Configuration of entropy coding for channel state feedback

Abstract

Various aspects of the present disclosure generally relate to wireless communications. In some aspects, a user equipment (UE) may receive entropy coding configuration information identifying one or more fields to be included in a payload of a channel state feedback (CSF) message that transmits entropy coded (CSF). The UE may send a CSF message to transmit an entropy coded CSF, the CSF message including one or more fields according to entropy coding configuration information. Numerous other aspects are described.

Description

Background Technology

[0001] All aspects of this disclosure relate to wireless communication in general, and more particularly to techniques, apparatus and methods for transmitting configuration information related to channel feedback.

[0002] Wireless communication systems are widely deployed to provide a variety of services, including voice, text, messaging, video, data, and / or other services. Services may include unicast, multicast, and / or broadcast services, etc. Typical wireless communication systems employ multiple access radio access technologies (RATs) capable of supporting communication with multiple users by sharing available system resources (e.g., time-domain resources, frequency-domain resources, spatial-domain resources, and / or device transmit power, etc.). Examples of such multiple access RATs include Code Division Multiple Access (CDMA) systems, Time Division Multiple Access (TDMA) systems, Frequency Division Multiple Access (FDMA) systems, Orthogonal Frequency Division Multiple Access (OFDMA) systems, Single-Carrier Frequency Division Multiple Access (SC-FDMA) systems, and Time Division Synchronous Code Division Multiple Access (TD-SCDMA) systems.

[0003] The aforementioned Multiple Access RATs have been adopted in various telecommunications standards to provide a common protocol enabling different wireless communication devices to communicate at the city, national, regional, or global level. An example telecommunications standard is New Radio (NR). NR (also known as 5G) is part of the continuous evolution of mobile broadband announced by the 3rd Generation Partnership Project (3GPP). NR (and other mobile broadband evolutions beyond NR) can be designed to better support the Internet of Things (IoT) and reduced-capacity device deployments, industrial connectivity, millimeter-wave (mmWave) expansion, licensed and unlicensed spectrum access, non-terrestrial network (NTN) deployments, sidelinks and other device-to-device direct communication technologies (e.g., cellular vehicle-to-everything (CV2X) communications), massive MIMO, decomposed network architectures and network topology expansion, multi-subscriber implementations, high-precision positioning and / or radio frequency (RF) sensing, and more. As the demand for mobile broadband access continues to grow, further improvements to NR can be implemented, and other radio access technologies (such as 6G) can be introduced to further advance mobile broadband evolution. Summary of the Invention

[0004] Some aspects described herein relate to a method for wireless communication performed at a user equipment (UE). The method may include: receiving entropy decoding configuration information that identifies one or more fields to be included in the payload of a Channel State Feedback (CSF) message for transmitting entropy decoding. The method may also include: sending a CSF message for transmitting the CSF of entropy decoding, the CSF message including one or more fields according to the entropy decoding configuration information.

[0005] Some aspects described herein relate to a method for wireless communication performed at a UE. The method may include: receiving entropy decoding configuration information that identifies one or more parameters for transmitting a CSF message of entropy-decoded CSF, wherein the one or more parameters include parameters identifying at least one of: an entropy decoding algorithm, a probability quality function, whether the probability quality function is used on entries of an embedding vector, or a combination thereof. The method may also include: transmitting a CSF message of entropy-decoded CSF based on the one or more parameters.

[0006] Some aspects described herein relate to a method for wireless communication performed at a UE. The method may include: receiving entropy decoding configuration information that identifies a set of parameters for transmitting CSF messages of entropy-decoded CSF, wherein the parameter set includes a payload size parameter. The method may also include: transmitting CSF messages for transmitting entropy-decoded CSF according to the parameter set.

[0007] Some aspects described herein relate to a method for wireless communication performed at a network node. The method may include: transmitting entropy decoding configuration information that identifies one or more fields for inclusion in the payload of a CSF message transmitting entropy-decoded CSF. The method may also include: receiving a CSF message transmitting entropy-decoded CSF, the CSF message including one or more fields according to the entropy decoding configuration information.

[0008] Some aspects described herein relate to a method for wireless communication performed at a network node. The method may include: transmitting entropy decoding configuration information that identifies one or more parameters for transmitting a CSF message of entropy-decoded CSF, wherein the one or more parameters include parameters identifying at least one of: an entropy decoding algorithm, a probability mass function, whether the probability mass function is used on entries of an embedding vector, or a combination thereof. The method may also include: receiving a CSF message of entropy-decoded CSF based on one or more parameters.

[0009] Some aspects described herein relate to a method for wireless communication performed at a network node. The method may include: transmitting entropy decoding configuration information that identifies a set of parameters for transmitting CSF messages of entropy-decoded CSF, wherein the parameter set includes a payload size parameter. The method may also include: receiving CSF messages of entropy-decoded CSF based on the parameter set.

[0010] Some aspects described herein relate to an apparatus for wireless communication at a UE. The apparatus may include one or more memories and one or more processors coupled to the one or more memories. The one or more processors may be configured to cause the UE to: receive entropy decoding configuration information identifying one or more fields to be included in the payload of a CSF message transmitting entropy-decoded CSF. The one or more processors may be configured to cause the UE to: send a CSF message for transmitting entropy-decoded CSF, the CSF message including one or more fields according to the entropy decoding configuration information.

[0011] Some aspects described herein relate to an apparatus for wireless communication at a UE. The apparatus may include one or more memories and one or more processors coupled to the one or more memories. The one or more processors may be configured to cause the UE to: receive entropy decoding configuration information identifying one or more parameters for transmitting a CSF message of entropy-decoded CSF, wherein the one or more parameters include parameters identifying at least one of: an entropy decoding algorithm, a probability mass function, whether the probability mass function is used on an entry of an embedding vector, or a combination thereof. The one or more processors may be configured to cause the UE to: transmit a CSF message of entropy-decoded CSF according to the one or more parameters.

[0012] Some aspects described herein relate to an apparatus for wireless communication at a UE. The apparatus may include one or more memories and one or more processors coupled to the one or more memories. The one or more processors may be configured to cause the UE to: receive entropy decoding configuration information identifying a set of parameters for transmitting CSF messages of entropy-decoded CSF, wherein the parameter set includes a payload size parameter. The one or more processors may be configured to cause the UE to: transmit CSF messages for transmitting entropy-decoded CSF according to the parameter set.

[0013] Some aspects described herein relate to an apparatus for wireless communication at a network node. The apparatus may include one or more memories and one or more processors coupled to the one or more memories. The one or more processors may be configured to cause the network node to: transmit entropy decoding configuration information identifying one or more fields for inclusion in the payload of a CSF message transmitting entropy-decoded CSF; and the one or more processors may be configured to cause the network node to: receive a CSF message transmitting entropy-decoded CSF, the CSF message including one or more fields according to the entropy decoding configuration information.

[0014] Some aspects described herein relate to an apparatus for wireless communication at a network node. The apparatus may include one or more memories and one or more processors coupled to the one or more memories. The one or more processors may be configured to cause the network node to: transmit entropy decoding configuration information identifying one or more parameters for transmitting a CSF message of entropy-decoded CSF, wherein the one or more parameters include parameters identifying at least one of: an entropy decoding algorithm, a probability mass function, whether the probability mass function is used on entries of an embedding vector, or a combination thereof. The one or more processors may be configured to cause the network node to: receive a CSF message of entropy-decoded CSF based on the one or more parameters.

[0015] Some aspects described herein relate to an apparatus for wireless communication at a network node. The apparatus may include one or more memories and one or more processors coupled to the one or more memories. The one or more processors may be configured to cause a network entity to: transmit entropy decoding configuration information identifying a set of parameters for transmitting CSF messages of entropy-decoded CSF, wherein the parameter set includes a payload size parameter. The one or more processors may be configured to cause a network node to: receive CSF messages of entropy-decoded CSF according to the parameter set.

[0016] Some aspects described herein relate to a non-transitory computer-readable medium storing a set of instructions for wireless communication by a UE. When executed by one or more processors of the UE, the set of instructions enables the UE to: receive entropy decoding configuration information identifying one or more fields to be included in the payload of a CSF message transmitting entropy-decoded CSF. When executed by one or more processors of the UE, the set of instructions enables the UE to: send a CSF message for transmitting entropy-decoded CSF, the CSF message including one or more fields according to the entropy decoding configuration information.

[0017] Some aspects described herein relate to a non-transitory computer-readable medium storing a set of instructions for wireless communication by a UE. When executed by one or more processors of the UE, the set of instructions enables the UE to: receive entropy decoding configuration information identifying one or more parameters for transmitting a CSF message of entropy-decoded CSF, wherein the one or more parameters include parameters identifying at least one of: an entropy decoding algorithm, a probability mass function, whether the probability mass function is used on an entry in an embedding vector, or a combination thereof. When executed by one or more processors of the UE, the set of instructions enables the UE to: transmit a CSF message of entropy-decoded CSF according to one or more parameters.

[0018] Some aspects described herein relate to a non-transitory computer-readable medium storing a set of instructions for wireless communication by a UE. When executed by one or more processors of the UE, the set of instructions enables the UE to: receive entropy decoding configuration information identifying a set of parameters for transmitting CSF messages of entropy-decoded CSF, wherein the parameter set includes a payload size parameter. When executed by one or more processors of the UE, the set of instructions enables the UE to: send CSF messages for transmitting entropy-decoded CSF according to the parameter set.

[0019] Some aspects described herein relate to a non-transitory computer-readable medium storing a set of instructions for wireless communication by a network node. When executed by one or more processors of the network node, the set of instructions enables the network node to: transmit entropy decoding configuration information identifying one or more fields for inclusion in the payload of a CSF message transmitting entropy-decoded CSF. When executed by one or more processors of the network node, the set of instructions enables the network node to: receive a CSF message transmitting entropy-decoded CSF, the CSF message including one or more fields according to the entropy decoding configuration information.

[0020] Some aspects described herein relate to a non-transitory computer-readable medium storing a set of instructions for wireless communication by a network node. When executed by one or more processors of the network node, the set of instructions enables the network node to: send entropy decoding configuration information identifying one or more parameters for transmitting a CSF message of entropy-decoded CSF, wherein the one or more parameters include parameters identifying at least one of: an entropy decoding algorithm, a probability mass function, whether the probability mass function is used on entries of an embedding vector, or a combination thereof. When executed by one or more processors of the network node, the set of instructions enables the network node to: receive a CSF message of entropy-decoded CSF according to one or more parameters.

[0021] Some aspects described herein relate to a non-transitory computer-readable medium storing a set of instructions for wireless communication by a network node. When executed by one or more processors of the network node, the set of instructions enables the network node to: send entropy decoding configuration information identifying a set of parameters for transmitting CSF messages of entropy-decoded CSF, wherein the parameter set includes a payload size parameter. When executed by one or more processors of the network node, the set of instructions enables the network node to: receive CSF messages of entropy-decoded CSF according to the parameter set.

[0022] Some aspects described herein relate to an apparatus for wireless communication. The apparatus may include: components for receiving entropy decoding configuration information, the entropy decoding configuration information identifying one or more fields to be included in the payload of a CSF message transmitting entropy-decoded CSF. The apparatus may also include: components for transmitting a CSF message for transmitting entropy-decoded CSF, the CSF message including one or more fields according to the entropy decoding configuration information.

[0023] Some aspects described herein relate to an apparatus for wireless communication. The apparatus may include: components for receiving entropy decoding configuration information, the entropy decoding configuration information identifying one or more parameters for transmitting a CSF message of entropy-decoded CSF, wherein the one or more parameters include parameters identifying at least one of: an entropy decoding algorithm, a probability mass function, whether the probability mass function is used on entries of an embedding vector, or a combination thereof. The apparatus may also include: components for transmitting a CSF message of entropy-decoded CSF according to one or more parameters.

[0024] Some aspects described herein relate to an apparatus for wireless communication. The apparatus may include: components for receiving entropy decoding configuration information, the entropy decoding configuration information identifying a set of parameters for transmitting CSF messages of entropy-decoded CSF, wherein the parameter set includes a payload size parameter. The apparatus may also include: components for transmitting CSF messages of entropy-decoded CSF according to the parameter set.

[0025] Some aspects described herein relate to an apparatus for wireless communication. The apparatus may include: components for transmitting entropy decoding configuration information, the entropy decoding configuration information identifying one or more fields for inclusion in the payload of a CSF message transmitting entropy-decoded CSF. The apparatus may also include: components for receiving a CSF message transmitting entropy-decoded CSF, the CSF message including one or more fields according to the entropy decoding configuration information.

[0026] Some aspects described herein relate to an apparatus for wireless communication. The apparatus may include: components for transmitting entropy decoding configuration information, the entropy decoding configuration information identifying one or more parameters for transmitting a CSF message of entropy-decoded CSF, wherein the one or more parameters include parameters identifying at least one of: an entropy decoding algorithm, a probability mass function, whether the probability mass function is used on entries of an embedding vector, or a combination thereof. The apparatus may also include: components for receiving a CSF message of entropy-decoded CSF based on one or more parameters.

[0027] Some aspects described herein relate to an apparatus for wireless communication. The apparatus may include: components for transmitting entropy decoding configuration information, the entropy decoding configuration information identifying a set of parameters for transmitting CSF messages of entropy-decoded CSF, wherein the parameter set includes a payload size parameter. The apparatus may also include: components for receiving CSF messages of entropy-decoded CSF according to the parameter set.

[0028] Various aspects of this disclosure may be implemented or be implemented as described in whole by or embodied in the methods, apparatus, systems, computer program products, non-transitory computer-readable media, user equipment, base stations, network nodes, network entities, wireless communication devices and / or processing systems as fully described in the specification and drawings and illustrated in the specification and drawings.

[0029] The preceding paragraphs of this section have broadly summarized some aspects of this disclosure. These and additional aspects will be described below. The disclosed aspects may serve as the basis for modifying or designing other aspects for performing the same or similar purposes of this disclosure. Such equivalent aspects do not depart from the scope of the appended claims. The characteristics, organization, and methods of operation of the aspects disclosed herein will be better understood from the following description taken in conjunction with the accompanying drawings. Attached Figure Description

[0030] The accompanying drawings illustrate some aspects of this disclosure but do not limit its scope, as other aspects can be achieved by this description. Each drawing in the drawings is provided for illustrative and descriptive purposes and not as a definition of limitation of the claims. Identical or similar reference numerals in different drawings may identify identical or similar elements.

[0031] Figure 1 This is a diagram illustrating an example of a wireless communication network according to the present disclosure.

[0032] Figure 2 This is a diagram illustrating communication between an example network node and an example UE in a wireless network according to this disclosure.

[0033] Figure 3 This is a diagram illustrating an example decomposed base station architecture according to this disclosure.

[0034] Figure 4A and Figure 4B This is a diagram illustrating an example of data compression for channel state feedback according to this disclosure.

[0035] Figure 5A and Figure 5B This is a diagram illustrating an example of data compression using vector quantization and entropy decoding according to this disclosure.

[0036] Figures 6A to 6FThis is a diagram illustrating an example of a configuration associated with entropy decoding for channel state feedback according to this disclosure.

[0037] Figures 7 to 9 This is a diagram illustrating an example process performed, for example, at a user equipment (UE) or a device of the UE, according to this disclosure.

[0038] Figures 10 to 12 This is a diagram illustrating an example process performed, for example, at a network node or a device of a network node, according to the present disclosure.

[0039] Figure 13 This is a diagram of an example device for wireless communication according to the present disclosure.

[0040] Figure 14 This is a diagram illustrating an example of a hardware implementation of a device for employing a processing system according to the present disclosure.

[0041] Figures 15 to 17 The diagram illustrates an example of a specific implementation of code and circuitry for one or more devices according to this disclosure.

[0042] Figure 18 This is a diagram of an example device for wireless communication according to the present disclosure.

[0043] Figure 19 This is a diagram illustrating an example of a hardware implementation of a device for employing a processing system according to the present disclosure.

[0044] Figures 20 to 22 The diagram illustrates an example of a specific implementation of code and circuitry for one or more devices according to this disclosure. Detailed Implementation

[0045] In a wireless communication system, a network node can send a Channel State Information (CSI) Reference Signal (CSI-RS) to a User Equipment (UE), which can then perform measurements on the CSI-RS. For example, the UE can measure the received power of the CSI-RS (which can be in the form of a Reference Signal Received Power (RSRP) parameter), the received quality of the CSI-RS (which can be in the form of a Reference Signal Received Quality (RSRQ) parameter), or the Signal-to-Interference and Noise Ratio (SINR) of the CSI-RS (which can be in the form of a SINR parameter). The UE can use the CSI-RS measurements to estimate the downlink channel response and can report a set of CSI indicators to the network node. This set of CSI indicators may include a Rank Indicator (RI), a Pre-decoding Matrix Indicator (PMI), or a Channel Quality Indicator (CQI), etc. The network node can use the set of CSI indicators to collectively form a Channel State Feedback (CSF) message to configure subsequent transmissions on the downlink channel, such as by configuring the target code rate, modulation type, number of transmission layers, or pre-decoding matrix. Efficient communication can be achieved between the UE and the network node by estimating the downlink channel at the UE, reporting the estimation of the downlink channel to the network node, and configuring transmission on the downlink channel at the network node.

[0046] One improvement to the downlink channel estimation process is the use of data compression techniques to reduce the overhead associated with transmitting CSF. For example, the UE can process the downlink channel estimation to reduce the amount of CSI feedback data sent by the UE to the network node. UE processing can be in the form of encoding. Accordingly, the network node can receive the CSI feedback data and process the data-compressed CSI feedback data to recover the downlink channel estimation based on the data-compressed CSI feedback data. Network node processing can be in the form of decoding. In one data compression technique, the UE uses a codebook to select the optimal PMI codeword, which is a set of codewords representing possible PMI values, and the optimal PMI codeword represents the best-determined PMI value. The UE sends a bit sequence to report the optimal PMI codeword, and the network node recovers the optimal PMI codeword and the corresponding PMI value based on the bit sequence.

[0047] Artificial intelligence (AI)-based CSI feedback is another data compression technique that the UE can use. To perform AI-based CSI feedback, the UE can perform a vector quantization (VQ) process, where the values ​​of the CSI feedback data are divided into vectors, and these vectors are aligned with the codeword set of the quantization codebook. This reduces the CSF message data (which may include the values ​​of the CSI feedback data or values ​​derived from the CSI feedback data) to a set of codewords that can correspond to discrete binary values.

[0048] Another technique that the UE can execute for data compression is entropy decoding. Entropy decoding is a statistical compression technique in which lossless data compression is achieved using statistical mappings from values ​​in the underlying dataset to values ​​representing the underlying dataset. When performing entropy decoding (which may be referred to as "EC"), the UE estimates the probability matrix function (PMF) of random variables and uses the PMF to generate variable-length codewords as output. The PMF is a space {0, …, K-1 The discrete random variables on the input dataset are non-uniform and depend on which AI model is used for the encoder and the probability distribution of the input dataset (hyperlocal datasets correspond to different PMFs). Therefore, to achieve data compression for AI-based CSI feedback, the UE can perform entropy decoding to compress the bit sequence, from which the UE generates symbols associated with the quantization of the CSF message data. By performing data compression on the CSF message data, the UE reduces the overhead of transmitting symbol sequences, such as the overhead that occurs when transmitting CSF messages. By using entropy decoding as described below to achieve data compression, the UE achieves lossless data compression, thereby ensuring that network nodes can use CSF messages to generate communication configurations for the channel.

[0049] In one version of entropy decoding known as "Huffman decoding," the UE generates a lookup table of bit sequences corresponding to the input symbols it wants to transmit (input symbols correspond to bit sequences from the VQ procedure). The UE uses the lookup table to map the input symbols to be transmitted to bit sequences and transmits these bit sequences instead of the input symbols. The lookup table of bit sequences is ordered by frequency, where smaller bit sequences represent more frequently used symbols. The UE can use a codeword tree to derive the lookup table, where the location of the input symbols within the codeword tree corresponds to the frequency of the input symbols within the CSF message data. Therefore, the UE can map the most frequently used symbols to smaller bit sequences (and less frequently used symbols to larger bit sequences), thereby achieving data compression for transmission. The network node can reverse the mapping of symbols to bit sequences to recover the CSF message data. For example, in entropy decoding used for Huffman decoding, the network node can receive multiple bit sequences, use a lookup table to map the bit sequences to symbols, and use the mapping to decode the multiple bit sequences into symbols.

[0050] In another version of entropy decoding (known as "arithmetic decoding"), the UE encodes the entire message of multiple symbols into a single digit with finite precision corresponding to the number of bits used to represent a single digit. For example, using an arithmetic algorithm, each bit of the single digit can correspond to a different symbol in the CSF message data. The single digit can be a fraction within a configured range of numbers. By using an arithmetic algorithm, the UE encodes more frequently used symbols with fewer bits and less frequently used symbols with more bits, resulting in fewer bits used in total, thus achieving data compression. The UE can send an output sequence representing the single digit to transmit the CSF message data. During the corresponding entropy decoding process used for arithmetic decoding, network nodes can use an arithmetic algorithm to parse the single digit and recover the symbols of the CSF message data.

[0051] By combining vector quantization and entropy decoding, the UE can use vector quantization to quantize the encoder's output (latent vector). Z ), making Z Mapped to embedding vector Z embd (where the entries come from {0, …, K-1} ,in K (This refers to the codebook size). Entropy decoding can be applied to further compress the encoder's output. This enables the generation of a CSF report, which can be sent to the network node with a reduced data size relative to the uncompressed CSF report. On the decoder side, the network node receives the generated CSF report and performs entropy decoding. Using the result of entropy decoding, the network node performs vector dequantization to recover the CSF message data. The network node can use the recovered CSF message data to configure one or more channel parameters for subsequent communication.

[0052] When a network node performs the aforementioned process for decoding and recovering CSF messages, it can use one or more parameters or configurations to successfully obtain CSF message data from the encoded compressed CSF message. For example, the network node can use information indicating which version of entropy decoding has been used to determine whether to use a lookup table (as in Huffman decoding) or an arithmetic algorithm (as in arithmetic decoding) to convert the bit set into a symbol set from which the CSF message can be recovered. Similarly, to reverse the entropy decoding process, the network node can use an estimate of the probabilistic quality function (PMF) used by the UE to derive the codeword tree, as in Huffman decoding, or as a parameter of an arithmetic algorithm, as in arithmetic decoding. There may be many other implementation-specific or otherwise specified parameters used by the UE when encoding CSF message data, which the network node uses when decoding the CSF message data.

[0053] When the UE's encoder is out of sync with the network node's decoder—in other words, when the network node lacks information identifying the parameters used by the UE for encoding—the network node may fail or inaccurately recover CSF message data. Therefore, when the network node attempts to configure downlink transmission using CSF message data that has been unsuccessfully or inaccurately recovered, the network node may select parameters for downlink transmission that lead to inefficient use of channel resources and / or communication interruption.

[0054] Various aspects collectively involve configuring entropy decoding for CSF messages. Some aspects involve a network node that transmits information to the UE identifying the configuration of AI-based CSF reporting. For example, the network node may send Radio Resource Control (RRC) signaling that identifies the type of entropy decoding the UE is to perform or the PMF parameters used for the entropy decoding process. In some aspects, the network node may send RRC signaling that instructs the UE whether to apply entropy decoding as multiple entropy decoding processes to multi-layer VQ outputs (which may be CSF message data), or whether the UE wants to merge multi-layer VQ outputs and perform a single entropy decoding process on the merged VQ outputs. In some aspects, the network node may instruct the UE whether to send an indication of one or more parameters used for entropy decoding along with the message sending the entropy decoding. For example, the network node may command the UE to send an indication of the length of the entropy-decoded output that the network node can use for decoding.

[0055] In some aspects, network nodes may send indications of whether entropy decoding is activated or deactivated. For example, a UE may have the ability to adaptively use entropy decoding or switch to using another technology, and the network node may send indications of when and which technology to use. In some aspects, network nodes may send indications of the maximum payload size for CSI reports. For example, a network node may configure a UE such that when the UE determines that the maximum payload size has been exceeded, the UE can be configured to switch from using entropy decoding to not using entropy decoding. In some aspects, network nodes may send indications of the payload structure of CSF messages encoded using entropy decoding. For example, a network node may instruct the UE to send a message of a first type with a first format or a message of a second type with a second format. In this example, the first format may have a first set of fields for the UE to transmit configurations for entropy decoding (EC decoding), and the second format may have a second set of fields for the UE to transmit configurations for EC decoding. Examples of field types may include fields for identifying the length of the entropy decoding output or whether entropy decoding has been bypassed.

[0056] Specific aspects of the subject matter described in this disclosure can be implemented to achieve one or more of the following potential improvements. In some examples, by sending configuration information via a network node, the described techniques can be used to synchronize the UE's encoder with the network node's decoder. By synchronizing the UE's encoder with the network node's decoder, the UE and the network node can perform lossless entropy decoding and decoding. In some examples, by sending a CSF message with a configured payload (which includes one or more parameters associated with entropy decoding) via the UE, the described techniques can be used to ensure that the network node's decoder is synchronized with the UE's encoder. In some examples, by synchronizing the network node's decoder with the UE's encoder, the described techniques can be used to successfully recover CSF feedback at the network node and configure subsequent transmissions on the downlink channel for efficient use of channel resources. In some examples, by sending configuration information via a network node and / or sending a CSF message with a configured payload via the UE, the described techniques can be used to allow successful entropy decoding and decoding of CSF feedback, which reduces the overhead associated with CSF message transmission. In some examples, by reducing overhead via the network node and / or the UE, the network node and / or the UE make channel resources available for other communications.

[0057] Various aspects of this disclosure are described below with reference to the accompanying drawings. However, aspects of this disclosure may be embodied in many different forms and should not be construed as limited to any specific aspect illustrated or described with reference to the drawings or otherwise presented in this disclosure. Rather, these aspects are provided so that this disclosure will be comprehensive and complete, and will fully convey the scope of protection of this disclosure to those skilled in the art. Those skilled in the art will understand that the scope of this disclosure is intended to cover any aspect of this disclosure disclosed herein, whether implemented independently of or in combination with any other aspect of this disclosure. For example, various combinations or numbers of aspects set forth herein may be used to implement an apparatus or a practice. Furthermore, the scope of this disclosure is intended to cover apparatuses having structures and / or functionalities other than those available for practicing the various aspects of this disclosure set forth herein, or methods practiced using these other structures and / or functionalities. Any aspect of this disclosure disclosed herein may be embodied by one or more elements of the claims.

[0058] Various methods, operations, apparatuses, and techniques will now be presented with reference to them. These methods, operations, apparatuses, and techniques will be described in detail below and illustrated in the accompanying drawings by various blocks, modules, components, circuits, steps, processes, or algorithms (collectively, “elements”). These elements may be implemented using hardware, software, or a combination of hardware and software. Whether these elements are implemented as hardware or software depends on the specific application and the design constraints imposed on the system as a whole.

[0059] Multiple access radio access technology (RAT) has been adopted in various telecommunications standards to provide a common protocol that enables wireless communication devices to communicate at the city, enterprise, national, regional, or global level. For example, 5G New Radio (NR) is part of the continuous mobile broadband evolution program released by the 3rd Generation Partnership Project (3GPP). 5G NR supports a variety of technologies and use cases, including enhanced mobile broadband (eMBB), ultra-reliable low-latency communication (URLLC), massive machine-type communication (mMTC), millimeter wave (mmWave) technology, beamforming, network slicing, edge computing, Internet of Things (IoT) connectivity and management, and network function virtualization (NFV).

[0060] With increasing demand for broadband access and the evolution of technologies supported by wireless communication networks, further technological improvements can be adopted or implemented in 5G NR or future RATs (such as 6G) to further advance the evolution of wireless communication for a variety of existing and new use cases and applications. Such technological improvements may be associated with: new frequency band extensions, licensed and unlicensed spectrum access, overlapping spectrum use, small cell deployments, non-terrestrial network (NTN) deployments, decomposed network architectures and network topology extensions, device aggregation, advanced duplex communication, sidelinks and other device-to-device direct communication, IoT (including passive or ambient IoT) networks, reduced-capacity (RedCap) UE functionality, industrial connectivity, multi-subscriber implementations, high-precision positioning, radio frequency (RF) sensing and / or artificial intelligence or machine learning (AI / ML), etc. These technological improvements can support use cases such as wireless backhaul, wireless data centers, extended reality (XR) and metaverse applications, meta-services for supporting vehicle connectivity, holographic and mixed reality communications, autonomous and collaborative robots, vehicle platooning and collaborative manipulation, sensor networks, posture monitoring, brain-computer interfaces, digital twin applications, asset management, and general coverage applications using off-ground and / or aerial platforms. The methods, operations, apparatuses, and techniques described herein can implement one or more of the foregoing technologies and / or support one or more of the foregoing use cases.

[0061] Figure 1This is a diagram illustrating an example of a wireless communication network 100 according to the present disclosure. The wireless communication network 100 may be a 5G (or NR) network or a 6G network, or may include elements of a 5G (or NR) network or a 6G network, etc. The wireless communication network 100 may include a plurality of network nodes 110, shown as network node (NN) 110a, network node 110b, network node 110c, and network node 110d. Network nodes 110 may support communication with a plurality of UEs 120 (shown as UE 120a, UE 120b, UE 120c, UE 120d, and UE 120e).

[0062] Network nodes 110 and UEs 120 of wireless communication network 100 can communicate using the electromagnetic spectrum, which can be subdivided into various categories, frequency bands, carriers, and / or channels according to frequency or wavelength. For example, devices of wireless communication network 100 can communicate using one or more operating frequency bands. In some aspects, multiple wireless networks 100 can be deployed in a given geographical area. Each wireless communication network 100 can support a specific RAT (which may also be referred to as an air interface) and can operate on one or more carrier frequencies in one or more frequency ranges. Examples of RATs include 4G RATs, 5G / NRRATs, and / or 6G RATs, etc. In some examples, when multiple RATs are deployed in a given geographical area, each RAT in that geographical area can operate on a different frequency to avoid interference with each other.

[0063] Various operating frequency bands have been defined as frequency ranges designated FR1 (410 MHz to 7.125 GHz), FR2 (24.25 GHz to 52.6 GHz), FR3 (7.125 GHz to 24.25 GHz), FR4a or FR4-1 (52.6 GHz to 71 GHz), FR4 (52.6 GHz to 114.25 GHz), and FR5 (114.25 GHz to 300 GHz). Although a portion of FR1 is greater than 6 GHz, in some documents and articles, FR1 is often (interchangeably) referred to as the “sub-6 GHz” band. Similarly, in some documents and articles, FR2 is often (interchangeably) referred to as the “millimeter wave” band, but this is different from the Very High Frequency (EHF) band (30 GHz to 300 GHz) identified as the “millimeter wave” band by the International Telecommunication Union (ITU). The frequencies between FR1 and FR2 are often referred to as the mid-band frequencies, including FR3. Frequency bands falling within FR3 can inherit FR1 or FR2 characteristics, thereby effectively extending the characteristics of FR1 or FR2 into mid-band frequencies. Therefore, "below 6 GHz" (if used herein) can broadly refer to frequencies less than 6 GHz, within FR1, and / or included in mid-band frequencies. Similarly, the term "millimeter wave" (if used herein) can broadly refer to frequencies included in mid-band frequencies, within FR2, FR4, FR4-a, FR4-1, or FR5, and / or within the EHF band. Higher frequency bands can extend 5G NR operation, 6G operation, and / or other RATs above 52.6 GHz. For example, each of FR4a, FR4-1, FR4, and FR5 falls within the EHF band. In some examples, the wireless communication network 100 can implement dynamic spectrum sharing (DSS), where multiple RATs (e.g., 4G / LTE and 5G / NR) are implemented within a single frequency band using dynamic bandwidth allocation (e.g., based on user demand). It is conceivable that the frequencies included in these operating frequency bands (e.g., FR1, FR2, FR3, FR4, FR4-a, FR4-1 and / or FR5) can be modified, and the techniques described herein are applicable to those modified frequency ranges.

[0064] Network node 110 may include one or more devices, components, or systems that enable communication between UE 120 and one or more devices, components, or systems of wireless communication network 100. Network node 110 may be, may include, or may be referred to as an NR network node, 5G network node, 6G network node, node B, eNB, gNB, access point (AP), transmit / receive point (TRP), mobility element, core, network entity, network element, network equipment, and / or another type of device, component, or system included in a radio access network (RAN).

[0065] Network node 110 may be implemented as a single physical node (e.g., a single physical structure) or as two or more physical nodes (e.g., two or more different physical structures). For example, network node 110 may be a device or system implementing a portion of a radio protocol stack, a device or system implementing a complete radio protocol stack (such as a complete gNB protocol stack), or a collection of devices or systems collectively implementing a complete radio protocol stack. For example, and as shown, network node 110 may be an aggregated network node (with an aggregated architecture), meaning that network node 110 can implement a complete radio protocol stack physically and logically integrated within a single node (e.g., a single physical structure) in the wireless communication network 100. For example, aggregated network node 110 may consist of a single standalone base station or a single TRP that uses the complete radio protocol stack to implement or facilitate communication between UE 120 and the core network of wireless communication network 100.

[0066] Alternatively, and also as shown in the figure, network node 110 can be a decomposed network node (sometimes referred to as a decomposed base station), meaning that network node 110 can realize a radio protocol stack that is physically distributed and / or logically distributed among two or more nodes in the same or different geographical locations. For example, a decomposed network node may have a decomposed architecture. In some deployments, decomposed network node 110 may be used in integrated access and backhaul (IAB) networks, in open radio access networks (O-RAN) (such as networks conforming to the O-RAN Alliance), or in virtualized radio access networks (vRAN) (also referred to as cloud radio access networks (C-RAN)) to facilitate scaling by decomposing base station functionality into multiple units that can be deployed independently.

[0067] Network nodes 110 of wireless communication network 100 may include one or more central units (CUs), one or more distributed units (DUs), and / or one or more radio units (RUs). CUs may host one or more higher-layer control functions, such as RRC functions, Packet Data Convergence Protocol (PDCP) functions, and / or Service Data Adaptation Protocol (SDAP) functions, etc. DUs may host one or more of the Radio Link Control (RLC) layer, Media Access Control (MAC) layer, and / or one or more higher physical (PHY) layers, at least in part, according to functional splits (such as functional splits defined by 3GPP). In some examples, DUs may also host one or more lower PHY layer functions, such as Fast Fourier Transform (FFT), Inverse FFT (iFFT), beamforming, Physical Random Access Channel (PRACH) extraction and filtering, and / or scheduling of resources for one or more UEs 120, etc. RUs may host RF processing functions or lower PHY layer functions, such as FFT, iFFT, beamforming, or PRACH extraction and filtering, etc., according to functional splits (such as lower-layer functional splits). In this type of architecture, each RU can be operated to handle over-the-air (OTA) communications with one or more UE 120s.

[0068] In some aspects, network node 110 may include a combination of one or more CUs, one or more DUs, and / or one or more RUs. Additionally or alternatively, network node 110 may include one or more near real-time (near RT) RAN Intelligent Controllers (RICs) and / or one or more non-real-time (non-RT) RICs. In some examples, CUs, DUs, and / or RUs may be implemented as virtual units, such as Virtual Central Units (VCUs), Virtual Distributed Units (VDUs), or Virtual Radio Units (VRUs), etc. Virtual units may be implemented as virtual network functions, such as those associated with cloud deployments.

[0069] Some network nodes 110 (e.g., base stations, RUs, or TRPs) can provide communication coverage for specific geographic areas. In 3GPP, the term "cell" can refer to the coverage area of ​​network node 110 or to network node 110 itself, depending on the context in which the term is used. Network node 110 can support one or more (e.g., three) cells. In some examples, network node 110 can provide communication coverage for macro cells, pico cells, femto cells, or another type of cell. A macro cell can cover a relatively large geographic area (e.g., a radius of several kilometers) and can allow unrestricted access by UE 120 with a service subscription. A pico cell can cover a relatively small geographic area and can allow unrestricted access by UE 120 with a service subscription. A femto cell can cover a relatively small geographic area (e.g., a residential area) and can allow restricted access by UE 120 associated with that femto cell (e.g., UE 120 in a Closed Subscriber Group (CSG)). The network node 110 used for a macro cell may be referred to as a macro network node. Network node 110 used for a pico cell may be referred to as a pico network node. Network node 110 used for a femtocell may be referred to as a femto network node or a home network node. In some examples, the cell may not necessarily be stationary. For example, the geographical area of ​​the cell may be mobile based on the location of the associated mobile network node 110 (e.g., a train, satellite base station, unmanned aerial vehicle, or non-terrestrial network (NTN) network node).

[0070] The wireless communication network 100 can be a heterogeneous network, comprising different types of network nodes 110, such as macro network nodes, piconet nodes, femtonet nodes, relay network nodes, aggregation network nodes, and / or decomposition network nodes, etc. Figure 1 In the example shown, network node 110a can be a macro network node for macro cell 130a, network node 110b can be a pico network node for pico cell 130b, and network node 110c can be a femto network node for femto cell 130c. Compared to other types of network nodes 110, the various types of network nodes 110 typically transmit at different power levels, serve different coverage areas, and / or have different effects on interference in the wireless communication network 100. For example, macro network nodes can have high transmit power levels (e.g., 5 watts to 40 watts), while pico network nodes, femto network nodes, and relay network nodes can have lower transmit power levels (e.g., 0.1 watts to 2 watts).

[0071] In some examples, network node 110 may be, may include, or operate as a RU, TRP, or base station communicating with one or more UEs 120 via a radio access link (which may be referred to as a "Uu" link). The radio access link may include a downlink and an uplink. A "downlink" (or "DL") refers to the communication direction from network node 110 to UE 120, and an "uplink" (or "UL") refers to the communication direction from UE 120 to network node 110. Downlink channels may include one or more control channels and one or more data channels. Downlink control channels may be used to transmit downlink control information (DCI) (e.g., scheduling information, reference signals, and / or configuration information) from network node 110 to UE 120. Downlink data channels may be used to transmit downlink data (e.g., user data associated with UE 120) from network node 110 to UE 120. Downlink control channels may include one or more physical downlink control channels (PDCCH), and downlink data channels may include one or more physical downlink shared channels (PDSCH). The uplink channel may similarly include one or more control channels and one or more data channels. The uplink control channel can be used to transmit uplink control information (UCI) from UE 120 to network node 110 (e.g., transmitting corresponding reference signals and / or feedback with one or more downlinks). The uplink data channel can be used to transmit uplink data (e.g., user data associated with UE 120) from UE 120 to network node 110. The uplink control channel may include one or more physical uplink control channels (PUCCH), and the uplink data channel may include one or more physical uplink shared channels (PUSCH). The downlink and uplink may each include a set of resources on which network node 110 and UE 120 can communicate.

[0072] Downlink and uplink resources may include time-domain resources (frames, subframes, time slots, and / or symbols), frequency-domain resources (bands, component carriers, subcarriers, resource blocks, and / or resource elements), and / or spatial-domain resources (specific transmission directions and / or beam parameters). Frequency-domain resources in some bands may be subdivided into bandwidth portions (BWPs). A BWP may be a contiguous block of frequency-domain resources allocated to one or more UEs 120 (e.g., a contiguous block of resource blocks). A UE 120 may be configured with both an uplink BWP and a downlink BWP (where the uplink BWP and downlink BWP may be the same BWP or different BWPs). BWPs may be dynamically configured and / or reconfigured (e.g., by sending DCI configuration to one or more UEs 120 via network node 110), meaning that BWPs may be adjusted in real-time (or near real-time) based on changing network conditions in the wireless communication network 100 and / or based on the specific requirements of one or more UEs 120. This allows for more efficient use of available frequency domain resources in the wireless communication network 100, as fewer frequency domain resources can be allocated to the BWP for UE 120 (which reduces the number of frequency domain resources that UE 120 needs to monitor), thus allowing more frequency domain resources to be distributed across multiple UE 120s. Therefore, the BWP can also assist in the implementation of such UE 120s by facilitating the configuration of smaller bandwidths for communications performed by lower-capacity UE 120s.

[0073] As described above, in some aspects, the wireless communication network 100 may be an IAB network, may include an IAB network, or may be included in an IAB network. In an IAB network, at least one network node 110 is an anchor network node communicating with a core network. The anchor network node 110 may also be referred to as an IAB donor (or "IAB donor"). The anchor network node 110 may be connected to the core network via a wired backhaul link. For example, the Ng interface of the anchor network node 110 may terminate at the core network. Additionally or alternatively, the anchor network node 110 may be connected to one or more devices in the core network that provide core access and mobility management functions (AMF). An IAB network typically also includes multiple non-anchor network nodes 110, which may also be referred to as relay network nodes or simply IAB nodes (or "IAB-nodes"). Each non-anchor network node 110 can directly communicate with the anchor network node 110 via a wireless backhaul link to access the core network, or can indirectly communicate with the anchor network node 110 via one or more other non-anchor network nodes 110 and an associated wireless backhaul link forming a backhaul path to the core network. Some anchor network nodes 110 or other non-anchor network nodes 110 can also directly communicate with one or more UEs 120 via a wireless access link carrying access services. For example, network resources used for wireless communication (such as time resources, frequency resources, and / or spatial resources) can be shared between the access link and the backhaul link.

[0074] In some examples, any network node 110 relaying communication may be referred to as a relay network node, a relay station, or simply a repeater. A repeater may receive communications from an upstream station (e.g., another network node 110 or UE 120) and transmit communications to a downstream station (e.g., UE 120 or another network node 110). The wireless communication network 100 may include or be referred to as a "multi-hop network." Figure 1 In the example shown, network node 110d (e.g., a relay network node) can communicate with network node 110a (e.g., a macro network node) and UE 120d to facilitate communication between network node 110a and UE 120d. Additionally or alternatively, UE 120 can be a relay station capable of relaying transmissions to or from other UE 120s, or can operate as such a relay station. UE 120 relaying communication can be referred to as a UE repeater or relay UE, etc.

[0075] UE 120 may be physically distributed throughout the wireless communication network 100, and each UE 120 may be stationary or mobile. UE 120 may be, may include, an access terminal, another terminal, a mobile station, or a subscriber unit, or may be included in an access terminal, another terminal, a mobile station, or a subscriber unit. UE 120 may be, or may include, a cellular phone (e.g., a smartphone), a personal digital assistant (PDA), a wireless modem, a wireless communication device, a handheld device, a laptop computer, a cordless phone, a wireless local loop (WLL) station, a tablet computer, a camera, a gaming device, a netbook, a smartbook, an ultrabook, a medical device, a biometric device, a wearable device (e.g., a smartwatch, smart clothing, smart glasses, a smart wristband and / or smart jewelry (such as a smart ring or smart bracelet)), an entertainment device (e.g., a music device, a video device and / or a satellite radio), an extended reality (XR) device, a vehicle component or sensor, a smart meter or sensor, industrial manufacturing equipment, a Global Navigation Satellite System (GNSS) device (such as a Global Positioning System device or another type of positioning device), a UE function of a network node, and / or any other suitable device or function that can communicate via a wireless medium, or may be coupled to them.

[0076] UE 120 and / or network node 110 may include one or more chips, system-on-a-chip (SoC), chipsets, packages, or devices that individually or collectively constitute or include a processing system. The processing system includes processor (or “processing”) circuitry in the form of one or more processors, microprocessors, processing units (such as central processing units (CPUs), graphics processing units (GPUs), neural processing units (NPUs), and / or digital signal processors (DSPs)), processing blocks, application-specific integrated circuits (ASICs), programmable logic devices (PLDs) (such as field-programmable gate arrays (FPGAs)), or other discrete gate or transistor logic components or circuits (all of which are generally referred to herein individually as “processors” or collectively as “processors” or “processor circuitry”). Processors may also be implemented as a combination of computing devices, such as a combination of a DSP and a microprocessor, multiple microprocessors, a combination of one or more microprocessors with a DSP core, or any other such configuration. One or more of these processors may be individually or collectively configured to perform the various functions or operations described herein. A group of processors that can be configured or configured to perform a set of functions may include a first processor that can be configured or configured to perform a first function in the set, and a second processor that can be configured or configured to perform a second function in the set, or may include the entire group of processors that are configured or configured to perform the set of functions.

[0077] The processing system may also include memory circuitry in the form of one or more memory devices, memory blocks, memory elements, or other discrete gate or transistor logic components or circuits, each of which may include tangible storage media such as random access memory (RAM) or read-only memory (ROM) or combinations thereof (all of which are generally referred to herein individually as "memory" or collectively as "memory" or "memory circuitry"). One or more of these memories may be coupled to one or more processors in the processor (e.g., operatively coupled, communicatively coupled, electronically coupled, or electrically coupled) and may store processor-executable code (such as software) individually or collectively, which, when executed by one or more processors in the processor, may configure one or more processors in the processor to perform the various functions or operations described herein. Additionally or alternatively, in some examples, one or more processors in the processor may be pre-configured to perform the various functions or operations described herein without being configured by software. The processing system may also include or be coupled to one or more modems (such as Wi-Fi (e.g., IEEE compliant) modems or cellular (e.g., 3GPP 4G LTE, 5G, or 6G compliant) modems). In some embodiments, one or more processors of the processing system include or implement one or more modems among the modems. The processing system may also include, or be coupled to, multiple radio components (collectively, “radio components”), multiple RF chains, or multiple transceivers, each of which may in turn be coupled to one or more antennas among multiple antennas. In some embodiments, one or more processors of the processing system include or implement one or more of the radio components, RF chains, or transceivers. UE 120 may be included or may be contained in a housing that houses components associated with UE 120, including the processing system.

[0078] Some UEs 120 may be considered Machine Type Communication (MTC) UEs, or evolved or enhanced Machine Type Communication (eMTC) UEs (further enhanced eMTC (feMTC) UEs, or enhanced feMTC (efeMTC) UEs, or further evolutions thereof, all of which may be referred to simply as "MTC UEs"). An MTC UE may be, may include, or may be included in or coupled with the following: robots, unmanned aerial vehicles or drones, remote devices, sensors, meters, monitors, and / or location tags. Some UEs 120 may be considered IoT devices and / or may be implemented as NB-IoT (Narrowband IoT) devices. IoT UEs or NB-IoT devices may be, may include, or may be included in or coupled with the following: industrial machines, appliances, refrigerators, doorbell camera devices, home automation devices, and / or lighting fixtures, etc. Some UEs 120 may be considered customer premises equipment, which may include telecommunications equipment installed at a customer location (such as a home or office) to enable access to a service provider’s network (such as being included in or communicating with the wireless communication network 100).

[0079] Some UEs 120 can be categorized according to different categories associated with varying levels of complexity and / or capabilities. UEs 120 in the first category facilitate large-scale IoT within the wireless communication network 100 and offer lower complexity and / or cost compared to UEs 120 in the second category. UEs 120 in the second category may include mission-critical IoT devices, legacy UEs, baseline UEs, high-level UEs, advanced UEs, full-capability UEs, and / or premium UEs capable of ultra-reliable low-latency communication (URLLC), enhanced mobile broadband (eMBB), and / or precise positioning, etc., within the wireless communication network 100. UEs 120 in the third category may have intermediate-level complexity and / or capabilities (e.g., capabilities between UEs 120 in the first category and UEs 120 in the second category). UEs 120 in the third category may be referred to as reduced-capability UEs (“RedCap UEs”), intermediate-level UEs, NR lightweight UEs, and / or NR simplified UEs, etc. RedCap UEs bridge the gap in capabilities and complexity between NB-IoT devices and / or eMTC UEs and mission-critical IoT devices and / or premium UEs. RedCap UEs can include, for example, wearable devices, IoT devices, industrial sensors, and / or cameras associated with limited bandwidth, power capacity, and / or transmission range. RedCap UEs can support healthcare environments, building automation, power distribution, process automation, transportation and logistics, and / or smart city deployments, among others.

[0080] In some examples, two or more UEs 120 (e.g., shown as UE 120a and UE 120e) can communicate directly with each other using sidelink communication (e.g., without communicating through a network node 110 acting as an intermediary). As an example, UE 120a can directly send data, control information, or other signaling to UE 120e as sidelink communication. This contrasts with, for example, UE 120a first sending data to network node 110 in UL communication, and then that network node sending data to UE 120e in DL communication. In various examples, UE 120 can use the following to send and receive sidelink communication: peer-to-peer (P2P) communication protocols, device-to-device (D2D) communication protocols, vehicle-to-everything (V2X) communication protocols (which may include vehicle-to-vehicle (V2V) protocols, vehicle-to-infrastructure (V2I) protocols, and / or vehicle-to-pedestrian (V2P) protocols), and / or mesh network communication protocols. In some deployments and configurations, network node 110 may schedule and / or allocate resources for sidelink communication between UEs 120 in the wireless communication network 100. In some other deployments and configurations, UE 120 (instead of network node 110) may perform or cooperate with or negotiate with one or more other UEs to perform scheduling operations, resource selection operations, and / or other operations for sidelink communication.

[0081] In some examples, as shown by reference numeral 190, UE 120a may receive configuration information or CSI-RS from network node 110a. For example, UE 120a may receive configuration information that identifies the resource set for receiving CSI-RS and / or the configuration for CSF messages generated using measurements from CSI-RS. In some examples, as shown by reference numeral 192, UE 120a may send CSF messages to network node 110a. For example, UE 120a may generate CSF messages and encode the content of the CSF messages using compression techniques such as vector quantization and / or entropy decoding. In this example, UE 120a sends CSF messages to network node 110a, which may decode the content of the CSF messages to configure subsequent communication with UE 120a.

[0082] In various examples, in addition to half-duplex operation, some network nodes and UEs in the wireless communication network 100, including network node 110 and UE 120, can also be configured for full-duplex operation. Network node 110 or UE 120 operating in half-duplex mode can perform only one of transmission or reception during a specific time resource period (such as a specific time slot, symbol, or other time period). Half-duplex operation may involve time division duplex (TDD), where the DL transmission of network node 110 and the UL transmission of UE 120 do not occur in the same time resource (i.e., the transmissions do not overlap in time). In contrast, network node 110 or UE 120 operating in full-duplex mode can transmit and receive communications concurrently (e.g., within the same time resource). By operating in full-duplex mode, network node 110 and / or UE 120 can generally increase the capacity of the network and radio access links. In some examples, full-duplex operation may involve frequency division duplex (FDD), in which network node 110 performs DL transmission in a first frequency band or on a first component carrier, and UE 120 performs transmission in a second frequency band or on a second component carrier, the second frequency band or the second component carrier being different from the first frequency band or the first component carrier, respectively. In some examples, full-duplex operation may be enabled for UE 120 but not for network node 110. For example, UE 120 may simultaneously transmit UL to the first network node 110 and receive DL transmissions from the second network node 110 in the same time resources. In some other examples, full-duplex operation may be enabled for network node 110 but not for UE 120. For example, network node 110 may simultaneously transmit DL to the first UE 120 and receive UL transmissions from the second UE 120 in the same time resources. In some other examples, full-duplex operation may be enabled for both network node 110 and UE 120.

[0083] In some examples, UE 120 and network node 110 can perform MIMO communication. "MIMO" generally refers to the simultaneous transmission or reception of multiple signals (such as multiple layers or multiple data streams) using the same time and frequency resources. MIMO techniques typically utilize multipath propagation. MIMO can be implemented using various spatial processing or spatial multiplexing operations. In some examples, MIMO can support simultaneous transmission to multiple receivers, which is called multi-user MIMO (MU-MIMO). Some RATs can employ advanced MIMO techniques such as mTRP operations (including redundant transmission or reception on multiple TRPs), reciprocity in the time or frequency domain, single-frequency network (SFN) transmission, or noncoherent joint transmission (NC-JT).

[0084] In some aspects, UE 120 may include a communication manager 140. As described in more detail elsewhere herein, the communication manager 140 may: receive entropy decoding configuration information identifying one or more fields to be included in the payload of a CSF message for transmitting entropy-decoded CSF; and send a CSF message for transmitting entropy-decoded CSF, the CSF message including one or more fields according to the entropy decoding configuration information. Additionally or alternatively, the communication manager 140 may: receive entropy decoding configuration information identifying one or more parameters for transmitting the CSF message for transmitting entropy-decoded CSF, wherein the one or more parameters include parameters identifying at least one of: an entropy decoding algorithm, a probability mass function, whether the probability mass function is used on entries of the embedding vector, or a combination thereof; and send the CSF message for transmitting entropy-decoded CSF according to the one or more parameters. Additionally or alternatively, the communication manager 140 may: receive entropy decoding configuration information identifying a set of parameters for transmitting CSF messages of entropy-decoded CSF, wherein the parameter set includes a payload size parameter; and transmit CSF messages for transmitting entropy-decoded CSF according to the parameter set. Additionally or alternatively, the communication manager 140 may perform one or more other operations described herein.

[0085] In some aspects, network node 110 may include communication manager 150. As described in more detail elsewhere herein, communication manager 150 may: send entropy decoding configuration information identifying one or more fields for inclusion in the payload of a CSF message transmitting entropy-decoded CSF; and receive a CSF message transmitting entropy-decoded CSF, the CSF message including one or more fields according to the entropy decoding configuration information. Additionally or alternatively, communication manager 150 may: send entropy decoding configuration information identifying one or more parameters for transmitting a CSF message transmitting entropy-decoded CSF, wherein the one or more parameters include parameters identifying at least one of: an entropy decoding algorithm, a probability mass function, whether the probability mass function is used on entries of the embedding vector, or a combination thereof; and receive a CSF message transmitting entropy-decoded CSF according to the one or more parameters. Additionally or alternatively, the communication manager 150 may: send entropy decoding configuration information identifying a set of parameters for transmitting CSF messages of entropy-decoded CSF, wherein the parameter set includes a payload size parameter; and receive CSF messages of entropy-decoded CSF according to the parameter set. Additionally or alternatively, the communication manager 150 may perform one or more other operations described herein.

[0086] As indicated above, Figure 1 This is provided as an example. Other examples are available with reference to [the relevant information]. Figure 1 The examples described are different.

[0087] Figure 2 This is a diagram illustrating an example network node 110 communicating with an example UE 120 in a wireless network according to the present disclosure.

[0088] like Figure 2 As shown, network node 110 may include a data source 212, a transmit processor 214, a transmit (TX) MIMO processor 216, a set of modems 232 (shown as 232a to 232t, where t≥1), a set of antennas 234 (shown as 234a to 234v, where v≥1), a MIMO detector 236, a receive processor 238, a data sink 239, a controller / processor 240, a memory 242, a communication unit 244, a scheduler 246, and / or a communication manager 150, etc. In some configurations, one or a combination of antennas 234, modems 232, MIMO detectors 236, receive processors 238, transmit processors 214, and / or TX MIMO processors 216 may be included in the transceiver of network node 110. The transceiver may be under the control of and used by one or more processors (such as controller / processor 240), and in some respects, may perform aspects of the methods, procedures and / or operations described herein in conjunction with processor-readable code stored in memory 242. In some respects, network node 110 may include one or more interfaces, communication components and / or other components that facilitate communication with UE 120 or another network node.

[0089] The terms “processor,” “controller,” or “controller / processor” can refer to one or more controllers and / or one or more processors. For example, references to “a / the processor,” “a / the controller / processor,” etc. (in the singular) should be understood as referring to a combination of… Figure 2 The processor described refers to any one or more processors, such as a single processor or a combination of multiple different processors. The reference to "one or more processors" should be understood as a combination of references. Figure 2 Any one or more processors described herein. For example, one or more processors of network node 110 may include transmit processor 214, TX MIMO processor 216, MIMO detector 236, receive processor 238, and / or controller / processor 240. Similarly, one or more processors of UE 120 may include MIMO detector 256, receive processor 258, transmit processor 264, TX MIMO processor 266, and / or controller / processor 280.

[0090] In some aspects, a single processor can perform all operations described as being performed by one or more processors. In some aspects, a first set of one or more processors can perform a first operation described as being performed by that one or more processors, and a second set of one or more processors can perform a second operation described as being performed by that one or more processors. The first set of processors and the second set of processors can be the same set of processors or can be different sets of processors. The reference to "one or more memories" should be understood to refer to any one or more memories of the corresponding device, such as those in combination. Figure 2 The memory described. For example, an operation described as being performed by one or more memories can be performed by the same subset of the one or more memories or by different subsets of the one or more memories.

[0091] For downlink communication from network node 110 to UE 120, transmitting processor 214 may receive data (“downlink data”) intended for use by UE 120 (or a set of UEs including UE 120) from data source 212 (such as a data pipeline or data queue). In some examples, transmitting processor 214 may select one or more MCSs for UE 120 based on one or more CQIs received from UE 120. Network node 110 may process the data (e.g., including encoding the data) based on the MCS selected for UE 120 for transmission to UE 120 on the downlink, thereby generating data symbols. Transmitting processor 214 may process system information (e.g., semi-static resource partitioning information (SRPI)) and / or control information (e.g., CQI requests, grants, and / or upper-layer signaling) and provide overhead symbols and / or control symbols. The transmitting processor 214 can generate reference symbols for reference signals (e.g., cell-specific reference signal (CRS), demodulation reference signal (DMRS), or CSI-RS) and / or synchronization signals (e.g., primary synchronization signal (PSS) or secondary synchronization signal (SSS)).

[0092] The TX MIMO processor 216 can perform space processing (e.g., pre-decoding) on ​​data symbols, control symbols, overhead symbols, and / or reference symbols where applicable, and can output a set of symbol streams (e.g., TA set of output symbol streams is provided to modem 232. For example, each output symbol stream may be provided to a corresponding modulator component (shown as MOD) of modem 232. Each modem 232 may use the corresponding modulator component to process (e.g., modulate) the corresponding output symbol stream (e.g., for orthogonal frequency division multiplexing (OFDM)) to obtain an output sample stream. Each modem 232 may further use the corresponding modulator component to process (e.g., convert to analog, amplify, filter, and / or upconvert) the output sample stream to obtain a time-domain downlink signal. Modems 232a to 232t may transmit the set of downlink signals (e.g., via a set of corresponding antennas 234) together. T (One downlink signal).

[0093] Downlink signals may include DCI communication, MAC control element (MAC-CE) communication, RRC communication, downlink reference signals, or another type of downlink communication. Downlink signals may be transmitted on the PDCCH, PDSCH, and / or on another downlink channel. Downlink signals may carry one or more transport blocks (TBs) of data. A TB may be a data unit transmitted via the air interface in the wireless communication network 100. A data stream (e.g., from data source 212) may be encoded into multiple TBs for transmission via the air interface. The number of TBs used to carry data associated with a particular data stream may be associated with a TB size shared by multiple TBs. The TB size may be based on the radio channel conditions of the air interface, the MCS used to encode the data, downlink resources allocated for transmitting data, and / or other parameters, or otherwise associated with them. Generally, a larger TB size allows for a larger amount of data to be transmitted in a single transmission, reducing signaling overhead. However, a larger TB size may be more prone to transmission and / or reception errors than a smaller TB size, but such errors can be mitigated through more robust error correction techniques.

[0094] For uplink communication from UE 120 to network node 110, the uplink signal from UE 120 may be received by antenna 234, processed by modem 232 (e.g., demodulator component of modem 232, shown as DEMOD), detected where applicable by MIMO detector 236 (e.g., receive (Rx) MIMO processor), and / or further processed by receive processor 238 to obtain decoded data and / or control information. Receive processor 238 may provide the decoded data to data sink 239 (which may be a data pipeline, data queue, and / or another type of data sink) and provide the decoded control information to processors such as controller / processor 240.

[0095] Network node 110 may use scheduler 246 to schedule one or more UEs 120 for downlink or uplink communication. In some aspects, scheduler 246 may use DCI to dynamically schedule DL transmissions to and / or UL transmissions from UE 120. In some examples, scheduler 246 may allocate repetitive time-domain and / or frequency-domain resources that UE 120 may use to transmit and / or receive communication using RRC configuration (e.g., semi-static configuration), for example, to perform semi-persistent scheduling (SPS) or to configure configuration grant (CG) for UE 120.

[0096] One or more of the following may be included in the RF chain of network node 110: transmit processor 214, TX MIMO processor 216, modem 232, antenna 234, MIMO detector 236, receive processor 238, and / or controller / processor 240. The RF chain may include one or more filters, mixers, oscillators, amplifiers, analog-to-digital converters (ADCs), and / or other devices for converting analog signals (such as those used for transmission or reception via an air interface) to digital signals (such as those used for processing by one or more processors of network node 110). In some aspects, the RF chain may be a transceiver of network node 110, or may be included in such a transceiver.

[0097] In some examples, network node 110 may use communication unit 244 to communicate with the core network and / or other network nodes. Communication unit 244 may support wired and / or wireless communication protocols and / or connections, such as Ethernet, fiber optic, Common Public Radio Interface (CPRI), and / or wired or wireless backhaul, etc. Network node 110 may use communication unit 244 to send and / or receive data associated with UE 120, or to perform network control signaling, etc. Communication unit 244 may include transceivers and / or interfaces, such as network interfaces.

[0098] UE 120 may include a collection of antennas 252 (shown as antennas 252a to 252r, where r ≥ 1), a collection of modems 254 (shown as modems 254a to 254u, where u ≥ 1), a MIMO detector 256, a receive processor 258, a data sink 260, a data source 262, a transmit processor 264, a TX MIMO processor 266, a controller / processor 280, a memory 282, and / or a communication manager 140, etc. One or more components of UE 120 may be included in housing 284. In some aspects, one or a combination of antenna 252, modem 254, MIMO detector 256, receive processor 258, transmit processor 264, or TX MIMO processor 266 may be included in a transceiver included in UE 120. The transceiver may be under the control of and used by one or more processors (such as controller / processor 280), and in some respects, may perform aspects of the methods, procedures, or operations described herein in conjunction with processor-readable code stored in memory 282. In some respects, UE 120 may include another interface, another communication component, and / or another component that facilitates communication with network node 110 and / or another UE 120.

[0099] For downlink communication from network node 110 to UE 120, the set of antennas 252 can receive downlink communication or signals from network node 110, and can receive the set of downlink signals (e.g., R Each received signal is provided to a set of modems 254. For example, each received signal may be provided to a corresponding demodulator component (shown as DEMOD) of modem 254. Each modem 254 may use the corresponding demodulator component to condition (e.g., filter, amplify, down-convert, and / or digitize) the received signal to obtain an input sample. Each modem 254 may use the corresponding demodulator component to further demodulate or process the input sample (e.g., for OFDM) to obtain a received symbol. MIMO detector 256 may obtain the received symbols from the set of modems 254, may perform MIMO detection on the received symbols where applicable, and may provide the detected symbols. Receiver processor 258 may process (e.g., decode) the detected symbols, may provide the decoded data for UE 120 to data sink 260 (which may include data pipelines, data queues, and / or applications executed on UE 120), and may provide the decoded control information and system information to controller / processor 280.

[0100] For uplink communication from UE 120 to network node 110, the transmitting processor 264 may receive and process data (“uplink data”) from data source 262 (such as data pipelines, data queues, and / or applications running on UE 120) and control information from controller / processor 280. The control information may include one or more parameters, feedback, one or more signal measurements, and / or other types of control information. In some aspects, the receiving processor 258 and / or controller / processor 280 may determine one or more parameters related to the transmission of uplink communication for received signals (such as those received from network node 110 or another UE). One or more parameters may include RSRP parameters, Received Signal Strength Indicator (RSSI) parameters, RSRQ parameters, CQI parameters, or Transmit Power Control (TPC) parameters, etc. The control information may include indications of RSRP parameters, RSSI parameters, RSRQ parameters, CQI parameters, TPC parameters, and / or other parameters. The control information may facilitate parameter selection and / or scheduling for UE 120 by network node 110.

[0101] Transmit processor 264 can generate reference symbols for one or more reference signals, such as uplink demodulation reference signals (DMRS), uplink probe reference signals (SRS), and / or another type of reference signal. Symbols from transmit processor 264 can (where applicable) be pre-decoded by TX MIMO processor 266 and further processed by an assembly of modems 254 (e.g., for DFT-s-OFDM or CP-OFDM). TX MIMO processor 266 can (where applicable) perform spatial processing (e.g., pre-decoding) on ​​data symbols, control symbols, overhead symbols, and / or reference symbols, and can provide an output symbol stream set (e.g., ...) to the assembly of modems 254. U Each output symbol stream may be provided to a corresponding modulator component (shown as MOD) of modem 254. Each modem 254 may use the corresponding modulator component to process (e.g., modulate) the corresponding output symbol stream (e.g., for OFDM) to obtain an output sample stream. Each modem 254 may further use the corresponding modulator component to process (e.g., convert to analog, amplify, filter, and / or upconvert) the output sample stream to obtain an uplink signal.

[0102] Modems 254a to 254u can transmit uplink signal sets (e.g., via a set of corresponding antennas 252) R One uplink signal or UUplink signals may include UCI communication, MAC-CE communication, RRC communication, or another type of uplink communication. Uplink signals may be transmitted on PUSCH, PUCCH, and / or another type of uplink channel. Uplink signals may carry one or more TBs of data. Sidelink data and control transmission (i.e., transmission directly between two or more UEs 120) may typically use techniques similar to those described for uplink data and control transmission, and may use sidelink-specific channels such as the Physical Sidelink Shared Channel (PSSCH), Physical Sidelink Control Channel (PSCCH), and / or Physical Sidelink Feedback Channel (PSFCH).

[0103] One or more antennas in the set of antennas 252 or the set of antennas 234 may include one or more antenna panels, one or more antenna groups, one or more sets of antenna elements, or one or more antenna arrays, etc., or may be included in one or more antenna panels, one or more antenna groups, one or more sets of antenna elements, or one or more antenna arrays, etc. Antenna panels, antenna groups, sets of antenna elements, or antenna arrays may include one or more antenna elements (within a single housing or multiple housings), a set of coplanar antenna elements, a set of non-coplanar antenna elements, or with one or more transmitting or receiving components (such as...) Figure 2 An antenna module is a combination of one or more antenna elements coupled to one or more components. As used herein, "antenna" can mean one or more antennas, one or more antenna panels, one or more antenna groups, one or more collections of antenna elements, or one or more antenna arrays. "Antenna panel" can mean a group of antennas (such as antenna elements) arranged in an array or panel that can facilitate beamforming by manipulating the parameters of that group of antennas. "Antenna module" can mean a circuit that includes one or more antennas, and may also include one or more other components (such as filters, amplifiers, or processors) associated with integrating the antenna module into a wireless communication device.

[0104] In some examples, each antenna element of antenna 234 or antenna 252 may include one or more sub-elements for radiating or receiving radio frequency signals. For example, a single antenna element may include a first sub-element cross-polarized with a second sub-element, which can be used to independently transmit cross-polarized signals. Antenna elements may include patch antennas, dipole antennas, and / or other types of antennas arranged in a linear pattern, a two-dimensional pattern, or another pattern. The spacing between antenna elements can allow signals with a desired wavelength transmitted individually by the antenna elements to interact or interfere (e.g., to form a desired beam) in various directions. For example, given a desired wavelength or frequency range, the spacing may provide a quarter wavelength, half a wavelength, or another fraction of the wavelength between adjacent antenna elements to allow desired constructive and destructive interference modes of signals transmitted by individual antenna elements within that desired range.

[0105] The amplitude and / or phase of signals transmitted via antenna elements and / or sub-elements can be modulated and (e.g., by manipulating phase shifts, phase offsets, and / or amplitudes) shifted relative to each other to generate one or more beams; this is known as beamforming. The term "beam" can refer to the directional transmission of a wireless signal toward a receiving device or otherwise in a desired direction. "Beam" can also generally refer to the direction associated with such directional signal transmission, the set of directional resources associated with the signal transmission (e.g., angle of arrival, horizontal direction, and / or vertical direction), and / or a set of parameters indicating one or more aspects of the directional signal, the direction associated with the signal, and / or the set of directional resources associated with the signal. In some implementations, antenna elements can be individually selected or deselected for the directional transmission of a signal (or multiple signals) by controlling the amplitude of one or more corresponding amplifiers and / or the phase of the signal to form one or more beams. The shape of the beam (such as amplitude, width, and / or the presence of sidelobes) and / or the direction of the beam (such as the angle of the beam relative to the surface of the antenna array) can be dynamically controlled by modifying the phase shifts, phase offsets, and / or amplitudes of multiple signals relative to each other.

[0106] Different UEs 120 or network nodes 110 may include different numbers of antenna elements. For example, UE 120 may include a single antenna element, two antenna elements, four antenna elements, eight antenna elements, or different numbers of antenna elements. As another example, network node 110 may include eight antenna elements, 24 antenna elements, 64 antenna elements, 128 antenna elements, or different numbers of antenna elements. Generally speaking, a larger number of antenna elements provides increased control over the parameters used for beamforming compared to a smaller number of antenna elements, while a smaller number of antenna elements may be less complex to implement and can use less power. Multiple antenna elements can support multi-layer transmission, in which the same time and frequency resources are used to utilize spatial multiplexing to transmit a first layer of communication (which may include a first data stream) and a second layer of communication (which may include a second data stream).

[0107] Figure 1 , Figure 2 or Figure 3 Network node 110, its controller / processor 240, UE 120, UE 120's controller / processor 280, CU 310, DU 330, RU 340, or any other component may implement one or more technologies or perform one or more operations associated with the configuration of entropy decoding for channel state feedback, as described in more detail elsewhere herein. For example, network node 110's controller / processor 240, UE 120's controller / processor 280, CU 310, DU 330, RU 340, or any other component may implement one or more technologies or perform one or more operations associated with the configuration of entropy decoding for channel state feedback, as described in more detail elsewhere herein. Figure 2 Any other component, CU 310, DU 330, or RU 340, may (alone or in conjunction with one or more other processors) perform or direct, for example... Figure 7 Process 700 Figure 8 The process 800 Figure 9 The process 900 Figure 10 Process 1000 Figure 11 Process 1100 Figure 12The operation of process 1200 or other processes as described herein. Memory 242 may store data and program code for network node 110, CU 310, DU 330, or RU 340. Memory 282 may store data and program code for UE 120. In some examples, memory 242 or memory 282 may include a non-transitory computer-readable medium storing instruction sets (e.g., code or program code) for wireless communication. Memory 242 may include one or more memories, such as a single memory or multiple different memories (of the same or different types). Memory 282 may include one or more memories, such as a single memory or multiple different memories (of the same or different types). For example, the instruction set may be made to be executed by one or more processors of network node 110, UE 120, CU 310, DU 330, or RU 340 (e.g., directly, or after compilation, transformation, or interpretation). Figure 7 Process 700 Figure 8 The process 800 Figure 9 The process 900 Figure 10 Process 1000 Figure 11 Process 1100 Figure 12 The process 1200 or other processes as described herein. In some examples, the execution instructions may include run instructions, transform instructions, compile instructions, and / or interpret instructions, etc.

[0108] In some aspects, UE 120 includes: components for receiving entropy decoding configuration information, the entropy decoding configuration information identifying one or more fields to be included in the payload of a CSF message for transmitting entropy-decoded CSF; and / or components for transmitting a CSF message for transmitting entropy-decoded CSF, the CSF message including one or more fields according to the entropy decoding configuration information. In some aspects, UE 120 includes: components for receiving entropy decoding configuration information, the entropy decoding configuration information identifying one or more parameters for transmitting a CSF message for transmitting entropy-decoded CSF, wherein the one or more parameters include parameters identifying at least one of: an entropy decoding algorithm, a probability mass function, whether the probability mass function is used on entries of the embedding vector, or a combination thereof; and / or components for transmitting a CSF message for transmitting entropy-decoded CSF according to one or more parameters. In some aspects, UE 120 includes: components for receiving entropy decoding configuration information, the entropy decoding configuration information identifying a set of parameters for transmitting CSF messages of entropy-decoded CSF, wherein the parameter set includes a payload size parameter; and / or components for transmitting CSF messages of entropy-decoded CSF according to the parameter set. Components for UE 120 to perform the operations described herein may include, for example, one or more of a communication manager 140, an antenna 252, a modem 254, a MIMO detector 256, a receive processor 258, a transmit processor 264, a TX MIMO processor 266, a controller / processor 280, or a memory 282.

[0109] In some aspects, network node 110 includes: components for transmitting entropy decoding configuration information, which identifies one or more fields for inclusion in the payload of a CSF message transmitting entropy-decoded CSF; and / or components for receiving a CSF message transmitting entropy-decoded CSF, the CSF message including one or more fields according to the entropy decoding configuration information. In some aspects, network node 110 includes: components for transmitting entropy decoding configuration information, which identifies one or more parameters for transmitting a CSF message transmitting entropy-decoded CSF, wherein the one or more parameters include parameters identifying at least one of: an entropy decoding algorithm, a probability mass function, whether the probability mass function is used on entries of the embedding vector, or a combination thereof; and / or components for receiving a CSF message transmitting entropy-decoded CSF according to one or more parameters. In some aspects, network node 110 includes: components for transmitting entropy decoding configuration information, which identifies a set of parameters for transmitting CSF messages of entropy-decoded CSF, wherein the parameter set includes a payload size parameter; and / or components for receiving CSF messages of entropy-decoded CSF according to the parameter set. Components for the network node to perform the operations described herein may include, for example, one or more of the following: communication manager 150, transmit processor 220, TX MIMO processor 230, modem 232, antenna 234, MIMO detector 236, receive processor 238, controller / processor 240, memory 242, or scheduler 246.

[0110] In some respects, a single processor can perform all the functions described as being performed by that one or more processors. In other respects, the one or more processors can jointly perform a set of functions. For example, a first group(s) of the one or more processors can perform a first function described as being performed by that one or more processors, and a second group(s) of the one or more processors can perform a second function described as being performed by that one or more processors. The first group and the second group of processors can be the same group of processors or can be different groups of processors. The reference to "one or more processors" should be understood as referring to a combination of functions. Figure 2 Any one or more processors described. The reference to "one or more memories" should be understood to refer to any one or more memories of the corresponding device, such as those in conjunction with... Figure 2 The memory described. For example, a function described as being performed by one or more memories can be performed by the same subset of the one or more memories or by different subsets of the one or more memories.

[0111] Although Figure 2The boxes in the diagram are illustrated as different components, but the functions described above with respect to these boxes may be implemented in a single hardware, software, or combined component, or in various combinations of components. For example, the functions described with respect to transmit processor 264, receive processor 258, and / or TX MIMO processor 266 may be performed by or under the control of controller / processor 280.

[0112] Communication systems can be deployed in a variety of ways using various components or parts. In some examples, networks, network nodes, network entities, network mobility elements, radio access network (RAN) nodes, core network nodes, network elements, base stations, or network equipment can be implemented in aggregated or decomposed architectures. For example, base stations (such as Node B (NB), evolved NB (eNB), NR base stations, 5G NB, access points (APs), TRPs, or cells, etc.) or one or more units (or components) performing base station functionality can be implemented as aggregated base stations (also known as standalone base stations or monolithic base stations) or decomposed base stations. A “network entity” or “network node” can refer to a decomposed base station or one or more units of a decomposed base station (such as one or more CUs, one or more DUs, one or more RUs, or combinations thereof).

[0113] Aggregated base stations (e.g., aggregated network nodes) can be configured to utilize a radio protocol stack that is physically or logically integrated within a single RAN node (e.g., within a single device or cell). Decomposed base stations (e.g., decomposed network nodes) can be configured to utilize a protocol stack that is physically or logically distributed across two or more cells (such as one or more CUs, one or more DUs, or one or more RUs). In some examples, the CU may be implemented within a network node, and one or more DUs may be co-located with the CU, or alternatively, may be geographically or virtually distributed across one or more other network nodes. DUs may be implemented to communicate with one or more RUs. Each of the CU, DU, and RU can also be implemented as a virtual cell, such as a Virtual Central Unit (VCU), a Virtual Distributed Unit (VDU), or a Virtual Radio Unit (VRU), etc.

[0114] Base station type operation or network design can take into account the aggregation characteristics of base station functionality. For example, decomposed base stations can be used in Integrated Access and Backhaul (IAB) networks, Open Radio Access Networks (O-RAN (such as network configurations initiated by the O-RAN Alliance)), or Virtualized Radio Access Networks (vRAN, also known as Cloud Radio Access Networks (C-RAN)) to facilitate the scaling of communication systems by separating base station functionality into one or more units that can be deployed independently. Decomposed base stations may include functionality implemented across two or more units at various physical locations, as well as functionality virtually implemented for at least one unit, which enables flexibility in network design. The individual units of a decomposed base station can be configured for wired or wireless communication with at least one other unit of the decomposed base station.

[0115] Figure 3 This is an illustration of an example decomposed base station architecture 300 according to the present disclosure. One or more components of the example decomposed base station architecture 300 may be, may include, or may be included in one or more network nodes (such as one or more network nodes 110). The decomposed base station architecture 300 may include a CU 310, which may communicate directly with the core network 320 via a backhaul link, or may communicate indirectly with the core network 320 via one or more decomposed control units (such as non-RT RIC 350 and / or near-RT RIC 370 associated with a Service Management and Orchestration (SMO) framework 360 (e.g., via an E2 link)). The CU 310 may communicate with one or more DU 330s via a corresponding midhaul link (such as via an F1 interface). Each DU 330 may communicate with one or more RU 340s via a corresponding fronthaul link. Each RU 340 may communicate with one or more UE 120s via a corresponding RF access link. In some deployments, a UE 120 may be served simultaneously by multiple RU 340s.

[0116] Each component of the disassembled base station architecture 300 (including CU 310, DU 330, RU 340, near-RT RIC 370, non-RT RIC 350, and SMO frame 360) may include one or more interfaces or may be coupled to one or more interfaces for receiving or transmitting signals, such as data or information, via wired or wireless transmission media.

[0117] In some respects, the CU 310 can be logically divided into one or more CU-UP units and one or more CU-CP units. When implemented in an O-RAN configuration, the CU-UP units can communicate bidirectionally with the CU-CP units via an interface such as an E1 interface. The CU 310 can be deployed to communicate with one or more DU 330s for network control and signaling, as needed. Each DU 330 may correspond to a logical unit that includes one or more base station functions for controlling the operation of one or more RU 340s. For example, the DU 330 may host various layers, such as the RLC layer, MAC layer, or one or more PHY layers (such as one or more high PHY layers or one or more low PHY layers). Each layer (which may also be referred to as a module) can be implemented using an interface for signaling to other layers (and modules) hosted by the DU 330, or for signaling to control functions hosted by the CU 310. Each RU 340 may implement lower-layer functionality. In some respects, the real-time and non-real-time aspects of communication with the control plane and user plane of the RU 340 can be controlled by the corresponding DU 330.

[0118] The SMO framework 360 supports RAN deployment and provisioning for both non-virtualized and virtualized network elements. For non-virtualized network elements, the SMO framework 360 supports the deployment of dedicated physical resources for RAN coverage requirements, which can be managed via operation and maintenance interfaces such as the O1 interface. For virtualized network elements, the SMO framework 360 can interact with cloud computing platforms such as the Open Cloud (O-Cloud) platform 390 to perform network element lifecycle management (such as instantiating virtualized network elements) via cloud computing platform interfaces such as the O2 interface. Virtualized network elements may include, but are not limited to, CU 310, DU 330, RU 340, non-RT RIC 350, and / or near-RT RIC 370. In some aspects, the SMO framework 360 can communicate with hardware aspects of the 4G RAN, 5G NR RAN, and / or 6G RAN (such as the Open eNB (O-eNB) 380) via the O1 interface. Additionally or alternatively, the SMO framework 360 can communicate directly with each of one or more RUs 340 via the corresponding O1 interface. In some deployments, this configuration enables each DU 330 and CU 310 to be implemented in a cloud-based RAN architecture, such as a vRAN architecture.

[0119] The non-RT RIC 350 may include or implement logic functions that enable non-real-time control and optimization of RAN elements and resources, including AI / ML workflows for model training and updates, and / or policy-based guidance of applications and / or features in the near-RT RIC 370. The non-RT RIC 350 may be coupled to or communicate with the near-RT RIC 370, such as via an A1 interface. The near-RT RIC 370 may include or implement logic functions that enable near real-time control and optimization of RAN elements and resources via an interface, such as an E2 interface, through data collection and actions, connecting one or more CU 310s, one or more DU 330s, and / or O-eNBs to the near-RT RIC 370.

[0120] In some aspects, to generate AI / ML models to be deployed in the near-RT RIC 370, the non-RT RIC 350 may receive parameters or external enrichment information from an external server. This information can be utilized by the near-RT RIC 370 and can be received from non-network data sources or network functions at the SMO framework 360 or the non-RT RIC 350. In some examples, the non-RT RIC 350 or near-RT RIC 370 may modulate RAN behavior or performance. For example, the non-RT RIC 350 may monitor long-term trends and patterns in performance and may employ AI / ML models to perform corrective actions via the SMO framework 360 (such as reconfiguration via the O1 interface) or via the creation of RAN management policies (such as A1 interface policies).

[0121] As indicated above, Figure 3 This is provided as an example. Other examples are available with reference to [the relevant information]. Figure 3 The examples described are different.

[0122] CSI report configuration may include a codebook used as the PMI (Passive Minute Interface). The UE can select a set of optimal PMI codewords from this PMI, and the UE indicates this set of optimal PMI codewords as the bit sequence to be sent to the network node. In some examples, the UE can use AI or machine learning (ML) techniques to encode the CSI feedback, and the network node can use the corresponding AI / ML techniques to decode the encoded AI-based CSI feedback. The UE can use the downlink channel matrix, the downlink pre-decoder set, or the interference covariance matrix as input to the AI ​​model, and the network node can use the downlink channel matrix, the transmit covariance matrix, the downlink pre-decoder set, and the interference covariance matrix as inputs to the AI ​​model. R nn The original downlink channel or whitened downlink channel identifier is the output from the CSI feedback received using the corresponding AI model.

[0123] Some UEs can be configured with multiple different AI / ML models for multiple different scenarios. For example, a UE can be configured with AI / ML models for indoor or outdoor scenarios, line-of-sight or non-line-of-sight scenarios, geographic location, serving cell, channel statistics (e.g., specific delay spread or signal-to-noise ratio), or a specific type of UE. Different AI / ML models can be trained using different datasets or data samples, which can provide more accurate performance when the UE uses an AI / ML model trained for a specific scenario (e.g., using data collected from the same or similar scenarios) in a specific scenario. In other words, for example, a UE operating outdoors and using an encoder AI / ML model trained on a dataset of CSI feedback from indoor observations can provide a CSF that can be more accurately recovered by network nodes with corresponding decoder AI / ML models, compared to a UE operating outdoors and using an encoder AI / ML model trained on a dataset of CSI feedback from outdoor observations.

[0124] In CSI compression using a two-sided model use case, various parameters can be specified, as described above regarding the encoder and decoder. For example, the vector quantization scheme, the format of the vector quantization codebook, or the size of the vector quantization codebook can be configured. Similarly, the size of the segments used for the CSI generation model output and the segmentation algorithm can be configured. In another example, the UE can use a scalar quantization scheme, in which case configurable parameters can include whether to perform uniform quantization or non-uniform quantization. Additionally, a quantization format, such as quantization granularity or the bit distribution allocated to each floating-point number, can be specified for the scalar quantization scheme.

[0125] Figure 4A and Figure 4B This is a diagram illustrating example 400 of data compression for channel state feedback according to this disclosure. Figure 4A and Figure 4B As shown, the quantization and dequantization processes can achieve data compression for channel state feedback.

[0126] When UE 120 uses an AI / ML model to compress CSF data, UE 120 can perform a set of procedures to compress the data. One procedure that UE 120 can perform is vector quantization (VQ). In VQ, UE 120 quantizes each input vector and maps each quantized input vector to a vector in the codebook (e.g., with a configured vector size). In other words, UE 120 can receive input... V in As shown by reference numeral 401 in the attached figure. Additionally, the UE 120 can divide the input into input vectors. Z e The set is shown in the attached figure, labeled 405. UE 120 can... Ze Divided into sizes d A set of subvectors, such as those with a size of 2 units or 4 units. An example of a subvector is shown by reference numeral 415, which indicates a subvector with a size of 2 units. Z e0 , Z e1 ]. The UE 120 can obtain vectors from the quantized codebook. Z embd Select the codeword, as shown in the attached figure (label 420), and map the subvector to the vector of the quantized codebook ([ Z q0 , Z q1 In some examples, UE 120 can be from... K Select the quantized codebook (CB) from the group of codebooks. Figure 4B An example of a quantization codebook is shown, where vector values ​​from -5 to 5, for a size of 2 units, can be quantized into a discrete set of 16 values. Return to Figure 4A UE 120 can combine the mapped subvectors to generate a quantized output vector, as shown by reference numeral 425. UE 120 can send information identifying the quantized vector to network node 110, which can perform decoding on the quantized vector. For example, network node 110 can perform a dequantization process to parse the subvectors [ Z q0 , Z q1 The set of subvectors is shown as reference numeral 425 in the attached figure. Network nodes 110 can combine subvector sets to obtain quantized vectors. Z q As shown by reference numeral 430 in the attached figure, network node 110 can combine multiple quantization vectors to obtain the output. V out The output can be the input. V in The recovery, and its corresponding network node 110 can select the value for channel configuration based on its estimated channel.

[0127] As indicated above, Figure 4A and Figure 4B This is provided as an example. Other examples are available relative to... Figure 4A and Figure 4B The examples described are different.

[0128] Figure 5A and Figure 5B This is a diagram illustrating example 500 of data compression using vector quantization and entropy decoding according to this disclosure. For example... Figure 5AAs shown, Example 500 includes UE 120 and network node 110 (shown as "NN 110").

[0129] like Figure 5A Furthermore, as shown by reference numeral 510, UE 120 can input data to an encoder (a first encoder for generating CSI data based on one or more measurements), which in some examples can be an AI / ML model. For example, UE 120 can input a set of channel metrics, such as a downlink channel matrix, into the encoder. H ), transmit covariance matrix, downlink pre-decoder ( V ), interference covariance matrix ( R nn The downlink channel can be either the original downlink channel or a whitened downlink channel. In some examples, the downlink pre-decoder or another parameter is generated by UE 120 using singular value decomposition (SVD) techniques applied to the downlink channel matrix. In this example, UE 120 can use an encoder to generate the potential message to be decoded at network node 110 (to recover...). H , V or R nn Wait, or determine the singular value diagonal matrix ( S ), right singular vector matrix ( V (or a combination of both) V wait).

[0130] like Figure 5A Furthermore, as shown by reference numeral 520, UE 120 can use a quantizer component to perform vector quantization (VQ) on the encoder output, such as latent vectors. Z For example, UE 120 can use VQ codebook 521 to quantize the encoder output and generate embedding vectors. Z embd As described above, UE 120 can use an entropy decoding (EC) probability density function or a probability mass function (PMF) defined on the alphabet used in the entries of the embedding vector. In other words, for VQ, UE 120 can have an alphabet {0, 1, …, K -1}, where K This is the codebook size of the VQ. In this example, instead of sending an embedding vector (or one or more bits representing the embedding vector) as a compressed value relative to the underlying message, the UE 120 may perform a further data compression process.

[0131] like Figure 5AFurthermore, as shown by reference numeral 530, UE 120 can use an EC encoder to encode the embedding vector into a data-compressed embedding vector. For example, UE 120 can use the embedding vector... Z embd The UE 120 uses entropy decoding (PMF 522) to generate a CSF message. In some examples, the UE 120 may perform a Huffman decoding process to generate a CSF message. In some examples, the UE 120 may perform arithmetic decoding to generate a CSF message.

[0132] like Figure 5B And as shown by reference numeral 535a, during Huffman decoding, UE 120 can generate lookup table 536 (or another type of data structure). The lookup table includes symbols [ S0, S1, S2, S3, … The lookup table maps bit sequences [00, 01, 10, 111, …]. The symbols in the lookup table represent the symbols of the embedding vector to be entropy-decoded and are ordered by frequency of use. Symbols are mapped to bit sequences of increasing length, such that more frequently used symbols are mapped to smaller bit sequences. For example, when the first given symbol… k Repeat 5 instances for the embedding vector and the second given symbol l When the embedding vector is repeated for two instances, the first symbol k It can be represented as S0 And it maps to the bit sequence "00", and the second symbol l It can be represented as S3 And it maps to the bit sequence "111". In this example, the bit sequence "00" is repeated 5 times when sent, and the bit sequence "111" is repeated once. In some examples, the bit sequences are chosen such that no bit sequence begins with another sequence. For example, in Figure 5B In the bit sequence, the binary values ​​"11", "100", "101", and "110" are skipped in the lookup table because each binary value begins with a bit sequence already included in the lookup table. In this example, omitting bit sequences that begin with other bit sequences allows the decoder to decode the bit sequence without using indicators about where each bit sequence ends. When performing Huffman decoding, the UE 120 selects the input symbol. S i And use a lookup table (or another type of algorithm) to transform or map the input symbols to the output codewords. C i The output codeword is a bit sequence.

[0133] like Figure 5BFurthermore, as shown by reference numeral 535b, during arithmetic decoding, UE 120 may use an arithmetic decoding algorithm (shown as "AC alg") to transform the input symbol set into an output bit sequence. The arithmetic decoding algorithm can be selected from several possible arithmetic decoding algorithms. In some examples, the arithmetic decoding algorithm uses an entropy decoding probability mass function (EC PMF) 522 as input to generate the output sequence. In arithmetic decoding, UE 120 encodes the entire message (multiple symbols) into a single number, such as 0.0 ≤ q fractions with arbitrary precision in the range ≤1.0 q To perform arithmetic decoding, the UE120 divides the interval [0, 1] into multiple values ​​for multiple symbols associated with the probability of each symbol's occurrence. Therefore, symbols with higher occurrence probabilities occupy a larger relative portion of the interval. In some examples, the UE120 may recursively assign values ​​or subintervals to symbols as new symbols are encoded. When performing the arithmetic decoding process, the UE120 selects the input symbols. S i Arithmetic decoding algorithms and EC PMF are used to generate output sequences that include the set of output codewords. C .

[0134] Return to Figure 5A And as indicated by reference numeral 540 in the accompanying drawings, network node 110 can receive a CSF message from UE 120, which transmits vector-quantized data of entropy decoding of a CSI report, and can use a decoder (such as an entropy decoder) to perform EC decoding. Network node 110 can use EC PMF 522 as input to the decoder to decode Huffman decoding or arithmetic decoding applied to the CSF message. For example, using arithmetic decoding (and the corresponding decoding), network node 110 can use the decoder to perform the inverse operation, where in x Iterate through the values ​​in the interval [0, 1] digit by digit after the decimal point. x The score is used to determine the mapping to the first symbol, the second symbol, the third symbol, and so on. Similarly, using Huffman decoding, network node 110 can use a decoder to demap binary values ​​to symbols according to a lookup table (or another type of data structure or algorithm used to configure the mapping). Based at least in part on performing EC decoding, network node 110 recovers the embedding vector. Z embd .

[0135] like Figure 5A Furthermore, as shown by reference numeral 550, network node 110 can perform a dequantization process on the embedded vector to recover the vector representing the data in the CSI report. For example, network node 110 can use vector quantization codebook 521 to demap... Z embdThe set of quantized values ​​to recover the vector Z e As shown by reference numeral 560 in the attached figure, network node 110 can decode vectors. Z e By identifying one or more output parameters, network node 110 can derive channel estimates and configure subsequent communication on the channel based on these parameters. For example, network node 110 can recover the data encoded at UE 120. H , V S V or R nn The value is used to select the pre-decoding matrix, modulation and decoding scheme (MCS), transmit power, resource allocation, quasi-co-address (QCL) parameters, or another communication configuration for subsequent communication with UE 120 on the channel.

[0136] As indicated above, Figure 5A and Figure 5B This is provided as an example. Other examples are available relative to... Figure 5A and Figure 5B The examples described are different.

[0137] A network node can send a CSI-RS to a UE, which can then perform measurements on the CSI-RS. The UE can use the CSI-RS measurements to estimate the downlink channel response and report a set of CSI indicators to the network node. By estimating the downlink channel at the UE, reporting the downlink channel estimate to the network node, and configuring transmission on the downlink channel at the network node, efficient communication can be achieved between the UE and the network node.

[0138] The UE and network node can use data compression and decompression techniques to reduce the overhead associated with CSF messages that transmit CSI feedback data. The UE can perform a VQ procedure, where the values ​​of the CSI feedback data are divided into vectors, and these vectors are aligned with the codeword set of the quantization codebook. Additionally, the UE can perform entropy decoding to compress the bit sequence. The UE can then transmit the compressed output sequence representing the CSI feedback data as a CSF message. The network node can recover the CSI feedback data by decoding the CSF message. For example, the network node can perform EC decoding and vector dequantization to reverse the data compression technique.

[0139] When a network node performs the aforementioned process for decoding and recovering CSF messages, it can use one or more parameters or configurations to successfully obtain CSF message data from the encoded compressed CSF message, such as the underlying CSI feedback data. For example, the network node can use information indicating which version of entropy decoding has been used to determine whether to use a lookup table (as in Huffman decoding) or an arithmetic algorithm (as in arithmetic decoding) to convert the bit set into a symbol set from which the CSF message can be recovered. As another example, to reverse the entropy decoding process, the network node can use an estimate of the PMF used by the UE to derive the codeword tree, as in Huffman decoding, or as a parameter for an arithmetic algorithm, as in arithmetic decoding. When the UE's encoder is out of sync with the network node's decoder, the network node may fail to recover CSF message data successfully or inaccurately. Therefore, when a network node attempts to configure downlink transmission using CSF message data that has been unsuccessfully or inaccurately recovered, the network node may select parameters for downlink transmission that result in inefficient use of channel resources and / or communication interruption.

[0140] The various aspects collectively involve configuring entropy decoding for CSF messages. Some aspects more specifically involve a network node that transmits information to the UE identifying the configuration of CSF reports (such as AI-based CSF reports). For example, the network node may send RRC signaling identifying the type of entropy decoding the UE is to perform or the PMF parameters used for the entropy decoding process. In some aspects, the network node may send RRC signaling instructing the UE whether to apply entropy decoding as multiple entropy decoding processes to multi-layer VQ outputs (which may be CSF message data), or whether the UE wants to merge multi-layer VQ outputs and perform a single entropy decoding process on the merged VQ outputs. In some aspects, the network node may instruct the UE whether to send an indication of one or more parameters used for entropy decoding along with the message sending the entropy decoding. For example, the network node may command the UE to send an indication of the length of the entropy-decoded output that the network node can use for decoding.

[0141] In some aspects, network nodes may send indications of whether entropy decoding is activated or deactivated. For example, the UE may have the ability to adaptively use entropy decoding or switch to using another technology, and the network node may send indications of when and which technology to use. In some aspects, network nodes may send indications of the maximum payload size for CSI reporting. For example, the network node may configure the UE such that when the UE determines that the maximum payload size has been exceeded, the UE can be configured to switch from using entropy decoding to not using entropy decoding. In some aspects, network nodes may send indications of the payload structure of CSF messages encoded using entropy decoding. For example, the network node may instruct the UE to send a message of a first type with a first format or a message of a second type with a second format. In this example, the first format may have a first set of fields for the UE to transmit configurations for EC decoding, and the second format may have a second set of fields for the UE to transmit configurations for EC decoding. Examples of field types may include fields for identifying the length of the entropy decoding output or whether entropy decoding has been bypassed.

[0142] Figures 6A to 6F This is a diagram illustrating example 600 associated with a configuration for entropy decoding used for channel state feedback according to this disclosure. (See diagram for example...) Figure 6A As shown, Example 600 includes communication between network node 110 and UE 120.

[0143] like Figure 6A Furthermore, as shown by reference numeral 605, in some aspects, UE 120 may send UE capability information to network node 110. For example, UE 120 may send an uplink message to network node 110 to identify UE capabilities related to entropy decoding. In this example, the UE capability information may indicate whether UE 120 is capable of performing entropy decoding. Additionally or alternatively, the UE capability information may include indications of one or more proposed or possible parameters to be used for entropy decoding configuration. In this example, network node 110 may send, signal, indicate, provide, or transmit response messages configuring one or more proposed or possible parameters or rejecting one or more proposed or possible parameters, among other examples.

[0144] like Figure 6AAs further illustrated by reference numeral 610, UE 120 may receive entropy decoding configuration information from network entity 110. For example, UE 120 may receive RRC signaling having one or more fields that transmit entropy decoding configuration information. In this example, the RRC signaling may include one or more fields associated with signaling or indicating the entropy decoding configuration information. In some aspects, the RRC signaling may include RRC configuration for AI / ML-based CSI reporting. For example, UE 120 may receive RRC signaling that includes one or more parameters for configuring AI / ML-based CSI reporting and one or more parameters for configuring entropy decoding.

[0145] In some respects, entropy decoding configuration information is transmitted, indicated, or signaled via messages, among other examples. For instance, the message may include one or more fields with one or more values ​​that the UE 120 may interpret as one or more parameters of the entropy decoding configuration information. In this example, the RRC message may have an information element with a field set to a bit value "0" or "1", where the UE interprets a value "0" as indicating a first configuration and "1" as indicating a second configuration. Similarly, the RRC message may have another information element with a field set to a bit value "00", "01", "10", or "11" to indicate which of four different possible configurations the UE 120 wants to use. Although specific bit indications or field values ​​are disclosed, it is conceivable that other bit indications or field values ​​may be used.

[0146] Alternatively or additionally, UE 120 may receive entropy decoding configuration via another type of signaling. For example, UE 120 may provide information identifying the entropy decoding configuration in a model identification message. In this example, when UE 120 receives a signaling message associated with selecting or configuring an AI / ML model for generating CSI feedback, the signaling message may include one or more fields for identifying the entropy decoding configuration. Alternatively or additionally, UE 120 may receive entropy decoding configuration via a model metadata message. For example, when UE 120 receives a signaling message associated with transmitting model metadata for an AI / ML pattern used to generate CSI feedback, the signaling message may include one or more fields for identifying the entropy decoding configuration. Alternatively or additionally, UE 120 may receive entropy decoding configuration via a UE capability signaling message. For example, when UE 120 sends a UE capability message identifying one or more proposed or possible entropy decoding configuration parameter values, UE 120 may receive a response message from network node 110 confirming one or more proposed or possible entropy decoding configuration parameter values. Additionally or alternatively, UE 120 may receive entropy decoding configuration via a combination of multiple messages or message types. For example, UE 120 may receive a first signaling that transmits one or more first parameters of the entropy decoding configuration and a second signaling that transmits one or more second parameters of the entropy decoding configuration.

[0147] In some aspects, as indicated by reference numeral 610a, UE 120 may receive information identifying entropy decoding settings, such as information identifying one or more parameters of a CSF message used to transmit, indicate, or signal entropy decoding. For example, UE 120 may receive information associated with ensuring alignment between the entropy decoder encoder of UE 120 and the entropy decoder decoder of network node 110. In this example, one or more parameters may include parameters identifying the entropy decoding algorithm to be used by UE 120 for entropy decoding. For example, UE 120 may receive an indication of using Huffman decoding or arithmetic decoding. Additionally or alternatively, UE 120 may receive information identifying the probability mass function (PMF) or probability density function defined on the alphabet used in the entries of the embedding vector, as described above. Additionally or alternatively, UE 120 may receive information indicating whether UE 120 should use the same PMF on all entries of the embedding vector or use different PMFs for different subsets of the entries of the embedding vector. Figure 6B And as shown by reference numeral 650, a sequence { can be used to encode entries in the embedded sequence} P z_0 [k], P z_1 [k], …, P z_N-1 [k]} to include the sequence { zembd [0], z embd [1], …, z embd The embedding set Z of [N-1]} embd Encoding is performed. In this example, network node 110 configures UE 120 to use P. z_0 [k] to pair values Z 0 Encoding is performed, where k is a value in the symbol alphabet {0, …, K-1}. Additionally, for this example, network node 110 configures UE 120 to use... P z_i The embedding set is vector-quantized using a 4-dimensional VQ with 2 bits per dimension of PMF (resulting in a total of 8 bits for VQ), where k ε {0, 1, …, 255}. In some respects, network node 110 can configure UE 120 to derive the PMF based on the entire vector, or to derive a separate PMF for each entry within the entire vector. For example, network node 110 can configure UE 120 to use a single PMF for Z0, Z1, etc. z [k], or use different P values ​​for different Z0, Z1, etc. z [k] value.

[0148] In some aspects, UE 120 may receive information indicating whether entropy decoding is enabled or disabled. For example, when UE 120 is configured to allow adaptive enabling and disabling of entropy decoding, UE 120 may receive signaling indicating that entropy decoding should be enabled and used. When UE 120 sends a CSF message, UE 120 may use entropy decoding to compress the data in the CSF message. Additionally or alternatively, when UE 120 receives signaling indicating that entropy decoding should be disabled and not used, UE 120 may send a CSF message that does not use entropy decoding for compression (but may or may not use vector quantization for compression). In some aspects, UE 120 may receive information commanding UE 120 to indicate whether entropy decoding is enabled. In other words, when UE 120 is configured to disable entropy decoding (such as for greedy bypass), as described in detail below, UE 120 may receive entropy decoding configuration information instructing UE 120 to include an indicator regarding whether entropy decoding is enabled or disabled when generating CSF messages. Additionally or alternatively, UE 120 may be configured to dynamically enable or disable entropy decoding for each tier, each CSI report, or each group of CSI reports. In this example, UE 120 may include an indicator in the CSF message regarding whether entropy decoding is enabled or disabled for any tier, CSI report, or CSI report group, based on the parameter values ​​of the entropy decoding configuration information.

[0149] In some respects, UE 120 may receive information identifying parameters specific to the entropy decoding algorithm. For example, when UE 120 is configured to use Huffman decoding, such as by canonical or entropy decoding configuration parameters, UE 120 may receive indications of the symbol-to-binary string mapping used for a lookup table (LUT). Although this paper describes some aspects in relation to lookup tables, it is conceivable that other types of data structures or algorithms may be used to establish the mapping between symbols and binary strings.

[0150] Additionally or alternatively, when UE 120 is configured to use finite-precision arithmetic decoding, UE 120 may receive an indication of the bit width to be used in the calculation of the sequence, such as 16-bit, 32-bit, 64-bit, 128-bit, or another example of the bit width. In finite-precision arithmetic decoding, the fractional value is represented using the configured finite precision corresponding to the configured bit width.

[0151] Additionally or alternatively, when UE 120 is configured to use arithmetic decoding, UE 120 may receive an indication of which arithmetic decoding algorithm or a finite-precision implementation of arithmetic decoding should be used for entropy decoding. For example, UE 120 may receive an indication of whether entropy decoding is applied individually to the VQ output of each layer of the CSI data, or whether entropy decoding is applied jointly to all layers of the VQ output of each layer of the CSI data. The CSI data generated by UE 120 using, for example, an AI / ML model may be in the form of a matrix representing the values ​​of the channel estimate, where each column of the matrix is ​​called a "layer" of the CSI data. Figure 6C Furthermore, as shown in Example 655, an example of CSI data includes three layers. L1 , L2 and L3 The set. In this example, each layer is provided separately to the entropy decoder encoder (of UE 120), as shown by reference numeral 656. The encoder uses PMF to encode each layer to generate three separately encoded (compressed) layers L1', L2', and L3', as shown by reference numeral 657. In contrast, as Figure 6C Furthermore, as shown in Example 660, the three layers are cascaded (or otherwise combined) to generate a joint layer L. J As shown by reference numeral 661 in the attached figure. In this example, the joint layer L J Encoded to produce a single encoded (compressed) output L J The information is shown in Figure 662.

[0152] Additionally or alternatively, when UE 120 is configured to use arithmetic decoding, UE 120 may receive an indication of whether to include a termination sequence (or sequence end symbol), or may receive an indication of the value of the termination sequence of the encoded sequence, such as an indication to append bit values ​​"01" to the end of the encoded sequence. In this example, network node 110 uses the termination sequence to determine where the encoded sequence terminates. In other words, entropy decoding generates a binary sequence of varying lengths, which is at least partially based on the values ​​of the input vector as described above. Therefore, UE 120 may receive an indication of whether to signal the length of the entropy decoded output in the CSI report. For example, network node 110 may (by indicating with a parameter value) instruct UE 120 to include an indication of the length of the entropy decoded output as a parameter value in the CSF message.

[0153] In some respects, when network node 110 does not instruct UE 120 to report an indication of the length of the entropy decoding output in, for example, CSI message part 1, network node 110 may instruct UE 120 to include a sequence end symbol. e In this example, UE120 can... e Appended to the input vector, and used to... e Encode, such as Figure 6D And as shown in Example 665. In this example, the UE 120 inputs one or more layers as indicated by reference numeral 666. L and will e Attached to one or more layers L UE 120 uses the attached e To one or more layers L Encode to generate output L' As shown in the attached figure, 667. e Examples of values ​​may include "00", "01", or "11", etc. Based on UE 120, including... e The decoder of network node 110 can detect e And terminate the decoding process as a response to the detection e The response. In some respects, e It can be attached to each layer (for individual encoding) or combined into a layer (for joint encoding across multiple layers).

[0154] Return to Figure 6A As shown by reference numeral 610b in the attached figure, in some aspects, UE 120 may receive information identifying the payload size limit of the CSF message used for transmitting entropy-decoded CSF. The output of entropy decoding has a variable length and is compressed by some possible length relative to the input of entropy decoding. As an example, Figure 6E Figure 670 illustrates the relationship with the cumulative distribution function (CDF).F ( x The possible payload size of the data compression level. x An example. As shown in the figure, in one example, for x For lengths ≤192, entropy decoding achieves a higher level of data compression than without entropy decoding. However, in x At lengths greater than 192, entropy decoding results in no increase in data compression (and in fact, the data increases).

[0155] Therefore, UE 120 can be configured with entropy decoding in a greedy bypass configuration. In entropy decoding with a greedy bypass configuration, UE 120 is configured with a maximum payload size based on the maximum number of non-zero coefficients available for entropy decoding. When the entropy decoding output length is less than or equal to the maximum payload size, UE 120 uses the entropy decoding output, thereby achieving data compression. When the entropy decoding output length is greater than the maximum payload size, UE 120 abandons entropy decoding (e.g., by including the entropy decoding input as a vector quantization output), thereby ensuring no data increase due to entropy decoding. In some aspects, when UE 120 is configured for greedy bypass, UE 120 is configured to include an indicator regarding whether entropy decoding is used for CSF messages. For example, UE 120 may receive entropy decoding configuration information indicating that when the entropy decoding output length is greater than the maximum payload size, UE 120 will use the entropy decoding input for the CSF message, and includes an indicator that the CSF message uses the entropy decoding input instead of the entropy decoding output. In this example, UE 120 may use a 1-bit indication for whether to use greedy bypass for the entire CSF message, or use 1 bit per layer, per CSI report, or per CSI report group to indicate whether to use greedy bypass for a layer, CSI report, or CSI report group, respectively. Network node 110 may use a 1-bit indication (or a 1-bit indication per layer) to determine whether to skip entropy decoding and, for example, move directly to vector dequantization.

[0156] As indicated by reference numeral 610c in the accompanying drawings, in some aspects, UE 120 may receive information identifying the payload structure of a CSF message used for transmitting entropy-decoded CSF messages. For example, UE 120 may receive entropy decoding configuration information that instructs UE 120 to include one or more fields in or a portion of a CSF message. In this example, one or more fields may be associated with one or more parameters instructing network node 110 to use for decoding entropy-decoded CSF messages and / or performing channel configuration. In some aspects, the entropy decoding configuration information may instruct UE 120 to include parameters in CSI Part 1 or CSI Part 2 of a CSF message. Additional details regarding CSI are described with respect to 3GPP Technical Specification (TS) 38.212, Release 18, Version 18.0.0, Section 6.3 and 3GPP TS 38.214, Release 18, Version 18.0.0, Section 5.2.3. The CSI Part 1 and CSI Part 2 segments of a CSF message may include individual transmissions of corresponding parts (such as header data and payload data or first payload data and second payload data), or together include corresponding transmissions of the CSF message (such as first transmission and second transmission).

[0157] As an example, such as Figure 6F As shown in Example 675, network node 110 can configure UE 120 to include multiple fields in the CSI Part 1 segment of the CSF message. In this example, the multiple fields may include an RI field, a CQI field, a length field indicating the length of the entropy decoding output, and a bypass field indicating whether a greedy bypass technique is used to bypass the entropy decoding. Similarly, in Example 680, network node 110 can configure UE 120 to include multiple fields in the CSI Part 2 segment of the CSF message. In this example, the multiple fields may include a length field and a bypass field. Additionally or alternatively, the UE may be configured to include other fields, such as whether joint coding or individual coding exists at multiple layers. Additionally or alternatively, UE 120 may indicate the total payload size in the CSI Part 1 segment and the payload size for each layer in the CSI Part 2 segment. In this example, UE 120 may indicate the total payload value set {c0, c1, …, c} in the CSI Part 1 segment. i}, and can indicate which value corresponds to which layer in section 2 of CSI.

[0158] Return to Figure 6AAnd as indicated by reference numeral 615 in the accompanying drawings, in some aspects, UE 120 may receive one or more CSI-RS transmissions from network node 110. For example, network node 110 may transmit, signal, indicate, provide, or transmit one or more CSI-RS signals for UE 120 to perform one or more measurements and / or channel estimations. Additionally or alternatively, although some aspects are described in accordance with CSI-RS, it is also contemplated that the aspects described herein may be used in conjunction with other types of reference signals, such as other downlink reference signals, other uplink reference signals, or other sidelink reference signals.

[0159] like Figure 6A Furthermore, as shown by reference numeral 620, in some aspects, UE 120 may perform CSI-RS measurements on one or more CSI-RS transmissions. For example, UE 120 may use CSI-RS to measure one or more channel metrics. In this example, the one or more channel metrics may include channel quality metrics (such as RSRQ parameters) or channel power metrics (such as RSRP parameters). In some aspects, UE 120 may determine one or more indicators. For example, UE 120 may determine a channel RI value, CQI value, or another indicator based on one or more measurements of the channel.

[0160] like Figure 6A Furthermore, as shown by reference numeral 625, in some aspects, UE 120 may encode CSI-RS measurements. For example, UE 120 may perform one or more encoding processes to generate a CSF message for transmission. In this example, UE 120 may use an AI / ML model that takes one or more measurements transmitted by one or more CSI-RS as input to generate an output, for example, a set of vectors representing the channel. UE 120 may use vector quantization to quantize the set of vectors and may use entropy decoding to convert the symbols of the quantized vectors into a data-compressed bit sequence, as described above.

[0161] In some aspects, UE 120 can encode CSI-RS measurements according to an entropy decoding configuration. For example, UE 120 can use an entropy decoding algorithm or PMF indicated in the entropy decoding configuration. UE 120 can encode CSI-RS measurements according to the entropy decoding configuration by using one or more parameters or settings indicated or identified by the entropy decoding configuration or in the entropy decoding configuration. For example, when the entropy decoding configuration includes bit indicators for using Huffman decoding, UE 120 can encode CSI-RS measurements according to the entropy decoding configuration by using Huffman decoding as the algorithm for entropy decoding. Similarly, when UE 120 receives entropy decoding configuration information indicating that UE 120 will include one or more fields in a CSF message, UE 120 can encode and transmit CSI-RS measurements according to the entropy decoding configuration information by including one or more fields in the CSF message that transmit entropy-decoded CSI feedback data or are connected to such entropy-decoded CSI feedback data.

[0162] Additionally or alternatively, UE 120 may use the same or different PMFs across entries of the embedded vector, depending on the entropy decoding configuration. Additionally or alternatively, UE 120 may use a specific configuration such as Huffman decoding or arithmetic decoding, depending on the entropy decoding configuration. Additionally or alternatively, UE 120 may perform entropy decoding on a per-layer basis or jointly across multiple layers, depending on the entropy decoding configuration. In some aspects, UE 120 may append a sequence end symbol to the sequence when performing entropy decoding according to the entropy decoding configuration.

[0163] In some respects, UE 120 may omit entropy decoding of some CSF messages or a portion of CSF messages. For example, UE 120 may determine that the entropy-decoded output exceeds the maximum payload size and may use an unentropy-decoded symbol set as the CSF message, which may or may not have been vector-quantized. In this example, UE 120 may include an indication of whether UE 120 will not include the entropy-decoded output in the CSF message, such as based on a greedy bypass technique as described herein.

[0164] like Figure 6A Furthermore, as shown by reference numeral 630, UE 120 may send CSF messages to network node 110. For example, UE 120 may send one or more transmissions including one or more fields for transmitting the CSF message (such as one or more fields for transmitting a set of bit sequences). Additionally or alternatively, UE 120 may send one or more transmissions including one or more fields for transmitting control information. For example, UE 120 may transmit an indication of whether entropy decoding is used, the length of the entropy decoding output, the PMF used for entropy decoding, or another parameter, such as another parameter described herein.

[0165] like Figure 6A Furthermore, as shown by reference numeral 635, in some aspects, network node 110 can decode CSF messages. For example, network node 110 can receive CSF messages and decode them according to entropy decoding configuration information. In this example, network node 110 can use the entropy decoding configuration information as one or more settings for decoding. As an example, when network node 110 receives control information of a CSF message having an identifier of the length of the PMF or entropy decoding output used for encoding, network node 110 can configure its decoder using the length of the PMF or entropy decoding output. Additionally or alternatively, when network node 110 instructs UE 120 to use an entropy decoding algorithm (such as Huffman decoding), network node 110 can decode the CSF message according to the entropy decoding configuration information by using Huffman decoding. In this example, network node 110 can use a lookup table associated with Huffman decoding to perform a bit sequence to symbol mapping, thereby performing lossless decoding of the CSI feedback data of the entropy decoding of the data compression. Additionally or alternatively, network node 110 may perform vector dequantization. Additionally or alternatively, network node 110 may use an AI / ML model to recover channel measurements or channel estimates from the vector dequantized data. For example, network node 110 may use one side of an AI / ML model, with the other side of the AI / ML model (a two-sided AI / ML model) operating on UE 120. In this example, one side of the AI / ML model operating on network node 110 outputs a downlink channel matrix, a transmit covariance matrix, one or more downlink pre-decoders, an interference covariance matrix, the original channel or whitened channel, and other examples as inputs to the other side of the AI / ML model operating on UE 120.

[0166] like Figure 6A Furthermore, as shown by reference numeral 640, in some aspects, network node 110 can perform a channel configuration process. For example, network node 110 can configure one or more parameters for subsequent communication on the channel. In this example, network node 110 can use decoded CSF messages to configure modulation and decoding schemes (MCS), downlink pre-decoders, transmit power, resource sets, or quasi-co-address (QCL) parameters, etc.

[0167] As indicated above, Figures 6A to 6F This is provided as one or more examples. Other examples may be found with reference to... Figures 6A to 6F The examples described are different.

[0168] Figure 7This is a diagram illustrating an example process 700 performed, for example, at a UE or a device of a UE, according to this disclosure. Example process 700 is an example in which a device or UE (e.g., UE 120 or device 1300) performs operations associated with the configuration of entropy decoding for channel state feedback.

[0169] like Figure 7 As shown, in some aspects, process 700 may include: receiving entropy decoding configuration information that identifies one or more fields to be included in the payload of a CSF message transmitting entropy-decoded CSF (box 710). For example, the UE (e.g., using...) Figure 13 The depicted communication manager 140 and / or receiving component 1302 may receive entropy decoding configuration information that identifies one or more fields to be included in the payload of a CSF message transmitting entropy-decoded CSF, as described above.

[0170] like Figure 7 Further, in some aspects, process 700 may include: sending a CSF message for transmitting entropy-decoded CSF, the CSF message including one or more fields based on entropy-decoded configuration information (box 720). For example, the UE (e.g., using...) Figure 13 The depicted communication manager 140 and / or transmitting component 1304 can send a CSF message for transmitting entropy-decoded CSF, the CSF message including one or more fields based on entropy-decoding configuration information as described above.

[0171] Process 700 may include additional aspects, such as any single aspect or any combination of aspects described below and / or in conjunction with one or more other process descriptions elsewhere herein.

[0172] In a first aspect, process 700 includes: transmitting UE capability information indicating the capability for entropy decoding, and wherein receiving entropy decoding configuration information includes receiving entropy decoding configuration information as a response to transmitting the UE capability information.

[0173] In a second aspect, either alone or in combination with the first aspect, process 700 includes: receiving CSI-RS; performing a measurement of the CSI-RS; and encoding the CSI-RS measurement using entropy decoding according to entropy decoding configuration information and using an encoder to generate at least a portion of the payload of a CSF message, wherein sending the CSF message includes sending the CSF message to transmit at least a portion of the payload of the CSF message.

[0174] In the third aspect, either alone or in combination with one or more of the first and second aspects, one or more fields include at least one of the following: a field indicating a parameter related to the length of the entropy decoding output, a field indicating a parameter related to the entropy decoding bypass indication, or a combination thereof.

[0175] In the fourth aspect, one or more fields are included in the first part of the CSF message, either alone or in combination with one or more of the first to third aspects.

[0176] In the fifth aspect, individually or in combination with one or more of the first to fourth aspects, one or more fields include at least one of the following: a field indicating a parameter related to the maximum payload of multiple layers of the CSF report across the CSF message, a field indicating a parameter related to the entropy decoding output of each of the multiple layers, a field indicating a parameter related to the total payload of multiple layers of the CSF report across the CSF message, or a combination thereof.

[0177] In the sixth aspect, either alone or in combination with one or more of the first to fifth aspects, one or more fields are included in the second part of the CSF message or in at least one of the uplink control information elements signaled in conjunction with the CSF message.

[0178] In the seventh aspect, either alone or in combination with one or more of the first to sixth aspects, the entropy decoding configuration information is signaled via at least one of the following: model identification message, model meta-information message, radio resource control configuration message, UE capability signaling message, or a combination thereof.

[0179] In the eighth aspect, either alone or in combination with one or more of the first to seventh aspects, the entropy decoding configuration information includes one or more parameters, which include at least one of the following: an entropy decoding algorithm, a probability mass function, whether the probability mass function is used on an entry of the embedding vector, or a combination thereof.

[0180] In the ninth aspect, either alone or in combination with one or more of the first to eighth aspects, the entropy decoding algorithm is a Huffman decoding algorithm, and wherein the entropy decoding configuration information includes parameters for mapping identifiers to binary strings.

[0181] In the tenth aspect, either alone or in combination with one or more of the first to ninth aspects, the entropy decoding algorithm is an arithmetic decoding algorithm, and wherein the entropy decoding configuration information includes parameters identifying at least one of the following: the type of arithmetic decoding algorithm, the bit width used for the arithmetic decoding algorithm, an identifier for the termination of the coded sequence, an indicator regarding whether to include a sequence end symbol, or a combination thereof.

[0182] In the eleventh aspect, alone or in combination with one or more of the first to tenth aspects, the parameters include information indicating whether to include an indicator of the length of the entropy decoded output or the end-of-sequence symbol in the CSF message.

[0183] In the twelfth aspect, either alone or in combination with one or more of the first to eleventh aspects, the parameters include information on enabling or disabling entropy decoding.

[0184] In the thirteenth aspect, either alone or in combination with one or more of the first to twelfth aspects, the entropy decoding configuration information includes parameters indicating whether entropy decoding is applied on a per-layer basis of CSI or jointly applied to all layers of CSI.

[0185] In the fourteenth aspect, either alone or in combination with one or more of the first to thirteenth aspects, the parameter is an adaptive entropy decoding bypass parameter based on each layer or each CSI report.

[0186] In the fifteenth aspect, alone or in combination with one or more of the first to fourteenth aspects, the entropy decoding information includes a parameter identifying the payload size of the CSI report included in the CSF message.

[0187] In the sixteenth aspect, alone or in combination with one or more of the first to fifteenth aspects, the entropy decoding configuration information includes an indication of whether to use a greedy bypass for the entropy decoding output used for CSF messages.

[0188] In the seventeenth aspect, alone or in combination with one or more of the first to sixteenth aspects, the CSF message includes a greedy bypass for the entropy decoding output of the CSF message and an indicator of the CSF message including the greedy bypass of the entropy decoding output.

[0189] In the eighteenth aspect, either alone or in combination with one or more of the first to seventeenth aspects, the indicator of the CSF message including the entropy decoded output greedily bypass is a plurality of bit indicators for individually encoding multiple layers of CSI, or a single bit indicator for jointly encoding multiple layers of CSI.

[0190] although Figure 7 An example box of process 700 is shown, but in some respects, process 700 may include... Figure 7 The boxes depicted in the diagram may be fewer, different, or arranged differently than additional boxes. Alternatively, two or more boxes in the process 700 may be executed in parallel.

[0191] Figure 8This is a diagram illustrating an example process 800 performed, for example, at a UE or a device of a UE, according to this disclosure. Example process 800 is an example in which a device or UE (e.g., UE 120 or device 1300) performs operations associated with the configuration of entropy decoding for channel state feedback.

[0192] like Figure 8 As shown, in some aspects, process 800 may include: receiving entropy decoding configuration information that identifies one or more parameters for transmitting a CSF message of entropy-decoded CSF, wherein the one or more parameters include parameters identifying at least one of: an entropy decoding algorithm, a probability quality function, whether the probability quality function is used on entries of the embedding vector, or a combination thereof (box 810). For example, a UE (e.g., using...) Figure 13 The depicted communication manager 140 and / or receiving component 1302 may receive entropy decoding configuration information that identifies one or more parameters for transmitting CSF messages of entropy-decoded CSF, wherein the one or more parameters include parameters that identify at least one of the following: entropy decoding algorithm, probability mass function, whether the probability mass function is used on entries of the embedding vector, or combinations thereof, as described above.

[0193] like Figure 8 Further, in some aspects, process 800 may include: sending a CSF message (block 820) for transmitting entropy-decoded CSF based on one or more parameters. For example, the UE (e.g., using...) Figure 13 The communication manager 140 and / or the transmitting component 1304 described herein may transmit CSF messages for transmitting entropy-decoded CSF according to one or more parameters, as described above.

[0194] Process 800 may include additional aspects, such as any single aspect or any combination of aspects described below and / or in conjunction with one or more other process descriptions elsewhere herein.

[0195] In the first aspect, the entropy decoding algorithm is a Huffman decoding algorithm, and the parameters include information on the lookup table mapping of identifier symbols to binary strings.

[0196] In the second aspect, either alone or in combination with the first aspect, the entropy decoding algorithm is an arithmetic decoding algorithm, and wherein the parameters include information identifying at least one of the following: the type of arithmetic decoding algorithm, the bit width used for the arithmetic decoding algorithm, an identifier for the termination of the coded sequence, an indicator regarding whether to include a sequence end symbol, or a combination thereof.

[0197] In the third aspect, either alone or in combination with one or more of the first and second aspects, the parameters include information indicating whether entropy decoding is applied on a per-layer basis of CSI or jointly applied to all layers of CSI.

[0198] In the fourth aspect, either alone or in combination with one or more of the first to third aspects, the parameters include information indicating whether to include an indicator of the length of the entropy decoded output or the end-of-sequence symbol in the CSF message.

[0199] In the fifth aspect, either alone or in combination with one or more of the first to fourth aspects, the parameters include information on enabling or disabling entropy decoding.

[0200] In the sixth aspect, either alone or in combination with one or more of the first to fifth aspects, the parameter is an adaptive entropy decoding bypass parameter based on each layer or each CSI report.

[0201] although Figure 8 An example box of process 800 is shown, but in some respects, process 800 may include... Figure 8 The boxes depicted in the diagram may be fewer, different, or arranged differently than additional boxes. Alternatively, two or more boxes in the process 800 may be executed in parallel.

[0202] Figure 9 This is a diagram illustrating an example process 900 performed, for example, at a UE or a device of a UE, according to this disclosure. Example process 900 is an example in which a device or UE (e.g., UE 120 or device 1300) performs operations associated with the configuration of entropy decoding for channel state feedback.

[0203] like Figure 9 As shown, in some aspects, process 900 may include: receiving entropy decoding configuration information, which identifies a set of parameters for transmitting CSF messages of entropy-decoded CSF, wherein the parameter set includes a payload size parameter (box 910). For example, the UE (e.g., using...) Figure 13 The depicted communication manager 140 and / or receiving component 1302 may receive entropy decoding configuration information that identifies a set of parameters for transmitting CSF messages of entropy-decoded CSF, wherein the set of parameters includes a payload size parameter, as described above.

[0204] like Figure 9 Further, as shown, in some aspects, process 900 may include: sending a CSF message for transmitting entropy-decoded CSF according to a parameter set (box 920). For example, the UE (e.g., using...) Figure 13The communication manager 140 and / or the transmitting component 1304 depicted may transmit CSF messages for transmitting entropy-decoded CSF according to a parameter set, as described above.

[0205] Process 900 may include additional aspects, such as any single aspect or any combination of aspects described below and / or in conjunction with one or more other process descriptions elsewhere herein.

[0206] In the first aspect, the entropy decoding configuration information includes an indication of whether to use a greedy bypass for the entropy decoding output used for CSF messages.

[0207] In the second aspect, either alone or in combination with the first aspect, the CSF message includes a greedy bypass for the entropy decoding output of the CSF message and an indicator of the CSF message including the greedy bypass of the entropy decoding output.

[0208] In the third aspect, either alone or in combination with one or more of the first and second aspects, the indicator of the CSF message including the entropy decoding output is a plurality of bit indicators for individually encoding multiple layers of CSI, or a single bit indicator for jointly encoding multiple layers of CSI.

[0209] although Figure 9 An example box of process 900 is shown, but in some respects, process 900 may include... Figure 9 The boxes depicted in the diagram may be compared to additional boxes, fewer boxes, different boxes, or boxes arranged in a different manner. Alternatively, two or more boxes in the process 900 may be executed in parallel.

[0210] Figure 10 This is a diagram illustrating an example process 1000 performed, for example, at a network node or a device of a network node, according to the present disclosure. Example process 1000 is an example in which a device or network node (e.g., network node 110 or device 1800) performs operations associated with the configuration of entropy decoding for channel state feedback.

[0211] like Figure 10 As shown, in some aspects, process 1000 may include: sending entropy decoding configuration information that identifies one or more fields for use in the payload of a CSF message that transmits entropy-decoded CSF (box 1010). For example, network nodes (e.g., using...) Figure 18 The depicted communication manager 150 and / or transmitting component 1804 can transmit entropy decoding configuration information that identifies one or more fields for use in the payload of a CSF message that transmits entropy-decoded CSF, as described above.

[0212] like Figure 10 Further shown, in some aspects, process 1000 may include: receiving a CSF message of a transmitted entropy-decoded CSF, the CSF message including one or more fields based on entropy decoding configuration information (box 1020). For example, a network node (e.g., using...) Figure 18 The depicted communication manager 150 and / or receiving component 1802 can receive CSF messages that transmit entropy-decoded CSF, the CSF messages including one or more fields based on entropy decoding configuration information as described above.

[0213] Process 1000 may include additional aspects, such as any single aspect or any combination of aspects described below and / or in conjunction with one or more other process descriptions elsewhere herein.

[0214] In a first aspect, process 1000 includes: receiving UE capability information indicating the capability for entropy decoding, and wherein transmitting entropy decoding configuration information includes transmitting entropy decoding configuration information as a response to transmitting UE capability information.

[0215] In a second aspect, either alone or in combination with the first aspect, process 1000 includes: sending CSI-RS for measurement; and decoding the measurement of the CSI-RS encoded in the CSF message using entropy decoding, based on entropy decoding configuration information and using a decoder.

[0216] In the third aspect, either alone or in combination with one or more of the first and second aspects, one or more fields include at least one of the following: a field indicating a parameter related to the length of the entropy decoding output, a field indicating a parameter related to the entropy decoding bypass indication, or a combination thereof.

[0217] In the fourth aspect, one or more fields are included in the first part of the CSF message, either alone or in combination with one or more of the first to third aspects.

[0218] In the fifth aspect, individually or in combination with one or more of the first to fourth aspects, one or more fields include at least one of the following: a field indicating a parameter related to the maximum payload of multiple layers of the CSF report across the CSF message, a field indicating a parameter related to the entropy decoding output of each of the multiple layers, a field indicating a parameter related to the total payload of multiple layers of the CSF report across the CSF message, or a combination thereof.

[0219] In the sixth aspect, either alone or in combination with one or more of the first to fifth aspects, one or more fields are included in the second part of the CSF message or in at least one of the uplink control information elements signaled in conjunction with the CSF message.

[0220] In the seventh aspect, either alone or in combination with one or more of the first to sixth aspects, the entropy decoding configuration information is signaled via at least one of the following: model identification message, model meta-information message, radio resource control configuration message, UE capability signaling message, or a combination thereof.

[0221] In the eighth aspect, either alone or in combination with one or more of the first to seventh aspects, the entropy decoding configuration information includes one or more parameters, which include at least one of the following: an entropy decoding algorithm, a probability mass function, whether the probability mass function is used on an entry of the embedding vector, or a combination thereof.

[0222] In the ninth aspect, either alone or in combination with one or more of the first to eighth aspects, the entropy decoding algorithm is a Huffman decoding algorithm, and wherein the entropy decoding configuration information includes parameters for mapping identifiers to binary strings.

[0223] In the tenth aspect, either alone or in combination with one or more of the first to ninth aspects, the entropy decoding algorithm is an arithmetic decoding algorithm, and wherein the entropy decoding configuration information includes parameters identifying at least one of the following: the type of arithmetic decoding algorithm, the bit width used for the arithmetic decoding algorithm, an identifier for the termination of the coded sequence, an indicator regarding whether to include a sequence end symbol, or a combination thereof.

[0224] In the eleventh aspect, alone or in combination with one or more of the first to tenth aspects, the parameters include information indicating whether to include an indicator of the length of the entropy decoded output or the end-of-sequence symbol in the CSF message.

[0225] In the twelfth aspect, either alone or in combination with one or more of the first to eleventh aspects, the parameters include information on enabling or disabling entropy decoding.

[0226] In the thirteenth aspect, either alone or in combination with one or more of the first to twelfth aspects, the entropy decoding configuration information includes parameters indicating whether entropy decoding is applied on a per-layer basis of CSI or jointly applied to all layers of CSI.

[0227] In the fourteenth aspect, either alone or in combination with one or more of the first to thirteenth aspects, the parameter is an adaptive entropy decoding bypass parameter based on each layer or each CSI report.

[0228] In the fifteenth aspect, alone or in combination with one or more of the first to fourteenth aspects, the entropy decoding information includes a parameter identifying the payload size of the CSI report included in the CSF message.

[0229] In the sixteenth aspect, alone or in combination with one or more of the first to fifteenth aspects, the entropy decoding configuration information includes an indication of whether to use a greedy bypass for the entropy decoding output used for CSF messages.

[0230] In the seventeenth aspect, alone or in combination with one or more of the first to sixteenth aspects, the CSF message includes a greedy bypass for the entropy decoding output of the CSF message and an indicator of the CSF message including the greedy bypass of the entropy decoding output.

[0231] In the eighteenth aspect, either alone or in combination with one or more of the first to seventeenth aspects, the indicator of the CSF message including the entropy decoded output greedily bypass is a plurality of bit indicators for individually encoding multiple layers of CSI, or a single bit indicator for jointly encoding multiple layers of CSI.

[0232] although Figure 10 An example box of process 1000 is shown, but in some respects, process 1000 may include... Figure 10 The boxes depicted in the diagram may be fewer, different, or arranged differently than additional boxes. Alternatively, two or more boxes in the process 1000 may be executed in parallel.

[0233] Figure 11 This is a diagram illustrating an example process 1100 performed, for example, at a network node or a device of a network node, according to the present disclosure. Example process 1100 is an example in which a device or network node (e.g., network node 110 or device 1800) performs operations associated with the configuration of entropy decoding for channel state feedback.

[0234] like Figure 11 As shown, in some aspects, process 1100 may include: sending entropy decoding configuration information that identifies one or more parameters for transmitting a CSF message of entropy-decoded CSF, wherein the one or more parameters include parameters identifying at least one of: an entropy decoding algorithm, a probability quality function, whether the probability quality function is used on entries of the embedding vector, or a combination thereof (box 1110). For example, network nodes (e.g., using...) Figure 18 The depicted communication manager 150 and / or transmitting component 1804 can transmit entropy decoding configuration information that identifies one or more parameters for transmitting CSF messages of entropy-decoded CSF, wherein the one or more parameters include parameters that identify at least one of the following: entropy decoding algorithm, probability mass function, whether the probability mass function is used on entries of the embedding vector, or combinations thereof, as described above.

[0235] like Figure 11Further shown, in some aspects, process 1100 may include: receiving a CSF message of transport entropy decoded CSF based on one or more parameters (box 1120). For example, a network node (e.g., using...) Figure 18 The communication manager 150 and / or receiving component 1802 depicted may receive CSF messages of transport entropy decoded CSF according to one or more parameters, as described above.

[0236] Process 1100 may include additional aspects, such as any single aspect or any combination of aspects described below and / or in conjunction with one or more other processes described elsewhere herein.

[0237] In the first aspect, the entropy decoding algorithm is a Huffman decoding algorithm, and the parameters include information on the lookup table mapping of identifier symbols to binary strings.

[0238] In the second aspect, either alone or in combination with the first aspect, the entropy decoding algorithm is an arithmetic decoding algorithm, and wherein the parameters include information identifying at least one of the following: the type of arithmetic decoding algorithm, the bit width used for the arithmetic decoding algorithm, an identifier for the termination of the coded sequence, an indicator regarding whether to include a sequence end symbol, or a combination thereof.

[0239] In the third aspect, either alone or in combination with one or more of the first and second aspects, the parameters include information indicating whether entropy decoding is applied on a per-layer basis of CSI or jointly applied to all layers of CSI.

[0240] In the fourth aspect, either alone or in combination with one or more of the first to third aspects, the parameters include information indicating whether to include an indicator of the length of the entropy decoded output or the end-of-sequence symbol in the CSF message.

[0241] In the fifth aspect, either alone or in combination with one or more of the first to fourth aspects, the parameters include information on enabling or disabling entropy decoding.

[0242] In the sixth aspect, either alone or in combination with one or more of the first to fifth aspects, the parameter is an adaptive entropy decoding bypass parameter based on each layer or each CSI report.

[0243] although Figure 11 An example box of process 1100 is shown, but in some respects, process 1100 may include... Figure 11 The boxes depicted in the diagram may be fewer, different, or arranged differently than additional boxes. Alternatively, two or more boxes in the process 1100 may be executed in parallel.

[0244] Figure 12This is a diagram illustrating an example process 1200 performed, for example, at a network node or a device of a network node, according to the present disclosure. Example process 1200 is an example in which a device or network node (e.g., network node 110 or device 1800) performs operations associated with the configuration of entropy decoding for channel state feedback.

[0245] like Figure 12 As shown, in some aspects, process 1200 may include: sending entropy decoding configuration information that identifies a set of parameters for transmitting CSF messages of entropy-decoded CSF, wherein the parameter set includes a payload size parameter (box 1210). For example, network nodes (e.g., using...) Figure 18 The depicted communication manager 150 and / or transmitting component 1804 can transmit entropy decoding configuration information that identifies a set of parameters for transmitting CSF messages of entropy-decoded CSF, wherein the set of parameters includes a payload size parameter, as described above.

[0246] like Figure 12 Further shown, in some aspects, process 1200 may include: receiving a CSF message of transport entropy decoded CSF according to a parameter set (box 1220). For example, a network node (e.g., using...) Figure 18 The communication manager 150 and / or receiving component 1802 depicted can receive CSF messages of transport entropy decoded CSF according to a parameter set, as described above.

[0247] Process 1200 may include additional aspects, such as any single aspect or any combination of aspects described below and / or in conjunction with one or more other processes described elsewhere herein.

[0248] In the first aspect, the entropy decoding configuration information includes an indication of whether to use a greedy bypass for the entropy decoding output used for CSF messages.

[0249] In the second aspect, either alone or in combination with the first aspect, the CSF message includes a greedy bypass for the entropy decoding output of the CSF message and an indicator of the CSF message including the greedy bypass of the entropy decoding output.

[0250] In the third aspect, either alone or in combination with one or more of the first and second aspects, the indicator of the CSF message including the entropy decoding output is a plurality of bit indicators for individually encoding multiple layers of CSI, or a single bit indicator for jointly encoding multiple layers of CSI.

[0251] although Figure 12 An example box of process 1200 is shown, but in some respects, process 1200 may include... Figure 12The boxes depicted in the diagram may be fewer, different, or arranged differently than additional boxes. Alternatively, two or more boxes in the process 1200 may be executed in parallel.

[0252] Figure 13 This is a diagram of an example device 1300 for wireless communication according to the present disclosure. Device 1300 may be a UE, or a UE may include device 1300. In some aspects, device 1300 includes a receiving component 1302 and a transmitting component 1304 that can communicate with each other (e.g., via one or more buses and / or one or more other components). As shown, device 1300 may use the receiving component 1302 and the transmitting component 1304 to communicate with another device 1306 (such as a UE, a base station, or another wireless communication device). As further shown, device 1300 may include a communication manager 140. Communication manager 140 may include one or more of a measurement component 1308, an encoder component 1310, or a vector quantizer component 1312, etc.

[0253] In some respects, device 1300 can be configured to perform the functions described herein. Figures 6A to 6F One or more operations described herein. Additionally or alternatively, the apparatus 1300 may be configured to perform one or more processes described herein, such as Figure 7 Process 700 Figure 8 The process 800 Figure 9 The process 900 or a combination thereof. In some respects, Figure 13 The illustrated device 1300 and / or one or more components may include a combination Figure 2 One or more components of the described UE. Additionally or alternatively, Figure 13 One or more components shown can be combined Figure 2 Implementation within one or more components described. Additionally or alternatively, one or more components in the set of components may be implemented at least partially as software stored in one or more memories. For example, a component (or a portion thereof) may be implemented as instructions or code stored in a non-transitory computer-readable medium and executable by one or more controllers or one or more processors to perform the function or operation of the component.

[0254] Receiver 1302 may receive communications from device 1306, such as reference signals, control information, data communications, or combinations thereof. Receiver 1302 may provide the received communications to one or more other components of device 1300. In some aspects, receiver 1302 may perform signal processing on the received communications (such as filtering, amplification, demodulation, analog-to-digital conversion, demultiplexing, deinterleaving, demapping, equalization, interference cancellation, or decoding, etc.) and may provide the processed signals to one or more other components of device 1300. In some aspects, receiver 1302 may include combinations of... Figure 2 The described UE includes one or more antennas, one or more modems, one or more demodulators, one or more MIMO detectors, one or more receiver processors, one or more controllers / processors, one or more memories, or combinations thereof.

[0255] Transmitting component 1304 may transmit communications, such as reference signals, control information, data communications, or combinations thereof, to device 1306. In some aspects, one or more other components of device 1300 may generate communications and provide the generated communications to transmitting component 1304 for transmission to device 1306. In some aspects, transmitting component 1304 may perform signal processing (such as filtering, amplification, modulation, digital-to-analog conversion, multiplexing, interleaving, mapping, or encoding, etc.) on the generated communications and may transmit the processed signals to device 1306. In some aspects, transmitting component 1304 may include combinations of... Figure 2 The described UE may include one or more antennas, one or more modems, one or more modulators, one or more transmit MIMO processors, one or more transmit processors, one or more controllers / processors, one or more memories, or combinations thereof. In some aspects, the transmit component 1304 may co-located with the receive component 1302 in one or more transceivers.

[0256] The receiving component 1302 can receive entropy decoding configuration information, which identifies one or more fields to be included in the payload of a CSF message for transmitting entropy-decoded CSF. The transmitting component 1304 can transmit a CSF message for transmitting entropy-decoded CSF, which includes one or more fields according to the entropy decoding configuration information.

[0257] Transmitting component 1304 can transmit UE capability information indicating the ability to perform entropy decoding. Receiving component 1302 can receive CSI-RS. Measurement component 1308 can perform measurements on the CSI-RS. Encoder component 1310 can encode the CSI-RS measurements using entropy decoding based on entropy decoding configuration information and using an encoder to generate at least a portion of the payload of the CSF message. Vector quantization component 1312 can quantize a set of vectors representing the data of the CSF message.

[0258] Receiving component 1302 can receive entropy decoding configuration information, which identifies one or more parameters for transmitting CSF messages of entropy-decoded CSF, wherein the one or more parameters include parameters identifying at least one of: entropy decoding algorithm, probability mass function, whether the probability mass function is used on entries of the embedding vector, or a combination thereof. Transmitting component 1304 can transmit CSF messages of entropy-decoded CSF according to one or more parameters. Receiving component 1302 can receive entropy decoding configuration information, which identifies a set of parameters for transmitting CSF messages of entropy-decoded CSF, wherein the set of parameters includes a payload size parameter. Transmitting component 1304 can transmit CSF messages of entropy-decoded CSF according to the parameter set.

[0259] Figure 13 The number and arrangement of components shown are provided as an example. In practice, different arrangements may exist. Figure 13 The components shown are compared to additional components, fewer components, different components, or components arranged in a different manner. Furthermore, Figure 13 The two or more components shown can be implemented within a single component, or Figure 13 The single component shown can be implemented as multiple distributed components. Additionally or alternatively, Figure 13 The set (one or more) components shown are executable descriptions by Figure 13 The other set of components shown performs one or more functions.

[0260] Figure 14 This is an illustration of an example 1400 of a hardware implementation of a device 1405 employing a processing system 1410 according to the present disclosure. The device 1405 may be a UE or may be located at a UE (e.g., included in a UE).

[0261] Processing system 1410 may be implemented using a bus architecture generally represented by bus 1415. Bus 1415 may include any number of interconnect buses and bridges, depending on the specific application of processing system 1410 and overall design constraints. Bus 1415 links together various circuits including one or more processors and / or hardware components (represented by processor (or processing circuitry) 1420, illustrated components, and computer-readable medium / memory (or memory circuitry) 1425). Processor 1420 may include multiple processors, such as processor 1420a, memory 1420b, and memory 1420c. Memory 1425 may include multiple memories, such as memory 1425a, memory 1425b, and memory 1425c. Bus 1415 may also link various other circuits, such as timing sources, peripherals, voltage regulators, and / or power management circuitry.

[0262] Processing system 1410 may be coupled to one or more transceivers 1430. Transceiver 1430 is coupled to one or more antennas 1435. Transceiver 1430 provides components for communicating with various other devices via a transmission medium. Transceiver 1430 receives signals from one or more antennas 1435, extracts information from the received signals, and provides the extracted information to processing system 1410 (specifically, receiving component 1302). Additionally, transceiver 1430 receives information from processing system 1410 (specifically, transmitting component 1304) and generates signals to be applied to one or more antennas 1435, at least in part, based on the received information.

[0263] Processing system 1410 includes one or more processors 1420 coupled to computer-readable medium / memory 1425. Processor 1420 is responsible for general processing, including executing software stored on computer-readable medium / memory 1425. When executed by processor 1420, the software causes processing system 1410 to perform the various functions described herein with respect to any particular device. Computer-readable medium / memory 1425 can also be used to store data manipulated by processor 1420 during software execution. The processing system also includes at least one of the illustrated components. A component may be: a software module running in processor 1420, residing in / stored in computer-readable medium / memory 1425, one or more hardware modules coupled to processor 1420, or some combination thereof.

[0264] In some aspects, the processing system 1410 may be a component of the UE 120 and may include one or more memories (such as memory 282), and / or may include one or more processors (such as at least one of a TX MIMO processor 266, an RX processor 258, and / or a controller / processor 280). In some aspects, the apparatus 1405 for wireless communication includes: components for receiving entropy decoding configuration information that identifies one or more fields to be included in the payload of a CSF message for transmitting entropy-decoded CSF; and / or components for transmitting a CSF message for transmitting entropy-decoded CSF, the CSF message including one or more fields according to the entropy decoding configuration information. In some aspects, the apparatus 1405 for wireless communication includes: a component for receiving entropy decoding configuration information, the entropy decoding configuration information identifying one or more parameters for transmitting a CSF message of entropy-decoded CSF, wherein the one or more parameters include parameters identifying at least one of: an entropy decoding algorithm, a probability mass function, whether the probability mass function is used on an entry of an embedding vector, or a combination thereof; and / or a component for transmitting the CSF message of entropy-decoded CSF according to the one or more parameters. In some aspects, the apparatus 1405 for wireless communication includes: a component for receiving entropy decoding configuration information, the entropy decoding configuration information identifying a set of parameters for transmitting a CSF message of entropy-decoded CSF, wherein the parameter set includes a payload size parameter; and / or a component for transmitting the CSF message of entropy-decoded CSF according to the parameter set. The aforementioned components may be one or more of the aforementioned components of the processing system 1410 of apparatus 1300 and / or apparatus 1405, configured to perform the functions stated by the aforementioned components. As described elsewhere herein, the processing system 1410 may include a TX MIMO processor 266, an RX processor 258, and / or a controller / processor 280. In one configuration, the aforementioned components may be the TX MIMO processor 266, the RX processor 258, and / or the controller / processor 280 configured to perform the functions and / or operations set forth herein.

[0265] Figure 14 This is provided as an example. Other examples can be combined with it. Figure 14 The examples described are different.

[0266] Figure 15 This is a diagram illustrating an example 1500 of a specific implementation of code and circuitry for device 1505 according to the present disclosure. The circuitry may include processing circuitry and memory circuitry. Device 1505 may be a UE, or a UE may include device 1505.

[0267] like Figure 15As shown, apparatus 1505 may include circuitry for receiving entropy decoding configuration information that identifies one or more fields to be included in the payload of a CSF message transmitting entropy-decoded CSF (circuitry 1520). For example, circuitry 1520 may enable apparatus 1505 to receive entropy decoding configuration information that identifies one or more fields to be included in the payload of a CSF message transmitting entropy-decoded CSF.

[0268] like Figure 15 As shown, apparatus 1505 may include code stored in computer-readable medium 1425 for receiving entropy decoding configuration information that identifies one or more fields to be included in the payload of a CSF message transmitting entropy-decoded CSF (code 1525). For example, when executed by processor 1420, code 1525 may cause processor 1420 to: cause transceiver 1430 to receive entropy decoding configuration information that identifies one or more fields to be included in the payload of a CSF message transmitting entropy-decoded CSF.

[0269] like Figure 15 As shown, apparatus 1505 may include circuitry for transmitting a CSF message for transmitting entropy-decoded CSF, the CSF message including one or more fields based on entropy decoding configuration information (circuitry 1530). For example, circuitry 1530 may enable apparatus 1505 to transmit a CSF message for transmitting entropy-decoded CSF, the CSF message including one or more fields based on entropy decoding configuration information.

[0270] like Figure 15 As shown, apparatus 1505 may include: code stored in computer-readable medium 1425 for transmitting a CSF message for transmitting entropy-decoded CSF, the CSF message including one or more fields according to entropy decoding configuration information (code 1535). For example, when executed by processor 1420, code 1535 may cause processor 1420 to: cause transceiver 1430 to transmit a CSF message for transmitting entropy-decoded CSF, the CSF message including one or more fields according to entropy decoding configuration information.

[0271] Figure 15 This is provided as an example. Other examples can be combined with it. Figure 15 The examples described are different.

[0272] Figure 16 This is an illustration of an example 1600 of a specific implementation of code and circuitry for device 1605 according to this disclosure. Device 1605 may be a UE, or a UE may include device 1605.

[0273] like Figure 16As shown, device 1605 may include circuitry for receiving entropy decoding configuration information that identifies one or more parameters for transmitting a CSF message of entropy-decoded CSF, wherein the one or more parameters include parameters identifying at least one of the following: an entropy decoding algorithm, a probability quality function, whether the probability quality function is used on an entry of the embedding vector, or a combination thereof (circuit 1620). For example, circuit 1620 may enable device 1605 to receive entropy decoding configuration information that identifies one or more parameters for transmitting a CSF message of entropy-decoded CSF, wherein the one or more parameters include parameters identifying at least one of the following: an entropy decoding algorithm, a probability quality function, whether the probability quality function is used on an entry of the embedding vector, or a combination thereof.

[0274] like Figure 16 As shown, apparatus 1605 may include: code stored in computer-readable medium 1425 for receiving entropy decoding configuration information, the entropy decoding configuration information identifying one or more parameters for transmitting CSF messages of entropy-decoded CSF, wherein the one or more parameters include parameters identifying at least one of: an entropy decoding algorithm, a probability mass function, whether the probability mass function is used on entries of the embedding vector, or a combination thereof (code 1625). For example, when executed by processor 1420, code 1625 may cause processor 1420 to: cause transceiver 1430 to receive entropy decoding configuration information, the entropy decoding configuration information identifying one or more parameters for transmitting CSF messages of entropy-decoded CSF, wherein the one or more parameters include parameters identifying at least one of: an entropy decoding algorithm, a probability mass function, whether the probability mass function is used on entries of the embedding vector, or a combination thereof.

[0275] like Figure 16 As shown, apparatus 1605 may include circuitry (circuit 1630) for transmitting a CSF message for entropy-decoded CSF based on one or more parameters. For example, circuitry 1630 may enable apparatus 1605 to transmit a CSF message for entropy-decoded CSF based on one or more parameters.

[0276] like Figure 16 As shown, apparatus 1605 may include: code (code 1635) stored in computer-readable medium 1425 for transmitting a CSF message for transmitting entropy-decoded CSF according to one or more parameters. For example, when executed by processor 1420, code 1635 may cause processor 1420 to: cause transceiver 1430 to transmit a CSF message for transmitting entropy-decoded CSF according to one or more parameters.

[0277] Figure 16 This is provided as an example. Other examples can be combined with it. Figure 16 The examples described are different.

[0278] Figure 17 This is an illustration of an example 1700 of a specific implementation of code and circuitry for device 1705 according to this disclosure. Device 1705 may be a UE, or a UE may include device 1705.

[0279] like Figure 17 As shown, device 1705 may include circuitry for receiving entropy decoding configuration information, which identifies a set of parameters for transmitting CSF messages of entropy-decoded CSF, wherein the parameter set includes a payload size parameter (circuit 1720). For example, circuit 1720 may enable device 1705 to receive entropy decoding configuration information, which identifies a set of parameters for transmitting CSF messages of entropy-decoded CSF, wherein the parameter set includes a payload size parameter.

[0280] like Figure 17 As shown, apparatus 1705 may include: code stored in computer-readable medium 1425 for receiving entropy decoding configuration information, the entropy decoding configuration information identifying a set of parameters for transmitting CSF messages of entropy-decoded CSF, wherein the parameter set includes a payload size parameter (code 1725). For example, when executed by processor 1420, code 1725 may cause processor 1420 to: cause transceiver 1430 to receive entropy decoding configuration information, the entropy decoding configuration information identifying a set of parameters for transmitting CSF messages of entropy-decoded CSF, wherein the parameter set includes a payload size parameter.

[0281] like Figure 17 As shown, apparatus 1705 may include circuitry (circuit 1730) for transmitting a CSF message for entropy-decoded CSF according to a parameter set. For example, circuitry 1730 may enable apparatus 1705 to transmit a CSF message for entropy-decoded CSF according to a parameter set.

[0282] like Figure 17 As shown, apparatus 1705 may include: code (code 1735) stored in computer-readable medium 1425 for transmitting a CSF message for transmitting entropy-decoded CSF according to a parameter set. For example, when executed by processor 1420, code 1735 may cause processor 1420 to: cause transceiver 1430 to transmit a CSF message for transmitting entropy-decoded CSF according to a parameter set.

[0283] Figure 17 This is provided as an example. Other examples can be combined with it. Figure 17 The examples described are different.

[0284] Figure 18This is a diagram of an example device 1800 for wireless communication according to the present disclosure. Device 1800 may be a network node, or a network node may include device 1800. In some aspects, device 1800 includes a receiving component 1802 and a transmitting component 1804 that can communicate with each other (e.g., via one or more buses and / or one or more other components). As shown, device 1800 can use the receiving component 1802 and the transmitting component 1804 to communicate with another device 1806 (such as a UE, a base station, or another wireless communication device). As further shown, device 1800 may include a communication manager 150. Communication manager 150 may include one or more of a decoder component 1808 or a vector dequantizer component 1810, etc.

[0285] In some respects, device 1800 can be configured to perform the functions described herein. Figures 6A to 6F One or more operations described herein. Additionally or alternatively, the apparatus 1800 may be configured to perform one or more processes described herein, such as Figure 10 Process 1000 Figure 11 Process 1100 Figure 12 The process 1200 or a combination thereof. In some respects, Figure 18 The device 1800 and / or one or more components shown may include a combination Figure 2 One or more components of the described network node. Additionally or alternatively, Figure 18 One or more components shown can be combined Figure 2 Implementation within one or more components described. Additionally or alternatively, one or more components in the set of components may be implemented at least partially as software stored in one or more memories. For example, a component (or a portion thereof) may be implemented as instructions or code stored in a non-transitory computer-readable medium and executable by one or more controllers or one or more processors to perform the function or operation of the component.

[0286] Receiver 1802 may receive communications from device 1806, such as reference signals, control information, data communications, or combinations thereof. Receiver 1802 may provide the received communications to one or more other components of device 1800. In some aspects, receiver 1802 may perform signal processing on the received communications (such as filtering, amplification, demodulation, analog-to-digital conversion, demultiplexing, deinterleaving, demapping, equalization, interference cancellation, or decoding, etc.) and may provide the processed signals to one or more other components of device 1800. In some aspects, receiver 1802 may include combinations of... Figure 2The network node described includes one or more antennas, one or more modems, one or more demodulators, one or more MIMO detectors, one or more receiver processors, one or more controllers / processors, one or more memories, or combinations thereof.

[0287] Transmitting component 1804 may transmit communications, such as reference signals, control information, data communications, or combinations thereof, to device 1806. In some aspects, one or more other components of device 1800 may generate communications and provide the generated communications to transmitting component 1804 for transmission to device 1806. In some aspects, transmitting component 1804 may perform signal processing (such as filtering, amplification, modulation, digital-to-analog conversion, multiplexing, interleaving, mapping, or encoding, etc.) on the generated communications and may transmit the processed signals to device 1806. In some aspects, transmitting component 1804 may include combinations of... Figure 2 The described network node includes one or more antennas, one or more modems, one or more modulators, one or more transmit MIMO processors, one or more transmit processors, one or more controllers / processors, one or more memories, or combinations thereof. In some aspects, the transmit component 1804 may co-located with the receive component 1802 in one or more transceivers.

[0288] Transmitting component 1804 can transmit entropy decoding configuration information, which identifies one or more fields for inclusion in the payload of a CSF message transmitting entropy-decoded CSF. Receiving component 1802 can receive a CSF message transmitting entropy-decoded CSF, which includes one or more fields according to the entropy decoding configuration information. Receiving component 1802 can receive UE capability information indicating the capability for entropy decoding. Transmitting component 1804 can transmit CSI-RS for measurement. Decoder component 1808 can decode the CSI-RS measurements encoded in the CSF message using entropy decoding, according to the entropy decoding configuration information and using a decoder. Vector dequantizer component 1810 can dequantize the set of values ​​to recover the set of vectors representing the CSF data.

[0289] Transmitting component 1804 can transmit entropy decoding configuration information, which identifies one or more parameters for transmitting CSF messages of entropy-decoded CSF, wherein the one or more parameters include parameters identifying at least one of: entropy decoding algorithm, probability mass function, whether the probability mass function is used on entries of the embedding vector, or a combination thereof. Receiving component 1802 can receive CSF messages of entropy-decoded CSF based on one or more parameters. Transmitting component 1804 can transmit entropy decoding configuration information, which identifies a set of parameters for transmitting CSF messages of entropy-decoded CSF, wherein the set of parameters includes a payload size parameter. Receiving component 1802 can receive CSF messages of entropy-decoded CSF based on the parameter set.

[0290] Figure 18 The number and arrangement of components shown are provided as an example. In practice, different arrangements may exist. Figure 18 The components shown are compared to additional components, fewer components, different components, or components arranged in a different manner. Furthermore, Figure 18 The two or more components shown can be implemented within a single component, or Figure 18 The single component shown can be implemented as multiple distributed components. Additionally or alternatively, Figure 18 The set (one or more) components shown are executable descriptions by Figure 18 The other set of components shown performs one or more functions.

[0291] Figure 19 This is an illustration of an example 1900 of a hardware implementation of a device 1905 for employing a processing system 1910 according to the present disclosure. The device 1905 may be a network node or may be located at a network node (e.g., included in a network node).

[0292] Processing system 1910 can be implemented using a bus architecture generally represented by bus 1915. Bus 1915 may include any number of interconnect buses and bridges, depending on the specific application of processing system 1910 and overall design constraints. Bus 1915 links together various circuits including one or more processors and / or hardware components (represented by processor (or processing circuitry) 1920, illustrated components, and computer-readable medium / memory (or memory circuitry) 1925). Processor 1920 may include multiple processors, such as processor 1920a, memory 1920b, and memory 1920c. Memory 1925 may include multiple memories, such as memory 1925a, memory 1925b, and memory 1925c. Bus 1915 may also link various other circuits, such as timing sources, peripherals, voltage regulators, and / or power management circuitry.

[0293] Processing system 1910 may be coupled to one or more transceivers 1930. Transceiver 1930 is coupled to one or more antennas 1935. Transceiver 1930 provides components for communicating with various other devices via a transmission medium. Transceiver 1930 receives signals from one or more antennas 1935, extracts information from the received signals, and provides the extracted information to processing system 1910 (specifically, receiving component 1802). Additionally, transceiver 1930 receives information from processing system 1910 (specifically, transmitting component 1804) and generates signals to be applied to one or more antennas 1935, at least in part, based on the received information.

[0294] Processing system 1910 includes one or more processors 1920 coupled to computer-readable medium / memory 1925. Processor 1920 is responsible for general processing, including executing software stored on computer-readable medium / memory 1925. When executed by processor 1920, the software causes processing system 1910 to perform the various functions described herein with respect to any particular device. Computer-readable medium / memory 1925 can also be used to store data manipulated by processor 1920 during software execution. The processing system also includes at least one of the illustrated components. A component may be: a software module running in processor 1920, residing in / stored on computer-readable medium / memory 1925, one or more hardware modules coupled to processor 1920, or some combination thereof.

[0295] In some aspects, the processing system 1910 may be a component of the network node 110 and may include one or more memories (such as memory 242), and / or may include one or more processors (such as at least one of TX MIMO processor 216, RX processor 238, and / or controller / processor 240). In some aspects, the apparatus 1905 for wireless communication includes: components for transmitting entropy decoding configuration information that identifies one or more fields for inclusion in the payload of a CSF message transmitting entropy-decoded CSF; and / or components for receiving a CSF message transmitting entropy-decoded CSF that includes one or more fields according to the entropy decoding configuration information. In some aspects, the apparatus 1905 for wireless communication includes: a component for transmitting entropy decoding configuration information, the entropy decoding configuration information identifying one or more parameters for transmitting CSF messages of entropy-decoded CSF, wherein the one or more parameters include parameters identifying at least one of: an entropy decoding algorithm, a probability mass function, whether the probability mass function is used on an entry of an embedding vector, or a combination thereof; and / or a component for receiving CSF messages of entropy-decoded CSF based on the one or more parameters. In some aspects, the apparatus 1905 for wireless communication includes: a component for transmitting entropy decoding configuration information, the entropy decoding configuration information identifying a set of parameters for transmitting CSF messages of entropy-decoded CSF, wherein the parameter set includes a payload size parameter; and / or a component for receiving CSF messages of entropy-decoded CSF based on the parameter set. The aforementioned components may be one or more of the aforementioned components of the processing system 1910 of apparatus 1800 and / or apparatus 1905, configured to perform the functions stated by the aforementioned components. As described elsewhere herein, the processing system 1910 may include a TX MIMO processor 216, a receiver processor 238, and / or a controller / processor 240. In one configuration, the aforementioned components may be the TX MIMO processor 216, the receiver processor 238, and / or the controller / processor 240 configured to perform the functions and / or operations set forth herein.

[0296] Figure 19 This is provided as an example. Other examples can be combined with it. Figure 19 The examples described are different.

[0297] Figure 20 This is an illustration of an example 2000 illustrating a specific implementation of code and circuitry for device 2005 according to this disclosure. The circuitry may include processing circuitry and memory circuitry. Device 2005 may be a network node, or a network node may include device 2005.

[0298] like Figure 20As shown, apparatus 2005 may include circuitry for transmitting entropy decoding configuration information, which identifies one or more fields for inclusion in the payload of a CSF message transmitting entropy-decoded CSF (circuit 2020). For example, circuit 2020 may enable apparatus 2005 to transmit entropy decoding configuration information, which identifies one or more fields for inclusion in the payload of a CSF message transmitting entropy-decoded CSF.

[0299] like Figure 20 As shown, apparatus 2005 may include code stored in computer-readable medium 1925 for transmitting entropy decoding configuration information, which identifies one or more fields for inclusion in the payload of a CSF message transmitting entropy-decoded CSF (code 2025). For example, when executed by processor 1920, code 2025 may cause processor 1920 to: cause transceiver 1930 to transmit entropy decoding configuration information, which identifies one or more fields for inclusion in the payload of a CSF message transmitting entropy-decoded CSF.

[0300] like Figure 20 As shown, apparatus 2005 may include circuitry for receiving a CSF message of a transmitted entropy-decoded CSF, the CSF message including one or more fields according to entropy decoding configuration information (circuitry 2030). For example, circuitry 2030 may enable apparatus 2005 to receive a CSF message of a transmitted entropy-decoded CSF, the CSF message including one or more fields according to entropy decoding configuration information.

[0301] like Figure 20 As shown, apparatus 2005 may include: code stored in computer-readable medium 1925 for receiving a CSF message of transmitted entropy-decoded CSF, the CSF message including one or more fields according to entropy decoding configuration information (code 2035). For example, when executed by processor 1920, code 2035 may cause processor 1920 to: cause transceiver 1930 to receive a CSF message of transmitted entropy-decoded CSF, the CSF message including one or more fields according to entropy decoding configuration information.

[0302] Figure 20 This is provided as an example. Other examples can be combined with it. Figure 20 The examples described are different.

[0303] Figure 21 This is a diagram illustrating an example 2100 of a specific implementation of code and circuitry for device 2105 according to the present disclosure. Device 2105 may be a network node, or a network node may include device 2105.

[0304] like Figure 21As shown, device 2105 may include circuitry for transmitting entropy decoding configuration information, which identifies one or more parameters for transmitting a CSF message of entropy-decoded CSF, wherein the one or more parameters include parameters identifying at least one of the following: an entropy decoding algorithm, a probability quality function, whether the probability quality function is used on an entry of the embedding vector, or a combination thereof (circuit 2120). For example, circuit 2120 may enable device 2105 to transmit entropy decoding configuration information, which identifies one or more parameters for transmitting a CSF message of entropy-decoded CSF, wherein the one or more parameters include parameters identifying at least one of the following: an entropy decoding algorithm, a probability quality function, whether the probability quality function is used on an entry of the embedding vector, or a combination thereof.

[0305] like Figure 21 As shown, apparatus 2105 may include: code stored in computer-readable medium 1925 for transmitting entropy decoding configuration information, the entropy decoding configuration information identifying one or more parameters for transmitting CSF messages of entropy-decoded CSF, wherein the one or more parameters include parameters identifying at least one of: an entropy decoding algorithm, a probability mass function, whether the probability mass function is used on entries of the embedding vector, or a combination thereof (code 2125). For example, when executed by processor 1920, code 2125 may cause processor 1920 to: cause transceiver 1930 to transmit entropy decoding configuration information, the entropy decoding configuration information identifying one or more parameters for transmitting CSF messages of entropy-decoded CSF, wherein the one or more parameters include parameters identifying at least one of: an entropy decoding algorithm, a probability mass function, whether the probability mass function is used on entries of the embedding vector, or a combination thereof.

[0306] like Figure 21 As shown, device 2105 may include circuitry (circuit 2130) for receiving CSF messages of transport entropy decoded CSF according to one or more parameters. For example, circuitry 2130 may enable device 2105 to receive CSF messages of transport entropy decoded CSF according to one or more parameters.

[0307] like Figure 21 As shown, apparatus 2105 may include: code (code 2135) stored in computer-readable medium 1925 for receiving CSF messages of transport entropy-decoded CSF according to one or more parameters. For example, when executed by processor 1920, code 2135 may cause processor 1920 to: cause transceiver 1930 to receive CSF messages of transport entropy-decoded CSF according to one or more parameters.

[0308] Figure 21 This is provided as an example. Other examples can be combined with it. Figure 21The examples described are different.

[0309] Figure 22 This is a diagram illustrating an example 2200 of a specific implementation of code and circuitry for device 2205 according to the present disclosure. Device 2205 may be a network node, or a network node may include device 2205.

[0310] like Figure 22 As shown, device 2205 may include circuitry for transmitting entropy decoding configuration information, which identifies a set of parameters for transmitting CSF messages of entropy-decoded CSF, wherein the parameter set includes a payload size parameter (circuit 2220). For example, circuitry 2220 may enable device 2205 to transmit entropy decoding configuration information, which identifies a set of parameters for transmitting CSF messages of entropy-decoded CSF, wherein the parameter set includes a payload size parameter.

[0311] like Figure 22 As shown, apparatus 2205 may include: code stored in computer-readable medium 1925 for transmitting entropy decoding configuration information, the entropy decoding configuration information identifying a set of parameters for transmitting CSF messages of entropy-decoded CSF, wherein the parameter set includes a payload size parameter (code 2225). For example, when executed by processor 1920, code 2225 may cause processor 1920 to: cause transceiver 1930 to transmit entropy decoding configuration information, the entropy decoding configuration information identifying a set of parameters for transmitting CSF messages of entropy-decoded CSF, wherein the parameter set includes a payload size parameter.

[0312] like Figure 22 As shown, apparatus 2205 may include circuitry (circuit 2230) for receiving CSF messages of transport entropy decoded CSF according to a parameter set. For example, circuitry 2230 may enable apparatus 2205 to receive CSF messages of transport entropy decoded CSF according to a parameter set.

[0313] like Figure 22 As shown, apparatus 2205 may include: code (code 2235) stored in computer-readable medium 1925 for receiving CSF messages of transport entropy-decoded CSF according to a parameter set. For example, when executed by processor 1920, code 2235 may cause processor 1920 to: cause transceiver 1930 to receive CSF messages of transport entropy-decoded CSF according to a parameter set.

[0314] Figure 22 This is provided as an example. Other examples can be combined with it. Figure 22 The examples described are different.

[0315] Aspect 1: A method of wireless communication performed at a user equipment (UE), the method comprising: receiving entropy decoding configuration information, the entropy decoding configuration information identifying one or more fields to be included in the payload of a channel state feedback (CSF) message for transmitting entropy decoding; and sending the CSF message for transmitting the CSF of the entropy decoding, the CSF message including the one or more fields according to the entropy decoding configuration information.

[0316] Aspect 2: According to the method of aspect 1, the method further includes: sending UE capability information indicating the capability for entropy decoding; and wherein receiving the entropy decoding configuration information includes: receiving the entropy decoding configuration information as a response to sending the UE capability information.

[0317] Aspect 3: The method according to any one of Aspects 1 to 2, the method further comprising: receiving a Channel State Information (CSI) Reference Signal (S) (CSI-RS); performing a measurement of the CSI-RS; and encoding the measurement of the CSI-RS using entropy decoding according to the entropy decoding configuration information and using an encoder to generate at least a portion of the payload of the CSF message; and wherein sending the CSF message comprises: sending the CSF message to transmit the at least a portion of the payload of the CSF message, wherein sending the CSF message comprises: sending the CSF message to transmit the at least a portion of the payload of the CSF message.

[0318] Aspect 4: The method according to any one of Aspects 1 to 3, wherein the one or more fields include at least one of the following: a field indicating a parameter related to the length of the entropy decoding output, a field indicating a parameter related to the entropy decoding bypass indication, or a combination thereof.

[0319] Aspect 5: According to the method of aspect 4, the one or more fields are included in the first part of the CSF message.

[0320] Aspect 6: The method according to any one of Aspects 1 to 5, wherein the one or more fields include at least one of the following: a field indicating a parameter related to the maximum payload of a plurality of layers of a CSF report across the CSF message, a field indicating a parameter related to the entropy decoding output of each of the plurality of layers, a field indicating a parameter related to the total payload of the plurality of layers of the CSF report across the CSF message, or a combination thereof.

[0321] Aspect 7: According to the method of aspect 6, wherein one or more fields are included in at least one of the second part of the CSF message or the uplink control information element signaled in conjunction with the CSF message.

[0322] Aspect 8: The method according to any one of Aspects 1 to 7, wherein the entropy decoding configuration information is signaled via at least one of: a model identification message, a model meta-information message, a radio resource control configuration message, a UE capability signaling message, or a combination thereof.

[0323] Aspect 9: The method according to any one of Aspects 1 to 8, wherein the entropy decoding configuration information includes one or more parameters, the one or more parameters including a parameter identifying at least one of the following: an entropy decoding algorithm, a probability mass function, whether the probability mass function is used on an entry of the embedding vector, or a combination thereof.

[0324] Aspect 10: The method according to any one of Aspects 1 to 9, wherein the entropy decoding algorithm is a Huffman decoding algorithm, and wherein the entropy decoding configuration information includes parameters for mapping identifiers to binary strings.

[0325] Aspect 11: The method according to any one of Aspects 1 to 10, wherein the entropy decoding algorithm is an arithmetic decoding algorithm, and wherein the entropy decoding configuration information includes parameters identifying at least one of the following: the type of the arithmetic decoding algorithm, the bit width for the arithmetic decoding algorithm, an identifier for the termination of the encoded sequence, an indicator regarding whether to include a sequence end symbol, or a combination thereof.

[0326] Aspect 12: According to the method of aspect 11, the parameter includes information indicating whether to include an indicator of the length of the entropy decoded output or the end-of-sequence symbol in the CSF message.

[0327] Aspect 13: The method according to aspect 11, wherein the parameter includes information for enabling or disabling entropy decoding.

[0328] Aspect 14: The method according to any one of Aspects 1 to 13, wherein the entropy decoding configuration information includes parameters indicating whether entropy decoding is applied on a per-layer basis of Channel State Information (CSI) or jointly applied to all layers of the CSI.

[0329] Aspect 15: The method according to aspect 14, wherein the parameter is an adaptive entropy decoding bypass parameter on a per-layer or per-CSI report basis.

[0330] Aspect 16: The method according to any one of Aspects 1 to 15, wherein the entropy decoding information includes a parameter identifying the payload size for the channel state information (CSI) report included in the CSF message.

[0331] Aspect 17: The method according to any one of Aspects 1 to 16, wherein the entropy decoding configuration information includes an indication of whether a greedy bypass is to be used for the entropy decoding output of the CSF message.

[0332] Aspect 18: The method according to any one of Aspects 1 to 17, wherein the CSF message includes a greedy bypass for the entropy decoding output of the CSF message and an indicator of the CSF message including the greedy bypass of the entropy decoding output.

[0333] Aspect 19: The method according to aspect 18 includes the fact that the indicator of the greedily bypassed CSF message output by the entropy decoding is a plurality of bit indicators for individually encoding multiple layers of channel state information (CSI), or a single bit indicator for jointly encoding the multiple layers of CSI.

[0334] Aspect 20: A method of wireless communication performed at a user equipment (UE), the method comprising: receiving entropy decoding configuration information, the entropy decoding configuration information identifying one or more parameters for transmitting a CSF message of entropy decoding channel state feedback (CSF), wherein the one or more parameters include parameters identifying at least one of: an entropy decoding algorithm, a probability quality function, whether the probability quality function is used on an entry of an embedding vector, or a combination thereof; and transmitting the CSF message for transmitting the entropy decoding CSF according to the one or more parameters.

[0335] Aspect 21: According to the method of aspect 20, wherein the entropy decoding algorithm is a Huffman decoding algorithm, and wherein the parameters include information on the lookup table mapping of identifiers to binary strings.

[0336] Aspect 22: The method according to any one of Aspects 20 to 21, wherein the entropy decoding algorithm is an arithmetic decoding algorithm, and wherein the parameters include information identifying at least one of the following: the type of the arithmetic decoding algorithm, the bit width for the arithmetic decoding algorithm, an identifier for the termination of the encoded sequence, an indicator regarding whether to include a sequence end symbol, or a combination thereof.

[0337] Aspect 23: The method according to any one of Aspects 20 to 22, wherein the parameter includes information indicating whether entropy decoding is applied on a per-layer basis of Channel State Information (CSI) or jointly applied to all layers of the CSI.

[0338] Aspect 24: The method according to any one of Aspects 20 to 23, wherein the parameter includes information indicating whether to include an indicator of the length of the entropy decoded output or the end-of-sequence symbol in the CSF message.

[0339] Aspect 25: The method according to any one of Aspects 20 to 24, wherein the parameter includes information for enabling or disabling entropy decoding.

[0340] Aspect 26: The method according to aspect 25, wherein the parameter is an adaptive entropy decoding bypass parameter based on per-layer or per-channel state information (CSI) reports.

[0341] Aspect 27: A method of wireless communication performed at a user equipment (UE), the method comprising: receiving entropy decoding configuration information, the entropy decoding configuration information identifying a set of parameters for transmitting a CSF message of entropy decoding channel state feedback (CSF), wherein the set of parameters includes a payload size parameter; and transmitting the CSF message for transmitting the entropy decoding CSF according to the set of parameters.

[0342] Aspect 28: According to the method of aspect 27, wherein the entropy decoding configuration information includes an indication of whether to use a greedy bypass for the entropy decoding output of the CSF message.

[0343] Aspect 29: The method according to any one of Aspects 27 to 28, wherein the CSF message includes a greedy bypass for the entropy decoding output of the CSF message and an indicator of the CSF message including the greedy bypass of the entropy decoding output.

[0344] Aspect 30: The method according to aspect 29, wherein the indicator of the greedily bypassed CSF message output by the entropy decoding is a plurality of bit indicators for individually encoding multiple layers of channel state information (CSI), or a single bit indicator for jointly encoding the multiple layers of CSI.

[0345] Aspect 31: A method for wireless communication performed by a network node, the method comprising: transmitting entropy decoding configuration information, the entropy decoding configuration information identifying one or more fields for inclusion in the payload of a CSF message transmitting entropy decoding channel state feedback (CSF); and receiving the CSF message transmitting the entropy decoding CSF, the CSF message including the one or more fields according to the entropy decoding configuration information.

[0346] Aspect 32: According to the method of aspect 31, the method further includes: receiving user equipment (UE) capability information indicating the capability for entropy decoding; and wherein sending the entropy decoding configuration information includes: sending the entropy decoding configuration information as a response to sending the UE capability information.

[0347] Aspect 33: The method according to any one of Aspects 31 to 32, the method further comprising: transmitting a channel state information (CSI) reference signal (RS) for measurement (CSI-RS); and decoding the measurement of the CSI-RS encoded in the CSF message using entropy decoding according to the entropy decoding configuration information and using a decoder.

[0348] Aspect 34: The method according to any one of aspects 31 to 33, wherein the one or more fields include at least one of the following: a field indicating a parameter related to the length of the entropy decoding output, a field indicating a parameter related to the entropy decoding bypass indication, or a combination thereof.

[0349] Aspect 35: According to the method of aspect 34, the one or more fields are included in the first part of the CSF message.

[0350] Aspect 36: The method according to any one of Aspects 31 to 35, wherein the one or more fields include at least one of the following: a field indicating a parameter related to the maximum payload of a plurality of layers of a CSF report across the CSF message, a field indicating a parameter related to the entropy decoding output of each of the plurality of layers, a field indicating a parameter related to the total payload of the plurality of layers of the CSF report across the CSF message, or a combination thereof.

[0351] Aspect 37: According to the method of aspect 36, wherein one or more fields are included in at least one of the second part of the CSF message or in the uplink control information elements signaled in conjunction with the CSF message.

[0352] Aspect 38: The method according to any one of Aspects 31 to 37, wherein the entropy decoding configuration information is signaled via at least one of: a model identification message, a model meta-information message, a radio resource control configuration message, a UE capability signaling message, or a combination thereof.

[0353] Aspect 39: The method according to any one of Aspects 31 to 38, wherein the entropy decoding configuration information includes one or more parameters, the one or more parameters including a parameter identifying at least one of the following: an entropy decoding algorithm, a probability mass function, whether the probability mass function is used on an entry of the embedding vector, or a combination thereof.

[0354] Aspect 40: The method according to any one of Aspects 31 to 39, wherein the entropy decoding algorithm is a Huffman decoding algorithm, and wherein the entropy decoding configuration information includes parameters for mapping identifiers to binary strings.

[0355] Aspect 41: The method according to any one of aspects 31 to 40, wherein the entropy decoding algorithm is an arithmetic decoding algorithm, and wherein the entropy decoding configuration information includes parameters identifying at least one of the following: the type of the arithmetic decoding algorithm, the bit width for the arithmetic decoding algorithm, an identifier for the termination of the encoded sequence, an indicator regarding whether to include a sequence end symbol, or a combination thereof.

[0356] Aspect 42: According to the method of aspect 41, the parameter includes information indicating whether to include an indicator of the length of the entropy decoded output or the end-of-sequence symbol in the CSF message.

[0357] Aspect 43: The method according to aspect 41, wherein the parameter includes information for enabling or disabling entropy decoding.

[0358] Aspect 44: The method according to any one of Aspects 31 to 43, wherein the entropy decoding configuration information includes parameters indicating whether entropy decoding is applied on a per-layer basis of Channel State Information (CSI) or jointly applied to all layers of the CSI.

[0359] Aspect 45: The method according to aspect 44, wherein the parameter is an adaptive entropy decoding bypass parameter on a per-layer or per-CSI report basis.

[0360] Aspect 46: The method according to any one of Aspects 31 to 45, wherein the entropy decoding information includes a parameter identifying the payload size for the channel state information (CSI) report included in the CSF message.

[0361] Aspect 47: The method according to any one of Aspects 31 to 46, wherein the entropy decoding configuration information includes an indication of whether a greedy bypass is to be used for the entropy decoding output of the CSF message.

[0362] Aspect 48: The method according to any one of Aspects 31 to 47, wherein the CSF message includes a greedy bypass for the entropy decoding output of the CSF message and an indicator of the CSF message including the greedy bypass of the entropy decoding output.

[0363] Aspect 49: The method according to aspect 48 includes the fact that the indicator of the greedily bypassed CSF message output by the entropy decoding is a plurality of bit indicators for individually encoding multiple layers of channel state information (CSI), or a single bit indicator for jointly encoding the multiple layers of CSI.

[0364] Aspect 50: A method for wireless communication performed by a network node, the method comprising: transmitting entropy decoding configuration information, the entropy decoding configuration information identifying one or more parameters for transmitting a CSF message of channel state feedback (CSF) of entropy decoding, wherein the one or more parameters include parameters identifying at least one of: an entropy decoding algorithm, a probability quality function, whether the probability quality function is used on an entry of an embedding vector, or a combination thereof; and receiving the CSF message of entropy decoding CSF according to the one or more parameters.

[0365] Aspect 51: According to the method of aspect 50, wherein the entropy decoding algorithm is a Huffman decoding algorithm, and wherein the parameters include information on the lookup table mapping of identifier symbols to binary strings.

[0366] Aspect 52: The method according to any one of Aspects 50 to 51, wherein the entropy decoding algorithm is an arithmetic decoding algorithm, and wherein the parameters include information identifying at least one of the following: the type of the arithmetic decoding algorithm, the bit width for the arithmetic decoding algorithm, an identifier for the termination of the encoded sequence, an indicator regarding whether to include a sequence end symbol, or a combination thereof.

[0367] Aspect 53: The method according to any one of Aspects 50 to 52, wherein the parameter includes information indicating whether entropy decoding is applied on a per-layer basis of Channel State Information (CSI) or jointly applied to all layers of the CSI.

[0368] Aspect 54: The method according to any one of Aspects 50 to 53, wherein the parameter includes information indicating whether to include an indicator of the length of the entropy decoded output or the end-of-sequence symbol in the CSF message.

[0369] Aspect 55: The method according to any one of aspects 50 to 54, wherein the parameter includes information for enabling or disabling entropy decoding.

[0370] Aspect 56: The method according to aspect 55, wherein the parameter is an adaptive entropy decoding bypass parameter based on per-layer or per-channel state information (CSI) reports.

[0371] Aspect 57: A method for wireless communication performed by a network node, the method comprising: transmitting entropy decoding configuration information, the entropy decoding configuration information identifying a set of parameters for transmitting a CSF message of entropy decoding channel state feedback (CSF), wherein the set of parameters includes a payload size parameter; and receiving the CSF message of entropy decoding CSF according to the set of parameters.

[0372] Aspect 58: According to the method of aspect 57, wherein the entropy decoding configuration information includes an indication of whether to use a greedy bypass for the entropy decoding output of the CSF message.

[0373] Aspect 59: The method according to any one of Aspects 57 to 58, wherein the CSF message includes a greedy bypass for the entropy decoding output of the CSF message and an indicator of the CSF message including the greedy bypass of the entropy decoding output.

[0374] Aspect 60: The method according to aspect 59 includes the fact that the indicator of the greedily bypassed CSF message output by the entropy decoding is a plurality of bit indicators for individually encoding multiple layers of channel state information (CSI), or a single bit indicator for jointly encoding the multiple layers of CSI.

[0375] Aspect 61: An apparatus for wireless communication at a user equipment (UE), the apparatus comprising: one or more memories; and one or more processors coupled to the one or more memories, the one or more processors being configured to cause the UE to: receive entropy decoding configuration information, the entropy decoding configuration information identifying one or more fields to be included in the payload of a CSF message for transmitting entropy decoding channel state feedback (CSF); and send the CSF message for transmitting the entropy decoding CSF, the CSF message including the one or more fields according to the entropy decoding configuration information.

[0376] Aspect 62: The apparatus according to aspect 61, wherein the one or more processors are individually or jointly configured to cause the UE to: receive entropy decoding configuration information, the entropy decoding configuration information identifying one or more fields to be included in the payload of a CSF message for transmitting entropy decoding channel state feedback (CSF); and send the CSF message for transmitting the entropy decoding CSF, the CSF message including the one or more fields according to the entropy decoding configuration information.

[0377] Aspect 63: An apparatus for wireless communication at a user equipment (UE), the apparatus comprising: one or more memories; and one or more processors coupled to the one or more memories, the one or more processors being configured to cause the UE to: receive entropy decoding configuration information, the entropy decoding configuration information identifying one or more parameters for transmitting a CSF message for entropy decoding channel state feedback (CSF), wherein the one or more parameters include parameters identifying at least one of: an entropy decoding algorithm, a probability quality function, whether the probability quality function is used on an entry of an embedding vector, or a combination thereof; and transmit the CSF message for transmitting the entropy decoding CSF according to the one or more parameters.

[0378] Aspect 64: The apparatus according to aspect 63, wherein the one or more processors are individually or jointly configured to cause the UE to: receive entropy decoding configuration information, the entropy decoding configuration information identifying one or more parameters for transmitting a CSF message for entropy decoding channel state feedback (CSF), wherein the one or more parameters include parameters identifying at least one of: an entropy decoding algorithm, a probability quality function, whether the probability quality function is used on an entry of an embedding vector, or a combination thereof; and transmit the CSF message for transmitting the entropy decoding CSF according to the one or more parameters.

[0379] Aspect 65: An apparatus for wireless communication at a user equipment (UE), the apparatus comprising: one or more memories; and one or more processors coupled to the one or more memories, the one or more processors being configured to cause the UE to: receive entropy decoding configuration information, the entropy decoding configuration information identifying a set of parameters for transmitting a Channel State Feedback (CSF) message for entropy decoding, wherein the parameter set includes a payload size parameter; and transmit the CSF message for transmitting the entropy decoding CSF according to the parameter set.

[0380] Aspect 66: The apparatus according to aspect 65, wherein the one or more processors are individually or jointly configured to cause the UE to: receive entropy decoding configuration information, the entropy decoding configuration information identifying a set of parameters for transmitting a CSF message for entropy decoding channel state feedback (CSF), wherein the set of parameters includes a payload size parameter; and transmit the CSF message for transmitting the entropy decoding CSF according to the set of parameters.

[0381] Aspect 67: An apparatus for wireless communication at a network node, the apparatus comprising: one or more memories; and one or more processors coupled to the one or more memories, the one or more processors being configured to cause the network node to: transmit entropy decoding configuration information, the entropy decoding configuration information identifying one or more fields for inclusion in the payload of a CSF message transmitting entropy decoding channel state feedback (CSF); and receive the CSF message transmitting the entropy decoding CSF, the CSF message including the one or more fields according to the entropy decoding configuration information.

[0382] Aspect 68: The apparatus according to aspect 67, wherein the one or more processors are individually or jointly configured to cause the network node to: transmit entropy decoding configuration information, the entropy decoding configuration information identifying one or more fields for inclusion in the payload of a CSF message transmitting entropy decoding channel state feedback (CSF); and receive the CSF message transmitting the entropy decoding CSF, the CSF message including the one or more fields according to the entropy decoding configuration information.

[0383] Aspect 69: An apparatus for wireless communication at a network node, the apparatus comprising: one or more memories; and one or more processors coupled to the one or more memories, the one or more processors being configured to cause the network node to: transmit entropy decoding configuration information, the entropy decoding configuration information identifying one or more parameters for transmitting a CSF message of entropy decoding channel state feedback (CSF), wherein the one or more parameters include parameters identifying at least one of: an entropy decoding algorithm, a probability quality function, whether the probability quality function is used on an entry of an embedding vector, or a combination thereof; and receive the CSF message transmitting the entropy decoding CSF according to the one or more parameters.

[0384] Aspect 70: The apparatus according to aspect 69, wherein the one or more processors are individually or jointly configured to cause the network node to: transmit entropy decoding configuration information, the entropy decoding configuration information identifying one or more parameters for transmitting a CSF message of entropy decoding channel state feedback (CSF), wherein the one or more parameters include parameters identifying at least one of: an entropy decoding algorithm, a probability quality function, whether the probability quality function is used on an entry of an embedding vector, or a combination thereof; and receive the CSF message of entropy decoding CSF according to the one or more parameters.

[0385] Aspect 71: An apparatus for wireless communication at a network node, the apparatus comprising: one or more memories; and one or more processors coupled to the one or more memories, the one or more processors being configured to cause the network node to: transmit entropy decoding configuration information, the entropy decoding configuration information identifying a set of parameters for transmitting a Channel State Feedback (CSF) message for entropy decoding, wherein the parameter set includes a payload size parameter; and receive the CSF message for transmitting the entropy decoding CSF according to the parameter set.

[0386] Aspect 72: The apparatus according to aspect 71, wherein the one or more processors are individually or jointly configured to cause the network node to: transmit entropy decoding configuration information, the entropy decoding configuration information identifying a set of parameters for transmitting a CSF message of channel state feedback (CSF) for entropy decoding, wherein the set of parameters includes a payload size parameter; and receive the CSF message for transmitting the CSF of entropy decoding according to the set of parameters.

[0387] Aspect 73: An apparatus for wireless communication at a device, the apparatus comprising: one or more processors; one or more memories coupled to the one or more processors; and instructions stored in the one or more memories and executable by the one or more processors to cause the apparatus to perform the method according to one or more of aspects 1 to 72.

[0388] Aspect 74: An apparatus for wireless communication at a device, the apparatus comprising one or more memories and one or more processors coupled to the one or more memories, the one or more processors being configured to cause the device to perform the method according to one or more of aspects 1 to 72.

[0389] Aspect 75: An apparatus for wireless communication, the apparatus comprising at least one component for performing the method according to one or more of aspects 1 to 60.

[0390] Aspect 76: A non-transitory computer-readable medium storing code for wireless communication, the code including instructions executable by one or more processors to perform the method according to one or more of aspects 1 to 72.

[0391] Aspect 77: A non-transitory computer-readable medium storing a set of instructions for wireless communication, the set of instructions comprising one or more instructions that, when executed by one or more processors of a device, cause the device to perform the method according to one or more of aspects 1 to 72.

[0392] Aspect 78: A device for wireless communication, the device including a processing system comprising one or more processors and one or more memories coupled to the one or more processors, the processing system being configured to cause the device to perform the method according to one or more of aspects 1 to 72.

[0393] Aspect 79: An apparatus for wireless communication at a device, the apparatus comprising one or more memories and one or more processors coupled to the one or more memories, the one or more processors being individually or collectively configured to cause the device to perform one or more of the methods according to aspects 1 to 72.

[0394] While the foregoing disclosure provides examples and descriptions, it is not intended to be exhaustive or to limit aspects to the precise forms disclosed. Modifications and variations can be made based on the foregoing disclosure, or from various aspects of practice.

[0395] As used herein, the term "component" is intended to be broadly interpreted as hardware or a combination of hardware and at least one of software or firmware. "Software" should be broadly interpreted as instructions, instruction sets, code, code segments, program code, programs, subroutines, software modules, applications, software applications, software packages, routines, subroutines, objects, executable programs, threads of execution, procedures, or functions, whether referred to as software, firmware, middleware, microcode, hardware description languages, or other terms. As used herein, a "processor" is implemented in hardware or a combination of hardware and software. It will be apparent that the systems or methods described herein may be implemented in various forms of hardware or combinations of hardware and software. The actual dedicated control hardware or software code used to implement these systems or methods is not limited in any way. Therefore, the operation and behavior of these systems or methods are described herein without reference to specific software code, as those skilled in the art will understand that the software and hardware can be designed to implement these systems or methods, at least in part, based on the description herein. Unless otherwise stated, a component configured to perform a function means that the component has the capability to perform that function, but it is not necessary for the component to actually perform that function.

[0396] As used in this article, depending on the context, "meeting the threshold" can mean a value greater than the threshold, greater than or equal to the threshold, less than the threshold, less than or equal to the threshold, equal to the threshold, not equal to the threshold, etc.

[0397] As used in this article, the phrase “at least one of” in a list of items refers to any combination of these items, including a single member. As an example, “at least one of a, b, or c” is intended to cover: a, b, c, a+b, a+c, b+c, and a+b+c, as well as any combination with multiple identical elements (e.g., a+a, a+a+a, a+a+b, a+a+c, a+b+b, a+c+c, b+b, b+b+b, b+b+c, c+c, and c+c+c, or any other ordering of a, b, and c).

[0398] No element, action, or instruction used herein should be construed as essential or necessary unless explicitly stated otherwise. Furthermore, as used herein, the articles “a” and “an” are intended to include one or more items and are interchangeable with “one or more.” Similarly, as used herein, the article “the” is intended to include one or more items mentioned in connection with the article “the” and is interchangeable with “one or more.” Furthermore, as used herein, the terms “group” and “cluster” are intended to include one or more entries and are interchangeable with “one or more.” If only one item is desired, the phrase “only one” or similar terminology will be used. Moreover, as used herein, the terms “having” and similar terms are intended as open-ended terms that do not limit the elements they modify (e.g., “having” A may also have B). Additionally, the phrase “based on” is intended to mean “based on or otherwise related to” unless otherwise explicitly stated. Furthermore, as used herein, the term “or” is intended to be inclusive when used consecutively and is interchangeable with “and / or” unless otherwise explicitly stated (e.g., if used in conjunction with “either of the two” or “only one of them”). It should be understood that “one or more” is equivalent to “at least one”.

[0399] Although specific combinations of features are set forth in the claims or disclosed in the description, these combinations are not intended to limit the disclosure of various aspects. Many of these features may be combined in ways not specifically stated in the claims or disclosed in the description. The disclosure of various aspects includes each dependent claim in combination with each other claim in the claim set.

Claims

1. An apparatus for wireless communication at a user equipment (UE), the apparatus comprising: One or more memory units; and One or more processors, said one or more processors coupled to said one or more memories and configured to cause the UE to: Receive entropy decoding configuration information, wherein the entropy decoding configuration information identifies one or more fields to be included in the payload of the CSF message that transmits entropy decoding channel state feedback (CSF); as well as Send the CSF message for transmitting the entropy decoding CSF, the CSF message including one or more fields according to the entropy decoding configuration information.

2. The apparatus of claim 1, wherein the one or more processors are further configured to cause the UE to: Send UE capability information indicating the ability to perform entropy decoding; and In order for the UE to receive the entropy decoding configuration information, the one or more processors are configured to cause the UE to: The entropy decoding configuration information is received as a response to the transmission of the UE capability information.

3. The apparatus of claim 1, wherein the one or more processors are further configured to cause the UE to: Receive Channel State Information (CSI) Reference Signal (RS) (CSI-RS); Perform measurements on the CSI-RS; and Based on the entropy decoding configuration information and using an encoder, the measurements of the CSI-RS are encoded using entropy decoding to generate at least a portion of the payload of the CSF message; and In order for the UE to send the CSF message, the one or more processors are configured to cause the UE to: Send the CSF message to transmit at least a portion of the payload of the CSF message.

4. The apparatus of claim 1, wherein the one or more fields comprise at least one of the following: A field indicating parameters related to the length of the entropy decoding output. Fields indicating parameters related to entropy decoding bypass indication, or Their combination.

5. The apparatus of claim 4, wherein one or more fields are included in the first portion of the CSF message.

6. The apparatus of claim 1, wherein the one or more fields comprise at least one of the following: Fields indicating parameters related to the maximum payload across multiple layers of the CSF report in the CSF message. A field indicating parameters associated with the entropy decoding output of each of the plurality of layers. A field indicating a parameter related to the total payload of the multiple layers in the CSF report across the CSF message, or Their combination.

7. The apparatus of claim 6, wherein the one or more fields are included in at least one of the second part of the CSF message or in an uplink control information element signaled in conjunction with the CSF message.

8. The apparatus of claim 1, wherein the entropy decoding configuration information is signaled via at least one of the following: Model identification message, Model meta-information messages, Radio resource control configuration messages, UE capability signaling message, or Their combination.

9. The apparatus of claim 1, wherein the entropy decoding configuration information includes one or more parameters, the one or more parameters including a parameter identifying at least one of the following: Entropy decoding algorithm, Probability mass function Whether the probability mass function is used on the entries of the embedding vector, or Their combination.

10. The apparatus of claim 1, wherein the entropy decoding configuration information includes parameters indicating whether entropy decoding is applied on a per-layer basis of channel state information (CSI) or jointly applied to all layers of the CSI.

11. The apparatus of claim 10, wherein the parameter is an adaptive entropy decoding bypass parameter based on per-layer or per-CSI report.

12. The apparatus of claim 1, wherein the entropy decoding information includes a parameter identifying the payload size for the channel state information (CSI) report included in the CSF message.

13. The apparatus of claim 1, wherein the entropy decoding configuration information includes an indication of whether to use a greedy bypass for the entropy decoding output of the CSF message.

14. The apparatus of claim 1, wherein the CSF message includes a greedy bypass for the entropy decoding output of the CSF message and an indicator of the CSF message including the greedy bypass of the entropy decoding output.

15. The apparatus of claim 14, wherein the indicator of the greedily bypassed CSF message output by the entropy decoding is a plurality of bit indicators for individually encoding a plurality of layers of channel state information (CSI), or a single bit indicator for jointly encoding the plurality of layers of CSI.

16. An apparatus for wireless communication at a network node, the apparatus comprising: One or more memory units; and One or more processors, said one or more processors coupled to said one or more memories and configured to cause the network node to: Send entropy decoding configuration information, which identifies one or more fields to be included in the payload of a CSF message that transmits entropy decoding channel state feedback (CSF); as well as Receive the CSF message that transmits the entropy decoding CSF, the CSF message including one or more fields according to the entropy decoding configuration information.

17. The apparatus of claim 16, wherein the one or more processors are further configured to cause the network node to: Receive user equipment (UE) capability information indicating the ability to perform entropy decoding; and In order for the network node to send the entropy decoding configuration information, the one or more processors are configured to cause the network node to: Sending the entropy decoding configuration information is a response to sending the UE capability information.

18. The apparatus of claim 16, wherein the one or more processors are further configured to cause the network node to: Transmit Channel State Information (CSI) Reference Signal (RS) (CSI-RS) for measurement; and Based on the entropy decoding configuration information and using a decoder, the CSI-RS measurements encoded in the CSF message using entropy decoding are decoded.

19. The apparatus of claim 16, wherein the one or more fields comprise at least one of the following: A field indicating parameters related to the length of the entropy decoding output. Fields indicating parameters related to entropy decoding bypass indication, or Their combination.

20. The apparatus of claim 19, wherein one or more fields are included in the first portion of the CSF message.

21. The apparatus of claim 16, wherein the one or more fields comprise at least one of the following: Fields indicating parameters related to the maximum payload across multiple layers of the CSF report in the CSF message. A field indicating parameters associated with the entropy decoding output of each of the plurality of layers. A field indicating a parameter related to the total payload of the multiple layers in the CSF report across the CSF message, or Their combination.

22. The apparatus of claim 21, wherein the one or more fields are included in at least one of the second part of the CSF message or in an uplink control information element signaled in conjunction with the CSF message.

23. The apparatus of claim 16, wherein the entropy decoding configuration information is signaled via at least one of the following: Model identification message, Model meta-information messages, Radio resource control configuration messages, UE capability signaling message, or Their combination.

24. The apparatus of claim 16, wherein the entropy decoding configuration information includes one or more parameters, the one or more parameters including a parameter identifying at least one of the following: Entropy decoding algorithm, Probability mass function Whether the probability mass function is used on the entries of the embedding vector, or Their combination.

25. The apparatus of claim 16, wherein the entropy decoding configuration information includes parameters indicating whether entropy decoding is applied on a per-layer basis of channel state information (CSI) or jointly applied to all layers of the CSI.

26. The apparatus of claim 25, wherein the parameter is an adaptive entropy decoding bypass parameter based on per-layer or per-CSI report.

27. The apparatus of claim 16, wherein the entropy decoding information includes a parameter identifying the payload size for the channel state information (CSI) report included in the CSF message.

28. The apparatus of claim 16, wherein the entropy decoding configuration information includes an indication of whether to use a greedy bypass for the entropy decoding output of the CSF message.

29. A method for wireless communication performed at a user equipment (UE), the method comprising: Receive entropy decoding configuration information, wherein the entropy decoding configuration information identifies one or more fields to be included in the payload of the CSF message that transmits entropy decoding channel state feedback (CSF); as well as Send the CSF message for transmitting the entropy decoding CSF, the CSF message including one or more fields according to the entropy decoding configuration information.

30. A method for wireless communication performed at a network node, the method comprising: Send entropy decoding configuration information, which identifies one or more fields to be included in the payload of a CSF message that transmits entropy decoding channel state feedback (CSF); as well as Receive the CSF message that transmits the entropy decoding CSF, the CSF message including one or more fields according to the entropy decoding configuration information.

Images