide area network, etc. with other systems via the signal). 
     As another example, a component can be an apparatus with specific functionality provided by mechanical parts operated by electric or electronic circuitry; the electric or electronic circuitry can be operated by a software application or a firmware application executed by one or more processors; the one or more processors can be internal or external to the apparatus and can execute at least a part of the software or firmware application. As yet another example, a component can be an apparatus that provides specific functionality through electronic components without mechanical parts; the electronic components can include one or more processors therein to execute software and/or firmware that confer(s), at least in part, the functionality of the electronic components. In an aspect, a component can emulate an electronic component via a virtual machine, e.g., within a cloud computing system. 
     The words “exemplary” and/or “demonstrative” are used herein to mean serving as an example, instance, or illustration. For the avoidance of doubt, the subject matter disclosed herein is not limited by such examples. In addition, any aspect or design described herein as “exemplary” and/or “demonstrative” is not necessarily to be construed as preferred or advantageous over other aspects or designs, nor is it meant to preclude equivalent exemplary structures and techniques known to those of ordinary skill in the art. Furthermore, to the extent that the terms “includes,” “has,” “contains,” and other similar words are used in either the detailed description or the claims, such terms are intended to be inclusive—in a manner similar to the term “comprising” as an open transition word—without precluding any additional or other elements. 
     As used herein, the term “infer” or “inference” refers generally to the process of reasoning about, or inferring states of, the system, environment, user, and/or intent from a set of observations as captured via events and/or data. Captured data and events can include user data, device data, environment data, data from sensors, sensor data, application data, implicit data, explicit data, etc. Inference can be employed to identify a specific context or action, or can generate a probability distribution over states of interest based on a consideration of data and events, for example. 
     Inference can also refer to techniques employed for composing higher-level events from a set of events and/or data. Such inference results in the construction of new events or actions from a set of observed events and/or stored event data, whether the events are correlated in close temporal proximity, and whether the events and data come from one or several event and data sources. Various classification schemes and/or systems (e.g., support vector machines, neural networks, expert systems, Bayesian belief networks, fuzzy logic, and data fusion engines) can be employed in connection with performing automatic and/or inferred action in connection with the disclosed subject matter. 
     In addition, the disclosed subject matter can be implemented as a method, apparatus, or article of manufacture using standard programming and/or engineering techniques to produce software, firmware, hardware, or any combination thereof to control a computer to implement the disclosed subject matter. The term “article of manufacture” as used herein is intended to encompass a computer program accessible from any computer-readable device, machine-readable device, computer-readable carrier, computer-readable media, or machine-readable media. For example, computer-readable media can include, but are not limited to, a magnetic storage device, e.g., hard disk; floppy disk; magnetic strip(s); an optical disk (e.g., compact disk (CD), a digital video disc (DVD), a Blu-ray Disc™ (BD)); a smart card; a flash memory device (e.g., card, stick, key drive); and/or a virtual device that emulates a storage device and/or any of the above computer-readable media. 
     As an overview, various embodiments are described herein to facilitate incremental feedback for channel state information for a 5G air interface or other next generation networks. For simplicity of explanation, the methods (or algorithms) are depicted and described as a series of acts. It is to be understood and appreciated that the various embodiments are not limited by the acts illustrated and/or by the order of acts. For example, acts can occur in various orders and/or concurrently, and with other acts not presented or described herein. Furthermore, not all illustrated acts may be required to implement the methods. In addition, the methods could alternatively be represented as a series of interrelated states via a state diagram or events. Additionally, the methods described hereafter are capable of being stored on an article of manufacture (e.g., a machine-readable storage medium) to facilitate transporting and transferring such methodologies to computers. The term article of manufacture, as used herein, is intended to encompass a computer program accessible from any computer-readable device, carrier, or media, including a non-transitory machine-readable storage medium. 
     It should be noted that although various aspects and embodiments have been described herein in the context of 5G, Universal Mobile Telecommunications System (UMTS), and/or Long Term Evolution (LTE), or other next generation networks, the disclosed aspects are not limited to 5G, a UMTS implementation, and/or an LTE implementation as the techniques can also be applied in 3G, 4G or LTE systems. For example, aspects or features of the disclosed embodiments can be exploited in substantially any wireless communication technology. Such wireless communication technologies can include UMTS, Code Division Multiple Access (CDMA), Wi-Fi, Worldwide Interoperability for Microwave Access (WiMAX), General Packet Radio Service (GPRS), Enhanced GPRS, Third Generation Partnership Project (3GPP), LTE, Third Generation Partnership Project 2 (3GPP2) Ultra Mobile Broadband (UMB), High Speed Packet Access (HSPA), Evolved High Speed Packet Access (HSPA+), High-Speed Downlink Packet Access (HSDPA), High-Speed Uplink Packet Access (HSUPA), Zigbee, or another IEEE 802.XX technology. Additionally, substantially all aspects disclosed herein can be exploited in legacy telecommunication technologies. 
     Described herein are systems, methods, articles of manufacture, and other embodiments or implementations that can facilitate incremental feedback for channel state information for a 5G network. Facilitating incremental feedback for a 5G network can be implemented in connection with any type of device with a connection to the communications network (e.g., a mobile handset, a computer, a handheld device, etc.) any Internet of things (IOT) device (e.g., toaster, coffee maker, blinds, music players, speakers, etc.), and/or any connected vehicles (cars, airplanes, space rockets, and/or other at least partially automated vehicles (e.g., drones)). In some embodiments the non-limiting term user equipment (UE) is used. It can refer to any type of wireless device that communicates with a radio network node in a cellular or mobile communication system. Examples of UE are target device, device to device (D2D) UE, machine type UE or UE capable of machine to machine (M2M) communication, PDA, Tablet, mobile terminals, smart phone, laptop embedded equipped (LEE), laptop mounted equipment (LME), USB dongles etc. Note that the terms element, elements and antenna ports can be interchangeably used but carry the same meaning in this disclosure. The embodiments are applicable to single carrier as well as to multicarrier (MC) or carrier aggregation (CA) operation of the UE. The term carrier aggregation (CA) is also called (e.g., interchangeably called) “multi-carrier system”, “multi-cell operation”, “multi-carrier operation”, “multi-carrier” transmission and/or reception. 
     In some embodiments the non-limiting term radio network node or simply network node is used. It can refer to any type of network node that serves UE is connected to other network nodes or network elements or any radio node from where UE receives a signal. Examples of radio network nodes are Node B, base station (BS), multi-standard radio (MSR) node such as MSR BS, eNode B, network controller, radio network controller (RNC), base station controller (BSC), relay, donor node controlling relay, base transceiver station (BTS), access point (AP), transmission points, transmission nodes, RRU, RRH, nodes in distributed antenna system (DAS) etc. 
     Cloud radio access networks (RAN) can enable the implementation of concepts such as software-defined network (SDN) and network function virtualization (NFV) in 5G networks. This disclosure can facilitate a generic channel state information framework design for a 5G network. Certain embodiments of this disclosure can comprise an SDN controller that can control routing of traffic within the network and between the network and traffic destinations. The SDN controller can be merged with the 5G network architecture to enable service deliveries via open application programming interfaces (“APIs”) and move the network core towards an all internet protocol (“IP”), cloud based, and software driven telecommunications network. The SDN controller can work with, or take the place of policy and charging rules function (“PCRF”) network elements so that policies such as quality of service and traffic management and routing can be synchronized and managed end to end. 
     To meet the huge demand for data centric applications, 4G standards can be applied to 5G, also called new radio (NR) access. 5G networks can comprise the following: data rates of several tens of megabits per second supported for tens of thousands of users; 1 gigabit per second can be offered simultaneously to tens of workers on the same office floor; several hundreds of thousands of simultaneous connections can be supported for massive sensor deployments; spectral efficiency can be enhanced compared to 4G; improved coverage; enhanced signaling efficiency; and reduced latency compared to LTE. In multicarrier systems such as OFDM, each subcarrier can occupy bandwidth (e.g., subcarrier spacing). If the carriers use the same bandwidth spacing, then it can be considered a single numerology. However, if the carriers occupy different bandwidth and/or spacing, then it can be considered a multiple numerology. 
     Downlink reference signals are predefined signals occupying specific resource elements within a downlink time-frequency grid. There are several types of downlink reference signals that can be transmitted in different ways and used for different purposes by a receiving terminal. Channel state information reference signals (CSI-RS) can be used by terminals to acquire channel-state information (CSI) and beam specific information (e.g., beam reference signal received power). In 5G, CSI-RS can be user equipment (UE) specific so it can have a significantly lower time/frequency density. Demodulation reference signals (DM-RS), also sometimes referred to as UE-specific reference signals, can be used by terminals for channel estimation of data channels. The label “UE-specific” relates to each demodulation reference signal being intended for channel estimation by a single terminal. The demodulation reference signal can then be transmitted within resource blocks assigned for data traffic channel transmission to that terminal. Other than the aforementioned reference signals, there are other reference signals, namely multi-cast broadcast single frequency network (MBSFN) and positioning reference signals that can be used for various purposes. 
     While LTE receivers have typically been single stage receivers, more advanced receivers (e.g., turbo equalizers) can become the model for a new radio (NR). This is due to advances in computational power and also because many physical layer design aspects for NR (NR is used herein to refer to the next generation radio interface for 5G) are different from LTE. For NR there may be a need to decode multiple spatial layers in the UL. As the number of MIMO streams increases, the benefits of advanced receivers can become more significant due to an increase in inter-stream interference. 
     MIMO systems can significantly increase the data carrying capacity of wireless systems. For these reasons, MIMO is an integral part of the 3rd and 4th generation wireless systems. 5G systems will also employ MIMO systems also called massive MIMO systems (hundreds of antennas at the transmitter side and/receiver side). Typically, with a (N t , N r ), where N t  denotes the number of transmit antennas and N r  denotes the receive antennas, the peak data rate multiplies with a factor of N t  over single antenna systems in rich scattering environment. 
     An uplink control channel can carry information about hybrid automatic repeat request acknowledgment (HARQ-ACK) corresponding to a downlink data transmission, and channel state information. The channel state information can comprise rank indicator (RI) data, channel quality indicator (CQI) data, and pre-coding matrix indicator (PMI) data. The PMI can be defined as an index within a codebook or the PMI as a pre-coder itself depending on the context. 
     The physical downlink control channel (PDCCH) can carry information about scheduling grants. Typically, this can comprise a number of multiple-input multiple-output (MIMO) layers scheduled, transport block sizes, modulation for each codeword, parameters related to HARQ, sub band locations, and also PMI data corresponding to the sub bands. It should be understood that all downlink control channel (DCI) formats may not transmit all the information. However, the contents of the PDCCH can depend on a transmission mode and the DCI format. 
     Within multi-codeword MIMO, the feedback channel (both downlink and uplink) overhead can be proportional to a transmission rank. For example, if the UE reported a rank is equal to 4, then the network needs to report 4 channel quality indicators. Similarly, the transmitter can transmit 4 transport block sizes, a modulation format, HARQ process numbers, redundancy versions, etc. Consequently, the feedback channel overhead is proportional to the transmission rank. To reduce the overhead, a codeword dimensioning principle can bundle the layers and support maximum two codewords. The codeword can be defined as an information block appended with a cyclic redundancy check (CRC). 
     LTE CSI feedback design was built on an assumption that the rank is a very slowly changing and wideband channel property. However, that is not necessarily true in mmWave system which normally has larger system bandwidth, and the LTE CSI feedback framework does not support a sub-band rank indicator. 
     This disclosure comprises an enhancement of LTE CSI feedback framework by allowing the UE to report multiple sets of CSI feedback, where each set can comprise a RI, a PMI, and a CQI. Since a different set may have a different sub-band, said framework can support the sub-band rank. Rank is defined as how many layers are transmitted at a particular sub-band. For example, the UE can report rank 1 for wideband, and report rank 2 only for some of the sub-bands. However, this also means double the overhead since the two CSI report sets have a lot in common. It should be noted that the CSI data can be permanent, predetermined, or generated in real-time based on wireless network conditions prior to the CSI data being received by the network node. For example, the rank indicator can be defined by the UE prior to it being sent to it being sent to the network node. 
     CSI data can assist the base station in tuning transmission parameters during MIMO transmissions. For instance, rank 1 means there is only one layer transmitting and rank 2 means there are 2 layers transmitting simultaneously. It should be noted that multiple layers (e.g., layer 3, layer 4, etc.) can also transmit simultaneously. The RI can communicate to the base station that the UE needs a channel with regards to a layer and how many layers the UE can support. The PMI determines the pre-coder of each layer, and the pre-coder determines the transmission parameter for each antenna including a phase and amplitude. The CQI can provide a quality metric. For instance, PMI data can relay that if the UE uses a specific channel, then this is the type of quality the UE will receive. Thus, if there is a high CQI, the system can select one channel versus selecting another channel in response to a low CQI. There are also dependencies between the three indicators. For example, the RI will determine the PMI and CQI formats. Thus, the PMI is dependent on RI, and the CQI is dependent on the PMI and the RI in a hierarchical type structure. 
     Due to the aforementioned dependencies, the rank is slow to change. For example, if the base station wants to use rank 2 for a first UE and then the base station wants to add a second UE and use rank 1, network quality will degrade because the CSI data is all following the rank 2 format, and it is difficult for the base station to override the current rank 2. However, network quality degradation can be mitigated if the UE reports the CSI data in an incremental format. The benefit of reporting the CSI data in an incremental format is that whenever the base station needs to override a rank, the base station will have the information already. 
     The incremental PMI is defined as the pre-coder of the second layer including the beam selection (W1) and/or co-phasing/co-efficient (W2) if a W1*W2 codebook structure is needed. During beam selection, feedback of the PMI can be broken into two parts: W1 and W2. W1 can be used to select the beam and W2 can be used to select co-phasing vectors and coefficients. Since normal PMI is an index of the codebook, then incremental PMI is an offset of the pre-coder index compared to the layer 1 PMI. Incremental CQI is a differential CQI as compared to the rank 1 CQI. The CQI can be a differential CQI, which considers the power sharing between two layers as well as cross-layer interference. 
     In one embodiment, described herein is a method comprising based on a first defined rank indicator associated with a first transmission layer, receiving, by a network device comprising a processor, channel state data from a wireless device of a wireless network. Based on a second defined rank indicator associated with a second transmission layer, the method can comprise receiving, by the network device, incremental channel state data, different from the channel state data, from the wireless device. Additionally, based on a portion of the channel state data not comprised in the incremental channel state data and the incremental channel state data, the method can comprise allocating, by the network device, a resource for the wireless device. 
     According to another embodiment, a system can facilitate, receiving, from a mobile device, first channel state data representative of a first channel state of a first layer of a wireless network associated with a first frequency range. The system can also facilitate receiving, from the mobile device, second channel state data, different than the first channel state data, representative of a second channel state of a second layer, different than the first layer, of the wireless network associated with a second frequency range. Based on at least a portion of the first channel state data and the second channel state data from the mobile device, the system can facilitate assigning a resource to the mobile device. 
     According to yet another embodiment, described herein is a machine-readable storage medium that can perform the operations comprising facilitating sending, by a mobile device to a network device, first rank data representative of a first rank associated with a first transmission layer of a wireless network. The machine-readable storage medium can also facilitate sending, by the mobile device to the network device, second rank data representative of a second rank associated with a second transmission layer of the wireless network, wherein the second rank data is incremental information to the first rank data. In response to the facilitating the sending of the first rank data and the second rank data, the machine-readable storage medium can facilitate receiving, by the mobile device from the network device, an allocation to use a network resource of the wireless network. 
     These and other embodiments or implementations are described in more detail below with reference to the drawings. 
       FIG.  1    illustrates an example wireless communication system  100  in accordance with various aspects and embodiments of the subject disclosure. In example embodiments, system  100  is or comprises a wireless communication network serviced by one or more wireless communication network providers. In example embodiments, system  100  can comprise one or more user equipment (UEs)  102  (e.g.,  102   1 ,  102   2  . . .  102   n ), which can comprise one or more antenna panels comprising vertical and horizontal elements. A UE  102  can be any user equipment device, such as a mobile phone, a smartphone, a cellular enabled laptop (e.g., comprising a broadband adapter), a tablet computer, a wearable device, a virtual reality (VR) device, a heads-up display (HUD) device, a smart car, a machine-type communication (MTC) device, and the like. UE  102  can also comprise IOT devices that can communicate wirelessly. UE  102  roughly corresponds to the mobile station (MS) in global system for mobile communications (GSM) systems. Thus, the network node  104  (e.g., network node device) can provide connectivity between the UE and the wider cellular network and can facilitate wireless communication between the UE and the wireless communication network (e.g., the one or more communication service provider networks  106 , described in more detail below) via a network node  104 . The UE  102  can send and/or receive communication data wirelessly to the network node  104 . The dashed arrow lines from the network node  104  to the UE  102  represent downlink (DL) communications and the solid arrow lines from the UE  102  to the network nodes  104  represent uplink (UL) communications. 
     The non-limiting term network node (e.g., network node device) can be used herein to refer to any type of network node serving a UE  102  and/or connected to other network nodes, network elements, or another network node from which the UE  102  can receive a radio signal. In typical cellular radio access networks (e.g., universal mobile telecommunications system (UMTS) networks), they can be referred to as base transceiver stations (BTS), radio base station, radio network nodes, base stations, NodeB, eNodeB (e.g., evolved NodeB), etc.). In 5G terminology, the node can be referred to as a gNodeB (e.g., gNB) device. Network nodes can also comprise multiple antennas for performing various transmission operations (e.g., MIMO operations). A network node can comprise a cabinet and other protected enclosures, an antenna mast, and actual antennas. Network nodes can serve several cells, also called sectors, depending on the configuration and type of antenna. Examples of network nodes (e.g., network node  104 ) can include but are not limited to: NodeB devices, base station (BS) devices, access point (AP) devices, and radio access network (RAN) devices. The network node  104  can also include multi-standard radio (MSR) radio node devices, comprising: an MSR BS, an eNode B, a network controller, a radio network controller (RNC), a base station controller (BSC), a relay, a donor node controlling relay, a base transceiver station (BTS), a transmission point, a transmission node, an RRU, an RRH, nodes in distributed antenna system (DAS), and the like. 
     System  100  can further comprise one or more communication service provider networks  106  that facilitate providing wireless communication services to various UEs, comprising UE  102 , via the network node  104  and/or various additional network devices (not shown) included in the one or more communication service provider networks  106 . The one or more communication service provider networks  106  can include various types of disparate networks, comprising: cellular networks, femto networks, picocell networks, microcell networks, internet protocol (IP) networks Wi-Fi service networks, broadband service network, enterprise networks, cloud based networks, and the like. For example, in at least one implementation, system  100  can be or can comprise a large scale wireless communication network that spans various geographic areas. According to this implementation, the one or more communication service provider networks  106  can be or can comprise the wireless communication network and/or various additional devices and components of the wireless communication network (e.g., additional network devices and cells, additional UEs, network server devices, etc.). The network node  104  can be connected to the one or more communication service provider networks  106  via one or more backhaul links  108 . For example, the one or more backhaul links  108  can comprise wired link components, such as a T1/E1 phone line, a digital subscriber line (DSL) (e.g., either synchronous or asynchronous), an asymmetric DSL (ADSL), an optical fiber backbone, a coaxial cable, and the like. The one or more backhaul links  108  can also include wireless link components, such as but not limited to, line-of-sight (LOS) or non-LOS links which can include terrestrial air-interfaces or deep space links (e.g., satellite communication links for navigation). 
     In one technique, the UE  102  can send a reference signal back to the network node  104 . The network node  104  takes a received reference signal from the UE  102 , estimates the condition of the channel, which can be influenced by various factors, such as objects in the line of sight, weather, movement, interference, etc., and after correcting for more issues (e.g., interference), adjusts the beamforming rates for each antenna transmitting to the UE  102 , and changes parameters, so as to transmit a better beam toward the UE  102 . This ability to select MIMO schemes and use beamforming to focus energy and adapt to changing channel conditions can allow for higher data rates. 
       FIG.  2    depicts a message sequence chart  200  for downlink data transfer in 5G systems. A user equipment (e.g., UE  102 ) can determine transmission parameters from evaluating a reference signal from a network node (e.g., network node  104 ), estimate the channel characteristics, and send CSI feedback back to the network node. The network node  104  can transmit reference signals to the UE  102 . The network node  102  can transmit a reference signal (RS) at transaction (1), which can be beam formed or non-beam formed, to UE  102 . The reference signals can be cell specific and/or user equipment  102  specific in relation to a profile of the user equipment  102  or some type of mobile identifier. After receiving this reference signal, at block  202 , the UE  102  can evaluate the reference signal and compute the CSI, which can be transmitted to the network node as CSI feedback (e.g., a CSI report). The CSI feedback can comprise: an indicator of channel quality (e.g., channel quality indicator (CQI) in LTE terminology), a pre-coding matrix indicator (PMI in LTE terminology), an indicator of the rank (e.g., Rank Indicator (RI) in LTE terminology), sub-band indices, beam indices, a CSI-resource indicator (e.g., CRI the same as beam indicator), etc. The PMI can be used for selection of transmission parameters for the different data streams transmitted between the network node and the UE (e.g., the indicator of CSI can be similar to what is referred to in LTE as the pre-coding matrix indicator PMI and can be used in a similar manner). 
     In techniques using codebook-based pre-coding, the network node and UE uses different codebooks, which can be found in standards specifications, each of which relate to different types of MIMO matrices (for example, a codebook of pre-coding matrices for 2×2 MIMO). The codebook is known (contained) at the base station and the UE site, and can contain entries of pre-coding vectors and matrices, which are multiplied with the signal in the pre-coding stage of the network node. The decision as to which of these codebook entries to select is made at the network node based on CSI feedback provided by the UE, because the CSI is known at the receiver, but not at the transmitter. Based on the evaluation of the reference signal, the UE transmits feedback at transaction (2) (e.g., via a feedback channel, which can be separate from the channel the reference signal was sent on), which comprises recommendations for a suitable pre-coding matrix out of the appropriate codebook. This UE feedback identifying the pre-coding matrix is called the pre-coding matrix indicator (PMI), wherein the UE is pointing to one of these codebook entries. The UE is thus evaluating which pre-coding matrix would be more suitable for the transmissions between the network node and UE. 
     Also included in the CSI feedback is the rank indicator (RI) which provides an indication of the rank of the channel matrix, wherein the rank is the number of different transmission data streams (layers) transmitted in parallel (in other words, the number of spatial layers) between the network node and the UE. The RI determines the format of the rest of the CSI reporting messages. As an example, in the case of LTE, when RI is reported to be 1, the rank 1 codebook PMI will be transmitted with one CQI, and when RI is 2, a rank 2 codebook PMI and two CQIs will be transmitted. 
     The user equipment  102  can transmit the CSI report to the network node  104  via the feedback channel either on request from the network node  104 , a-periodically, and/or periodically. Processing of the CSI feedback by the network node  104 , as shown in block  204  of  FIG.  2   , can comprise decoding the CSI feedback. The UE can decode the RI and then use the decoded information (for example, the obtained size of the CSI) to decode the remainder of the CSI (e.g., the CQI, PMI, etc.). A network scheduler can leverage the CSI report to determine downlink transmission scheduling parameters at block  204 , which are particular to the user equipment  102 . The scheduling parameters can comprise modulation and coding schemes (MCS), power, physical resource blocks (PRBs), etc.  FIG.  2    depicts the physical layer signaling where the density change can be reported for the physical layer signaling or as a part of the radio resource control (RRC) signaling. In the physical layer, the density can be adjusted by the network node  104  and then sent over to the user equipment  102  as a part of the downlink control channel data. The network node  104  can transmit the parameters at transaction (3) to the UE  102  via a downlink control channel. Thereafter and/or simultaneously, at transaction (4), traffic data can be transferred, via a data traffic (e.g., non-control data such as data related to texts, emails, pictures, audio files videos, etc.) channel, from the network node  104  to the UE  102 . 
     Referring now to  FIG.  3   , illustrated is a message sequence chart  300  between a network node and UE sending incremental channel state information in an LTE network. A user equipment (e.g., UE  102 ) can determine transmission parameters from evaluating a reference signal from a network node (e.g., network node  104 ), estimate the channel characteristics, and send CSI feedback back to the network node. The network node  104  can transmit reference signals to the UE  102 . The network node  102  can transmit a reference signal (RS) at transaction (1), which can be beam formed or non-beam formed, to UE  102 . The reference signals can be cell specific and/or user equipment  102  specific in relation to a profile of the user equipment  102  or some type of mobile identifier. After receiving this reference signal, at block  202 , the UE  102  can evaluate the reference signal and compute the CSI, which can be transmitted to the network node as CSI feedback (e.g., a CSI report). The CSI feedback can comprise: an indicator of channel quality (e.g., channel quality indicator (CQI) in LTE terminology), a pre-coding matrix indicator (PMI in LTE terminology), an indicator of the rank (e.g., Rank Indicator (RI) in LTE terminology), sub-band indices, beam indices, a CSI-resource indicator (e.g., CRI the same as beam indicator), etc. The PMI can be used for selection of transmission parameters for the different data streams transmitted between the network node and the UE (e.g., the indicator of CSI can be similar to what is referred to in LTE as the pre-coding matrix indicator PMI and can be used in a similar manner). 
     Based on the evaluation of the reference signal, the UE transmits CSI feedback  302  at transaction (2) (e.g., via a feedback channel, which can be separate from the channel the reference signal was sent on), which comprises recommendations for a suitable pre-coding matrix out of the appropriate codebook. This UE feedback identifying the pre-coding matrix is called the pre-coding matrix indicator (PMI), wherein the UE is pointing to one of these codebook entries. The UE is thus evaluating which pre-coding matrix would be more suitable for the transmissions between the network node and UE. 
     Also included in the CSI feedback  302  is the rank indicator (RI) which provides an indication of the rank of the channel matrix, wherein the rank is the number of different transmission data streams (layers) transmitted in parallel (in other words, the number of spatial layers) between the network node and the UE. The RI determines the format of the rest of the CSI reporting messages. As an example, in the case of LTE, when RI is reported to be 1, the rank 1 codebook PMI will be transmitted with one CQI, and when RI is 2, a rank 2 codebook PMI and two CQIs will be transmitted. 
     The user equipment  102  can transmit the CSI report to the network node  104  via the feedback channel either on request from the network node  104 , a-periodically, and/or periodically. Processing of the CSI feedback by the network node  104 , as shown in block  204  of  FIG.  2   , can comprise decoding the CSI feedback. The network node  104  can decode the RI and then use the decoded information (for example, the obtained size of the CSI) to decode the remainder of the CSI (e.g., the CQI, PMI, etc.). 
     The transmitted CSI report can be associated with a rank 1, indicative of a first transmission layer for widebeam communication. Alternatively, the user equipment  102  can transmit a second CSI report to the network node  104  via the feedback channel either on request from the network node  104 , a-periodically, and/or periodically. The second CSI report can comprise incremental CSI data, wherein the incremental CSI data is indicative of a transmission layer, wherein the transmission layer number (e.g., rank number) is incremented (e.g., transmission layer 1, transmission layer 2, transmission layer 3, etc.) and wherein the second transmission layer is for communication via a sub-band frequency. Since the sub-band for transmission layer 2 comprises data that is also included in the wideband for transmission layer 1, some of the data in the in the transmission layer 2 is redundant to that of transmission layer 1, although the sub-band operates on less frequencies than the wideband. It should be understood that other implementations are also possible, such as a third transmission layer over the second transmission layer, a fourth transmission layer over the third transmission layer, and so on. 
     Consequently, the incremental CSI feedback  304  can be sent from the UE  102  to the network node  104  over the feedback channel via transaction (3). The feedback channel can be the same feedback channel that was used to send the CSI feedback  302  to the network node  104  or a different feedback channel for sending incremental CSI feedback altogether. 
     This UE feedback identifying the pre-coding matrix for layer 2 can also be called the pre-coding matrix indicator (PMI), wherein the UE is pointing to one of these codebook entries for layer 2 transmission. The UE is thus evaluating which pre-coding matrix for layer 2 transmission would be more suitable for the transmissions between the network node and UE. 
     Also included in the incremental CSI feedback  304  is the rank indicator (RI) which provides an indication of the rank (e.g., rank 2) of the channel matrix, wherein the rank is the number of different transmission data streams (layers) transmitted in parallel (in other words, the number of spatial layers) between the network node and the UE. Therefore, in this case, the rank is 2 because the 2 nd  transmission layer can transmit in parallel with the 1 st  transmission layer. Therefore, a rank 2 codebook PMI and two CQIs will be transmitted. 
     A network scheduler can leverage the CSI report to determine downlink transmission scheduling parameters at block  204 , which are particular to the user equipment  102 . The scheduling parameters  204  can comprise modulation and coding schemes (MCS), power, physical resource blocks (PRBs), etc.  FIG.  2    depicts the physical layer signaling where the density change can be reported for the physical layer signaling or as a part of the radio resource control (RRC) signaling. 
     The network node  104  can transmit the parameters at transaction (4) to the UE  102  via a downlink control channel. Thereafter and/or simultaneously, at transaction (5), traffic data can be transferred, via a data traffic (e.g., non-control data such as data related to texts, emails, pictures, audio files videos, etc.) channel, from the network node  104  to the UE  102 . It should be understood that the transaction (3) can occur at any time after the transaction (2). More specifically, the transaction (3) for incremental CSI feedback can occur after the CSI feedback  302  has been decoded at block  204 , thus prompting an additional decoding to generate additional data to be transmitted and/or transferred to the UE  102  via the downlink control channel and/or the data traffic channel, respectively. 
     Referring now to  FIG.  4   , illustrated is an example schematic system graph  400  for rank layer versus frequency according to one or more embodiments. The schematic system graph  400  represents CSI feedback  302  in accordance with a first transmission layer  402  as a function of rank layer and frequency. The first transmission layer  402  can be a wideband or a UE  102  selected sub-band. Therefore, the UE  102  can report the PMI and CQI assuming the rank equals 1 for the first transmission layer  402 . Additionally, the system graph  400  represents incremental CSI feedback  304  in accordance with a second transmission layer  404  as a function of rank layer and frequency. The second transmission layer  404  can be a sub-band of the wideband. Therefore, the UE  102  can report the incremental PMI and incremental CQI assuming the rank equals 2 for the second transmission layer  404  on a UE  102  selected sub-band on top of the first transmission layer  402 . This framework allows the UE  102  to report higher rank CSI in an incremental format for a subset of bandwidth as reported for a lower rank CSI. With such information, a gNodeB scheduler can make decisions based on the rank and resource allocation for each UE  102 . For example, is the gNodeB can select the rank and resource bandwidth allocation jointly (e.g., the UE  102  can support rank=2 on some of the sub-bands while rank=1 is on a wideband bandwidth). The scheduler can also decide to schedule the UE  102   1  in the rank=2 sub-band and then schedule another UE  102   2  on other sub-bands. 
     Referring now to  FIG.  5    illustrates an example schematic system block diagram of a method for incremental channel state data reporting. At element  500 , based on a first defined rank indicator associated with a first transmission layer (e.g., first transmission layer  402 ), the method can comprise receiving, by a network device (e.g., network node  104 ) comprising a processor, channel state data from a wireless device (e.g., UE  102 ) of a wireless network. At element  502 , based on second defined rank indicator associated with a second transmission layer (e.g., second transmission layer  404 ), the method can comprise receiving, by the network device (e.g., network node  104 ), incremental channel state data (e.g., incremental CSI feedback  304 ), different from the channel state data (e.g., CSI feedback  302 ), from the wireless device (e.g., UE  102 ). Additionally, based on a portion of the channel state data (e.g., CSI feedback  302 ) not comprised in the incremental channel state data (e.g., incremental CSI feedback  304 ) and further based on the incremental channel state data, the method can comprise allocating, by the network device (e.g., network node  104 ), a resource for the wireless device (e.g., UE  102 ) at element  504 . 
     Referring now to  FIG.  6   , illustrated is an example schematic system block diagram of a method for incremental channel state data reporting and selecting a resource bandwidth. At element  600 , based on a first defined rank indicator associated with a first transmission layer (e.g., first transmission layer  402 ), the method can comprise receiving, by a network device (e.g., network node  104 ) comprising a processor, channel state data from a wireless device (e.g., UE  102 ) of a wireless network. At element  602 , based on second defined rank indicator associated with a second transmission layer (e.g., second transmission layer  404 ), the method can comprise receiving, by the network device (e.g., network node  104 ), incremental channel state data (e.g., incremental CSI feedback  304 ), different from the channel state data (e.g., CSI feedback  302 ), from the wireless device (e.g., UE  102 ). Additionally, based on a portion of the channel state data (e.g., CSI feedback  302 ) not comprised in the incremental channel state data (e.g., incremental CSI feedback  304 ) and further based on the incremental channel state data, the method can comprise allocating, by the network device (e.g., network node  104 ), a resource for the wireless device (e.g., UE  102 ) at element  604 . Based on the incremental channel state data (e.g., incremental CSI feedback  304 ), the method can also comprise selecting, by the network device (e.g., network node  104 ), a resource bandwidth to allocate for the wireless device (e.g., UE  102 ) at element  606 . 
     Referring now to  FIG.  7   , illustrated is an example schematic system block diagram of system for assigning a resource to a mobile device (e.g., UE  102 ) based on incremental channel state data. The system can comprise receiving, from a mobile device (e.g., UE  102 ), first channel state data (e.g., CSI feedback  302 ) representative of a first channel state of a first layer of a wireless network associated with a first frequency range at element  700 . At element  702 , the system can also comprise receiving, from the mobile device (e.g., UE  102 ), second channel state data (e.g., incremental CSI feedback  304 ), different than the first channel state data (e.g., CSI feedback  302 ), representative of a second channel state of a second layer, different than the first layer, of the wireless network associated with a second frequency range. Based on at least a portion of the first channel state data (e.g., CSI feedback  302 ) and the second channel state data (e.g., incremental CSI feedback  304 ) from the mobile device (e.g., UE  102 ), assigning a resource to the mobile device at element  706 . 
     Referring now to  FIG.  8   , illustrated is an example schematic system block diagram of a machine-readable medium for allocating a network resource. At element  800 , the machine-readable medium can facilitate sending, by a mobile device (e.g., UE  102 ) to a network device (e.g., network node  104 ), first rank data (e.g., CSI feedback  302 ) representative of a first rank associated with a first transmission layer of a wireless network. At element  802 , the machine-readable medium can facilitate sending, by the mobile device (e.g., UE  102 ) to the network device (e.g., network node  104 ), second rank data (e.g., incremental CSI feedback  304 ) representative of a second rank associated with a second transmission layer of the wireless network, wherein the second rank data (e.g., incremental CSI feedback  304 ) is incremental information to the first rank data (e.g., CSI feedback  302 ). Furthermore, at element  804 , in response to the facilitating the sending of the first rank data (e.g., CSI feedback  302 ) and the second rank data (e.g., incremental CSI feedback  304 ), the machine-readable medium can receive, by the mobile device (e.g., UE  102 ) from the network device (e.g., network node  104 ), an allocation to use a network resource of the wireless network. 
     Referring now to  FIG.  9   , illustrated is a schematic block diagram of an example end-user device such as a user equipment (e.g., UE  102 ) that can be a mobile device  900  capable of connecting to a network in accordance with some embodiments described herein. Although a mobile handset  900  is illustrated herein, it will be understood that other devices can be a mobile device, and that the mobile handset  900  is merely illustrated to provide context for the embodiments of the various embodiments described herein. The following discussion is intended to provide a brief, general description of an example of a suitable environment  900  in which the various embodiments can be implemented. While the description comprises a general context of computer-executable instructions embodied on a machine-readable storage medium, those skilled in the art will recognize that the innovation also can be implemented in combination with other program modules and/or as a combination of hardware and software. 
     Generally, applications (e.g., program modules) can include routines, programs, components, data structures, etc., that perform particular tasks or implement particular abstract data types. Moreover, those skilled in the art will appreciate that the methods described herein can be practiced with other system configurations, comprising single-processor or multiprocessor systems, minicomputers, mainframe computers, as well as personal computers, hand-held computing devices, microprocessor-based or programmable consumer electronics, and the like, each of which can be operatively coupled to one or more associated devices. 
     A computing device can typically include a variety of machine-readable media. Machine-readable media can be any available media that can be accessed by the computer and comprises both volatile and non-volatile media, removable and non-removable media. By way of example and not limitation, computer-readable media can comprise computer storage media and communication media. Computer storage media can include volatile and/or non-volatile media, removable and/or non-removable media implemented in any method or technology for storage of information, such as computer-readable instructions, data structures, program modules or other data. Computer storage media can include, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD ROM, digital video disk (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by the computer. 
     Communication media typically embodies computer-readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism, and comprises any information delivery media. The term “modulated data signal” means a signal that has one or more of its characteristics set or changed in such a manner as to encode information in the signal. By way of example, and not limitation, communication media comprises wired media such as a wired network or direct-wired connection, and wireless media such as acoustic, RF, infrared and other wireless media. Combinations of any of the above should also be included within the scope of computer-readable media. 
     The handset  900  comprises a processor  902  for controlling and processing all onboard operations and functions. A memory  904  interfaces to the processor  902  for storage of data and one or more applications  906  (e.g., a video player software, user feedback component software, etc.). Other applications can include voice recognition of predetermined voice commands that facilitate initiation of the user feedback signals. The applications  906  can be stored in the memory  904  and/or in a firmware  908 , and executed by the processor  902  from either or both the memory  904  or/and the firmware  908 . The firmware  908  can also store startup code for execution in initializing the handset  900 . A communications component  910  interfaces to the processor  902  to facilitate wired/wireless communication with external systems, e.g., cellular networks, VoIP networks, and so on. Here, the communications component  910  can also include a suitable cellular transceiver  911  (e.g., a GSM transceiver) and/or an unlicensed transceiver  913  (e.g., Wi-Fi, WiMax) for corresponding signal communications. The handset  900  can be a device such as a cellular telephone, a PDA with mobile communications capabilities, and messaging-centric devices. The communications component  910  also facilitates communications reception from terrestrial radio networks (e.g., broadcast), digital satellite radio networks, and Internet-based radio services networks. 
     The handset  900  comprises a display  912  for displaying text, images, video, telephony functions (e.g., a Caller ID function), setup functions, and for user input. For example, the display  912  can also be referred to as a “screen” that can accommodate the presentation of multimedia content (e.g., music metadata, messages, wallpaper, graphics, etc.). The display  912  can also display videos and can facilitate the generation, editing and sharing of video quotes. A serial I/O interface  914  is provided in communication with the processor  902  to facilitate wired and/or wireless serial communications (e.g., USB, and/or IEEE 1394) through a hardwire connection, and other serial input devices (e.g., a keyboard, keypad, and mouse). This supports updating and troubleshooting the handset  900 , for example. Audio capabilities are provided with an audio I/O component  916 , which can include a speaker for the output of audio signals related to, for example, indication that the user pressed the proper key or key combination to initiate the user feedback signal. The audio I/O component  916  also facilitates the input of audio signals through a microphone to record data and/or telephony voice data, and for inputting voice signals for telephone conversations. 
     The handset  900  can include a slot interface  918  for accommodating a SIC (Subscriber Identity Component) in the form factor of a card Subscriber Identity Module (SIM) or universal SIM  920 , and interfacing the SIM card  920  with the processor  902 . However, it is to be appreciated that the SIM card  920  can be manufactured into the handset  900 , and updated by downloading data and software. 
     The handset  900  can process IP data traffic through the communication component  910  to accommodate IP traffic from an IP network such as, for example, the Internet, a corporate intranet, a home network, a person area network, etc., through an ISP or broadband cable provider. Thus, VoIP traffic can be utilized by the handset  900  and IP-based multimedia content can be received in either an encoded or decoded format. 
     A video processing component  922  (e.g., a camera) can be provided for decoding encoded multimedia content. The video processing component  922  can aid in facilitating the generation, editing and sharing of video quotes. The handset  900  also comprises a power source  924  in the form of batteries and/or an AC power subsystem, which power source  924  can interface to an external power system or charging equipment (not shown) by a power I/O component  926 . 
     The handset  900  can also include a video component  930  for processing video content received and, for recording and transmitting video content. For example, the video component  930  can facilitate the generation, editing and sharing of video quotes. A location tracking component  932  facilitates geographically locating the handset  900 . As described hereinabove, this can occur when the user initiates the feedback signal automatically or manually. A user input component  934  facilitates the user initiating the quality feedback signal. The user input component  934  can also facilitate the generation, editing and sharing of video quotes. The user input component  934  can include such conventional input device technologies such as a keypad, keyboard, mouse, stylus pen, and/or touch screen, for example. 
     Referring again to the applications  906 , a hysteresis component  936  facilitates the analysis and processing of hysteresis data, which is utilized to determine when to associate with the access point. A software trigger component  938  can be provided that facilitates triggering of the hysteresis component  938  when the Wi-Fi transceiver  913  detects the beacon of the access point. A SIP client  940  enables the handset  900  to support SIP protocols and register the subscriber with the SIP registrar server. The applications  906  can also include a client  942  that provides at least the capability of discovery, play and store of multimedia content, for example, music. 
     The handset  900 , as indicated above related to the communications component  810 , comprises an indoor network radio transceiver  913  (e.g., Wi-Fi transceiver). This function supports the indoor radio link, such as IEEE 802.11, for the dual-mode GSM handset  900 . The handset  900  can accommodate at least satellite radio services through a handset that can combine wireless voice and digital radio chipsets into a single handheld device. 
     Referring now to  FIG.  10   , there is illustrated a block diagram of a computer  1000  operable to execute the functions and operations performed in the described example embodiments. For example, a network node (e.g., network node  104 ) can contain components as described in  FIG.  10   . The computer  1000  can provide networking and communication capabilities between a wired or wireless communication network and a server and/or communication device. In order to provide additional context for various aspects thereof,  FIG.  10    and the following discussion are intended to provide a brief, general description of a suitable computing environment in which the various aspects of the innovation can be implemented to facilitate the establishment of a transaction between an entity and a third party. While the description above is in the general context of computer-executable instructions that can run on one or more computers, those skilled in the art will recognize that the innovation also can be implemented in combination with other program modules and/or as a combination of hardware and software. 
     Generally, program modules include routines, programs, components, data structures, etc., that perform particular tasks or implement particular abstract data types. Moreover, those skilled in the art will appreciate that the various methods can be practiced with other computer system configurations, comprising single-processor or multiprocessor computer systems, minicomputers, mainframe computers, as well as personal computers, hand-held computing devices, microprocessor-based or programmable consumer electronics, and the like, each of which can be operatively coupled to one or more associated devices. 
     The illustrated aspects of the innovation can also be practiced in distributed computing environments where certain tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules can be located in both local and remote memory storage devices. 
     Computing devices typically include a variety of media, which can include computer-readable storage media or communications media, which two terms are used herein differently from one another as follows. 
     Computer-readable storage media can be any available storage media that can be accessed by the computer and comprises both volatile and nonvolatile media, removable and non-removable media. By way of example, and not limitation, computer-readable storage media can be implemented in connection with any method or technology for storage of information such as computer-readable instructions, program modules, structured data, or unstructured data. Computer-readable storage media can include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disk (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or other tangible and/or non-transitory media which can be used to store desired information. Computer-readable storage media can be accessed by one or more local or remote computing devices, e.g., via access requests, queries or other data retrieval protocols, for a variety of operations with respect to the information stored by the medium. 
     Communications media can embody computer-readable instructions, data structures, program modules or other structured or unstructured data in a data signal such as a modulated data signal, e.g., a carrier wave or other transport mechanism, and comprises any information delivery or transport media. The term “modulated data signal” or signals refers to a signal that has one or more of its characteristics set or changed in such a manner as to encode information in one or more signals. By way of example, and not limitation, communication media include wired media, such as a wired network or direct-wired connection, and wireless media such as acoustic, RF, infrared and other wireless media. 
     With reference to  FIG.  10   , implementing various aspects described herein with regards to the end-user device can include a computer  1000 , the computer  1000  comprising a processing unit  1004 , a system memory  1006  and a system bus  1008 . The system bus  1008  couples system components comprising the system memory  1006  to the processing unit  1004 . The processing unit  1004  can be any of various commercially available processors. Dual microprocessors and other multi-processor architectures can also be employed as the processing unit  1004 . 
     The system bus  1008  can be any of several types of bus structure that can further interconnect to a memory bus (with or without a memory controller), a peripheral bus, and a local bus using any of a variety of commercially available bus architectures. The system memory  1006  comprises read-only memory (ROM)  1027  and random access memory (RAM)  1012 . A basic input/output system (BIOS) is stored in a non-volatile memory  1027  such as ROM, EPROM, EEPROM, which BIOS contains the basic routines that help to transfer information between elements within the computer  1000 , such as during start-up. The RAM  1012  can also include a high-speed RAM such as static RAM for caching data. 
     The computer  1000  further comprises an internal hard disk drive (HDD)  1014  (e.g., EIDE, SATA), which internal hard disk drive  1014  can also be configured for external use in a suitable chassis (not shown), a magnetic floppy disk drive (FDD)  1016 , (e.g., to read from or write to a removable diskette  1018 ) and an optical disk drive  1020 , (e.g., reading a CD-ROM disk  1022  or, to read from or write to other high capacity optical media such as the DVD). The hard disk drive  1014 , magnetic disk drive  1016  and optical disk drive  1020  can be connected to the system bus  1008  by a hard disk drive interface  1024 , a magnetic disk drive interface  1026  and an optical drive interface  1028 , respectively. The interface  1024  for external drive implementations comprises at least one or both of Universal Serial Bus (USB) and IEEE 1294 interface technologies. Other external drive connection technologies are within contemplation of the subject innovation. 
     The drives and their associated computer-readable media provide nonvolatile storage of data, data structures, computer-executable instructions, and so forth. For the computer  1000  the drives and media accommodate the storage of any data in a suitable digital format. Although the description of computer-readable media above refers to a HDD, a removable magnetic diskette, and a removable optical media such as a CD or DVD, it should be appreciated by those skilled in the art that other types of media which are readable by a computer  1000 , such as zip drives, magnetic cassettes, flash memory cards, cartridges, and the like, can also be used in the example operating environment, and further, that any such media can contain computer-executable instructions for performing the methods of the disclosed innovation. 
     A number of program modules can be stored in the drives and RAM  1012 , comprising an operating system  1030 , one or more application programs  1032 , other program modules  1034  and program data  1036 . All or portions of the operating system, applications, modules, and/or data can also be cached in the RAM  1012 . It is to be appreciated that the innovation can be implemented with various commercially available operating systems or combinations of operating systems. 
     A user can enter commands and information into the computer  1000  through one or more wired/wireless input devices, e.g., a keyboard  1038  and a pointing device, such as a mouse  1040 . Other input devices (not shown) can include a microphone, an IR remote control, a joystick, a game pad, a stylus pen, touch screen, or the like. These and other input devices are often connected to the processing unit  1004  through an input device interface  1042  that is coupled to the system bus  1008 , but can be connected by other interfaces, such as a parallel port, an IEEE 2394 serial port, a game port, a USB port, an IR interface, etc. 
     A monitor  1044  or other type of display device is also connected to the system bus  1008  through an interface, such as a video adapter  1046 . In addition to the monitor  1044 , a computer  1000  typically comprises other peripheral output devices (not shown), such as speakers, printers, etc. 
     The computer  1000  can operate in a networked environment using logical connections by wired and/or wireless communications to one or more remote computers, such as a remote computer(s)  1048 . The remote computer(s)  1048  can be a workstation, a server computer, a router, a personal computer, portable computer, microprocessor-based entertainment device, a peer device or other common network node, and typically comprises many or all of the elements described relative to the computer, although, for purposes of brevity, only a memory/storage device  1050  is illustrated. The logical connections depicted include wired/wireless connectivity to a local area network (LAN)  1052  and/or larger networks, e.g., a wide area network (WAN)  1054 . Such LAN and WAN networking environments are commonplace in offices and companies, and facilitate enterprise-wide computer networks, such as intranets, all of which can connect to a global communications network, e.g., the Internet. 
     When used in a LAN networking environment, the computer  1000  is connected to the local network  1052  through a wired and/or wireless communication network interface or adapter  1056 . The adapter  1056  can facilitate wired or wireless communication to the LAN  1052 , which can also include a wireless access point disposed thereon for communicating with the wireless adapter  1056 . 
     When used in a WAN networking environment, the computer  1000  can include a modem  1058 , or is connected to a communications server on the WAN  1054 , or has other means for establishing communications over the WAN  1054 , such as by way of the Internet. The modem  1058 , which can be internal or external and a wired or wireless device, is connected to the system bus  1008  through the input device interface  1042 . In a networked environment, program modules depicted relative to the computer, or portions thereof, can be stored in the remote memory/storage device  1050 . It will be appreciated that the network connections shown are exemplary and other means of establishing a communications link between the computers can be used. 
     The computer is operable to communicate with any wireless devices or entities operatively disposed in wireless communication, e.g., a printer, scanner, desktop and/or portable computer, portable data assistant, communications satellite, any piece of equipment or location associated with a wirelessly detectable tag (e.g., a kiosk, news stand, restroom), and telephone. This comprises at least Wi-Fi and Bluetooth™ wireless technologies. Thus, the communication can be a predefined structure as with a conventional network or simply an ad hoc communication between at least two devices. 
     Wi-Fi, or Wireless Fidelity, allows connection to the Internet from a couch at home, a bed in a hotel room, or a conference room at work, without wires. Wi-Fi is a wireless technology similar to that used in a cell phone that enables such devices, e.g., computers, to send and receive data indoors and out; anywhere within the range of a base station. Wi-Fi networks use radio technologies called IEEE802.11 (a, b, g, n, etc.) to provide secure, reliable, fast wireless connectivity. A Wi-Fi network can be used to connect computers to each other, to the Internet, and to wired networks (which use IEEE802.3 or Ethernet). Wi-Fi networks operate in the unlicensed 2.4 and 5 GHz radio bands, at an 11 Mbps (802.11b) or 54 Mbps (802.11a) data rate, for example, or with products that contain both bands (dual band), so the networks can provide real-world performance similar to the basic “10BaseT” wired Ethernet networks used in many offices. 
     As used in this application, the terms “system,” “component,” “interface,” and the like are generally intended to refer to a computer-related entity or an entity related to an operational machine with one or more specific functionalities. The entities disclosed herein can be either hardware, a combination of hardware and software, software, or software in execution. For example, a component can be, but is not limited to being, a process running on a processor, a processor, an object, an executable, a thread of execution, a program, and/or a computer. By way of illustration, both an application running on a server and the server can be a component. One or more components can reside within a process and/or thread of execution and a component can be localized on one computer and/or distributed between two or more computers. These components also can execute from various computer readable storage media comprising various data structures stored thereon. The components can communicate via local and/or remote processes such as in accordance with a signal comprising one or more data packets (e.g., data from one component interacting with another component in a local system, distributed system, and/or across a network such as the Internet with other systems via the signal). As another example, a component can be an apparatus with specific functionality provided by mechanical parts operated by electric or electronic circuitry that is operated by software or firmware application(s) executed by a processor, wherein the processor can be internal or external to the apparatus and executes at least a part of the software or firmware application. As yet another example, a component can be an apparatus that provides specific functionality through electronic components without mechanical parts, the electronic components can comprise a processor therein to execute software or firmware that confers at least in part the functionality of the electronic components. An interface can comprise input/output (I/O) components as well as associated processor, application, and/or API components. 
     Furthermore, the disclosed subject matter can be implemented as a method, apparatus, or article of manufacture using standard programming and/or engineering techniques to produce software, firmware, hardware, or any combination thereof to control a computer to implement the disclosed subject matter. The term “article of manufacture” as used herein is intended to encompass a computer program accessible from any computer-readable device, computer-readable carrier, or computer-readable media. For example, computer-readable media can include, but are not limited to, a magnetic storage device, e.g., hard disk; floppy disk; magnetic strip(s); an optical disk (e.g., compact disk (CD), a digital video disc (DVD), a Blu-ray Disc™ (BD)); a smart card; a flash memory device (e.g., card, stick, key drive); and/or a virtual device that emulates a storage device and/or any of the above computer-readable media. 
     As it employed in the subject specification, the term “processor” can refer to substantially any computing processing unit or device comprising single-core processors; single-processors with software multithread execution capability; multi-core processors; multi-core processors with software multithread execution capability; multi-core processors with hardware multithread technology; parallel platforms; and parallel platforms with distributed shared memory. Additionally, a processor can refer to an integrated circuit, an application specific integrated circuit (ASIC), a digital signal processor (DSP), a field programmable gate array (FPGA), a programmable logic controller (PLC), a complex programmable logic device (CPLD), a discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. Processors can exploit nano-scale architectures such as, but not limited to, molecular and quantum-dot based transistors, switches and gates, in order to optimize space usage or enhance performance of UE. A processor also can be implemented as a combination of computing processing units. 
     In the subject specification, terms such as “store,” “data store,” “data storage,” “database,” “repository,” “queue”, and substantially any other information storage component relevant to operation and functionality of a component, refer to “memory components,” or entities embodied in a “memory” or components comprising the memory. It will be appreciated that the memory components described herein can be either volatile memory or nonvolatile memory, or can comprise both volatile and nonvolatile memory. In addition, memory components or memory elements can be removable or stationary. Moreover, memory can be internal or external to a device or component, or removable or stationary. Memory can comprise various types of media that are readable by a computer, such as hard-disc drives, zip drives, magnetic cassettes, flash memory cards or other types of memory cards, cartridges, or the like. 
     By way of illustration, and not limitation, nonvolatile memory can comprise read only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM), or flash memory. Volatile memory can comprise random access memory (RAM), which acts as external cache memory. By way of illustration and not limitation, RAM is available in many forms such as synchronous RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), and direct Rambus RAM (DRRAM). Additionally, the disclosed memory components of systems or methods herein are intended to comprise, without being limited to comprising, these and any other suitable types of memory. 
     In particular and in regard to the various functions performed by the above described components, devices, circuits, systems and the like, the terms (comprising a reference to a “means”) used to describe such components are intended to correspond, unless otherwise indicated, to any component which performs the specified function of the described component (e.g., a functional equivalent), even though not structurally equivalent to the disclosed structure, which performs the function in the herein illustrated example aspects of the embodiments. In this regard, it will also be recognized that the embodiments comprise a system as well as a computer-readable medium comprising computer-executable instructions for performing the acts and/or events of the various methods. 
     Computing devices typically comprise a variety of media, which can comprise computer-readable storage media and/or communications media, which two terms are used herein differently from one another as follows. Computer-readable storage media can be any available storage media that can be accessed by the computer and comprises both volatile and nonvolatile media, removable and non-removable media. By way of example, and not limitation, computer-readable storage media can be implemented in connection with any method or technology for storage of information such as computer-readable instructions, program modules, structured data, or unstructured data. Computer-readable storage media can comprise, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disk (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or other tangible and/or non-transitory media which can be used to store desired information. Computer-readable storage media can be accessed by one or more local or remote computing devices, e.g., via access requests, queries or other data retrieval protocols, for a variety of operations with respect to the information stored by the medium. 
     On the other hand, communications media typically embody computer-readable instructions or machine-readable instructions, data structures, program modules or other structured or unstructured data in a data signal such as a modulated data signal, e.g., a carrier wave or other transport mechanism, and comprises any information delivery or transport media. The term “modulated data signal” or signals refers to a signal that has one or more of its characteristics set or changed in such a manner as to encode information in one or more signals. By way of example, and not limitation, communications media comprise wired media, such as a wired network or direct-wired connection, and wireless media such as acoustic, RF, infrared and other wireless media 
     Further, terms like “user equipment,” “user device,” “mobile device,” “mobile,” station,” “access terminal,” “terminal,” “handset,” and similar terminology, generally refer to a wireless device utilized by a subscriber or user of a wireless communication network or service to receive or convey data, control, voice, video, sound, gaming, or substantially any data-stream or signaling-stream. The foregoing terms are utilized interchangeably in the subject specification and related drawings. Likewise, the terms “access point,” “node B,” “base station,” “evolved Node B,” “cell,” “cell site,” and the like, can be utilized interchangeably in the subject application, and refer to a wireless network component or appliance that serves and receives data, control, voice, video, sound, gaming, or substantially any data-stream or signaling-stream from a set of subscriber stations. Data and signaling streams can be packetized or frame-based flows. It is noted that in the subject specification and drawings, context or explicit distinction provides differentiation with respect to access points or base stations that serve and receive data from a mobile device in an outdoor environment, and access points or base stations that operate in a confined, primarily indoor environment overlaid in an outdoor coverage area. Data and signaling streams can be packetized or frame-based flows. 
     Furthermore, the terms “user,” “subscriber,” “customer,” “consumer,” and the like are employed interchangeably throughout the subject specification, unless context warrants particular distinction(s) among the terms. It should be appreciated that such terms can refer to human entities, associated devices, or automated components supported through artificial intelligence (e.g., a capacity to make inference based on complex mathematical formalisms) which can provide simulated vision, sound recognition and so forth. In addition, the terms “wireless network” and “network” are used interchangeably in the subject application, when context wherein the term is utilized warrants distinction for clarity purposes such distinction is made explicit. 
     Moreover, the word “exemplary,” where used, is used herein to mean serving as an example, instance, or illustration. Any aspect or design described herein as “exemplary” is not necessarily to be construed as preferred or advantageous over other aspects or designs. Rather, use of the word exemplary is intended to present concepts in a concrete fashion. As used in this application, the term “or” is intended to mean an inclusive “or” rather than an exclusive “or”. That is, unless specified otherwise, or clear from context, “X employs A or B” is intended to mean any of the natural inclusive permutations. That is, if X employs A; X employs B; or X employs both A and B, then “X employs A or B” is satisfied under any of the foregoing instances. In addition, the articles “a” and “an” as used in this application and the appended claims should generally be construed to mean “one or more” unless specified otherwise or clear from context to be directed to a singular form. 
     In addition, while a particular feature may have been disclosed with respect to only one of several implementations, such feature can be combined with one or more other features of the other implementations as may be desired and advantageous for any given or particular application. Furthermore, to the extent that the terms “have”, “having”, “includes” and “including” and variants thereof are used in either the detailed description or the claims, these terms are intended to be inclusive in a manner similar to the term “comprising.” 
     The above description of illustrated embodiments of the subject disclosure, including what is described in the Abstract, is not intended to be exhaustive or to limit the disclosed embodiments to the precise forms disclosed. While specific embodiments and examples are described herein for illustrative purposes, various modifications are possible that are considered within the scope of such embodiments and examples, as those skilled in the relevant art can recognize. 
     In this regard, while the subject matter has been described herein in connection with various embodiments and corresponding FIGs, where applicable, it is to be understood that other similar embodiments can be used or modifications and additions can be made to the described embodiments for performing the same, similar, alternative, or substitute function of the disclosed subject matter without deviating therefrom. Therefore, the disclosed subject matter should not be limited to any single embodiment described herein, but rather should be construed in breadth and scope in accordance with the appended claims below.