Layer specific accuracy for channel state feedback

Abstract

Methods, systems, and devices for wireless communication are described. A user equipment (UE) may receive signaling from a network entity via a cell. The signaling may indicate at least a resource utilization status associated with the cell. The UE may modify a compression scheme according to the resource utilization state. Channel state information (CSI) associated with a layer for wireless communication between the UE and the network entity via the cell may be compressed using the compression scheme at the UE.

Description

[0001] Cross-references

[0002] This patent application claims priority to U.S. patent application No. 18 / 168,790, filed by Vitthaladevuni et al. on February 14, 2023, entitled “LAYER-SPECIFIC ACCURACY FOR CHANNEL STATE FEEDBACK,” which is assigned to the assignee of this application and is expressly incorporated herein. Technical Field

[0003] The following relates to wireless communications, including layer-specific accuracy for channel state feedback (CSF). Background Art

[0004] Wireless communication systems are widely deployed to provide various types of communication content, such as voice, video, packet data, messaging, broadcast, and the like. These systems may be capable of supporting communication with multiple users by sharing available system resources (e.g., time, frequency, and power). Examples of such multiple-access systems include fourth-generation (4G) systems (such as Long Term Evolution (LTE) systems, LTE-Advanced (LTE-A) systems, or LTE-A Pro systems) and fifth-generation (5G) systems (which may be referred to as New Radio (NR) systems). These systems may employ techniques such as code division multiple access (CDMA), time division multiple access (TDMA), frequency division multiple access (FDMA), orthogonal FDMA (OFDMA), or discrete Fourier transform-spread orthogonal frequency division multiplexing (DFT-S-OFDM).

[0005] A wireless multiple-access communication system may include one or more network entities, each of which supports wireless communications for communication devices, which may be referred to as user equipment (UE). In some multiple-access communication systems, a UE may perform channel estimation and report channel state feedback (CSF) associated with the estimated communication channel to a network entity. The network entity may use the reported CSF to improve the capacity of the communication channel through adaptive techniques such as channel precoding, interference suppression, and signal rank determination. However, in some cases, existing techniques for reporting CSF may be deficient. Summary of the Invention

[0006] The described techniques relate to methods, systems, devices, and apparatuses that support improved layer-specific accuracy for channel state feedback (CSF). For example, the described techniques provide a framework for modifying layer-specific channel state information (CSI) compression schemes based on resource utilization. For example, a user equipment (UE) may receive signaling from a network entity via a cell. In some examples, the signaling may indicate a resource utilization state associated with at least the cell. In such examples, the UE may modify a compression scheme based on the resource utilization state. The compression scheme may be used at the UE to compress CSI associated with a layer used for wireless communication between the UE and the network entity via the cell. The described techniques may include features for improved CSF reporting and, in some examples, may facilitate wireless communication with increased reliability and reduced latency, among other benefits.

[0007] A method for wireless communication at a UE is described. The method may include: receiving first signaling from a network entity via a cell, the first signaling indicating a resource utilization status associated with at least the cell; and modifying a first compression scheme for compressing first CSI associated with a first layer for wireless communication between the UE and the network entity via the cell based on the resource utilization status.

[0008] An apparatus for wireless communication is described. The apparatus may include a processor, a memory coupled to the processor, and instructions stored in the memory. The instructions may be executable by the processor to cause the apparatus to: receive first signaling from a network entity via a cell, the first signaling indicating at least a resource utilization status associated with the cell; and modify a first compression scheme for compressing first CSI associated with a first layer used for wireless communication between a UE and the network entity via the cell based on the resource utilization status.

[0009] Another apparatus for wireless communication is described. The apparatus may include: means for receiving first signaling from a network entity via a cell, the first signaling indicating a resource utilization status associated with at least the cell; and means for modifying a first compression scheme for compressing first CSI associated with a first layer for wireless communication between a UE and the network entity via the cell based on the resource utilization status.

[0010] A non-transitory computer-readable medium storing code for wireless communication at a UE is described. The code may include instructions executable by a processor to: receive first signaling from a network entity via a cell, the first signaling indicating at least a resource utilization status associated with the cell; and modify a first compression scheme for compressing first CSI associated with a first layer used for wireless communication between the UE and the network entity via the cell based on the resource utilization status.

[0011] Some examples of the methods, apparatus, and non-transitory computer-readable media described herein may also include operations, features, components, or instructions for: receiving second signaling from the network entity via the cell, wherein the second signaling indicates resource allocation for sending a CSF message to the network entity, and wherein the resource allocation may be based on the resource utilization status.

[0012] Some examples of the methods, apparatus, and non-transitory computer-readable media described herein may also include operations, features, components, or instructions for sending the CSF message to the network entity using the resource allocation, wherein the CSF message indicates compression of the first CSI, and wherein an accuracy associated with the compression may be based on modifying the first compression scheme.

[0013] Some examples of the methods, apparatus, and non-transitory computer-readable media described herein may also include operations, features, components, or instructions for: receiving second signaling from the network entity via the cell, wherein the second signaling identifies a neural network to be used with the first compression scheme, and wherein the neural network may be associated with the resource utilization state.

[0014] In some examples of the methods, apparatus, and non-transitory computer-readable media described herein, modifying the first compression scheme based on the resource utilization state may include operations, features, components, or instructions for: modifying the first compression scheme to include compressing the first CSI using the neural network.

[0015] Some examples of the methods, apparatus, and non-transitory computer-readable media described herein may also include operations, features, components, or instructions for sending second signaling to the network entity indicating that the UE modified the first compression scheme, a duration during which the UE modified the first compression scheme, or both.

[0016] In some examples of the methods, apparatus, and non-transitory computer-readable media described herein, the second signaling further indicates a neural network associated with the first compression scheme, the first layer, or both.

[0017] Some examples of the methods, apparatus, and non-transitory computer-readable media described herein may also include operations, features, components, or instructions for: receiving second signaling from the network entity, the second signaling indicating a first rank associated with wireless communication between the UE and the network entity via the cell, wherein modifying the first compression scheme may be based on the first rank, and wherein the first rank may be different from a second rank requested by the UE for wireless communication between the UE and the network entity.

[0018] Some examples of the methods, apparatus, and non-transitory computer-readable media described herein may also include operations, features, components, or instructions for sending third signaling to the network entity in response to receiving the second signaling, the third signaling indicating a request to use a third rank for wireless communication between the UE and the network entity via the cell, wherein the third rank may be based on the first rank.

[0019] Some examples of the methods, apparatus, and non-transitory computer-readable media described herein may also include operations, features, components, or instructions for modifying a second compression scheme based on the resource utilization status, wherein the second compression scheme may be used to compress second CSI associated with a second layer used for wireless communication between the UE and the network entity via the cell, and wherein the first layer may be associated with a first layer index and the second layer may be associated with a second layer index that may be greater than the first layer index.

[0020] In some examples of the methods, apparatus, and non-transitory computer-readable media described herein, the first compression scheme may be modified to compress the first CSI using a first number of bits, and the second compression scheme may be modified to compress the second CSI using a second number of bits, and the first number of bits may be greater than the second number of bits.

[0021] In some examples of the methods, apparatus, and non-transitory computer-readable media described herein, a first accuracy associated with compression of the first CSI may be greater than a second accuracy associated with compression of the second CSI based on the first number of bits being greater than the second number of bits.

[0022] In some examples of the methods, apparatus, and non-transitory computer-readable media described herein, the first compression scheme may be modified to compress the first CSI using a first number of bits, and the second compression scheme may be modified to compress the second CSI using a second number of bits, and the first number of bits is less than the second number of bits.

[0023] In some examples of the methods, apparatus, and non-transitory computer-readable media described herein, a first accuracy associated with compression of the first CSI and a second accuracy associated with compression of the second CSI satisfy a threshold based on the first number of bits being less than the second number of bits.

[0024] A method for wireless communication at a network entity is described. The method may include: outputting, via a cell, first signaling indicating at least a resource utilization status associated with the cell; and obtaining, via the cell, second signaling indicating a first modification to a first compression scheme for compressing first CSI associated with a first layer for wireless communication via the cell, the first modification being based on the resource utilization status.

[0025] An apparatus for wireless communication is described. The apparatus may include a processor, a memory coupled to the processor, and instructions stored in the memory. The instructions may be executable by the processor to cause the apparatus to: output, via a cell, first signaling indicating at least a resource utilization status associated with the cell; and obtain, via the cell, second signaling indicating a first modification to a first compression scheme for compressing first CSI associated with a first layer for wireless communication via the cell, the first modification being based on the resource utilization status.

[0026] Another apparatus for wireless communication is described. The apparatus may include: means for outputting, via a cell, first signaling indicating at least a resource utilization status associated with the cell; and means for obtaining, via the cell, second signaling indicating a first modification to a first compression scheme for compressing first CSI associated with a first layer for wireless communication via the cell, the first modification being based on the resource utilization status.

[0027] A non-transitory computer-readable medium storing code for wireless communication at a network entity is described. The code may include instructions executable by a processor to: output first signaling via a cell, the first signaling indicating at least a resource utilization status associated with the cell; and obtain second signaling via the cell, the second signaling indicating a first modification to a first compression scheme for compressing first CSI associated with a first layer for wireless communication via the cell, the first modification being based on the resource utilization status.

[0028] Some examples of the methods, apparatus, and non-transitory computer-readable media described herein may also include operations, features, components, or instructions for outputting third signaling indicating resource allocation for sending a CSF message to the network entity, wherein the resource allocation may be based on the resource utilization status.

[0029] Some examples of the methods, apparatus, and non-transitory computer-readable media described herein may also include operations, features, components, or instructions for obtaining the CSF message using the resource allocation, wherein the CSF message indicates compression of the first CSI, and wherein an accuracy associated with the compression may be based on the first modification.

[0030] Some examples of the methods, apparatus, and non-transitory computer-readable media described herein may also include operations, features, components, or instructions for outputting, via the cell, third signaling that identifies a neural network to be used with the first compression scheme, wherein the neural network may be associated with the resource utilization state.

[0031] In some examples of the methods, apparatus, and non-transitory computer-readable media described herein, the second signaling further indicates a duration during which the first modification to the first compression scheme occurs, a neural network associated with the first compression scheme, the first layer, or any combination thereof.

[0032] Some examples of the methods, apparatus, and non-transitory computer-readable media described herein may also include operations, features, components, or instructions for outputting third signaling indicating a first rank associated with wireless communication via the cell, wherein the first modification may be based on the first rank.

[0033] Some examples of the methods, apparatus, and non-transitory computer-readable media described herein may also include operations, features, components, or instructions for obtaining fourth signaling in response to outputting the third signaling, wherein the fourth signaling indicates a request to use a second rank for wireless communication via the cell, and wherein the second rank may be based on the first rank.

[0034] In some examples of the methods, apparatus, and non-transitory computer-readable media described herein, the second signaling also indicates a second modification to a second compression scheme for compressing second CSI associated with a second layer for wireless communication via the cell, and the second modification may be based on the resource utilization state.

[0035] In some examples of the methods, apparatus, and non-transitory computer-readable media described herein, the first modification identifier is used to compress a first number of bits of the first CSI, and the second modification identifier is used to compress a second number of bits of the second CSI, and the first number of bits may be greater than the second number of bits.

[0036] In some examples of the methods, apparatus, and non-transitory computer-readable media described herein, a first accuracy associated with compression of the first CSI may be greater than a second accuracy associated with compression of the second CSI based on the first number of bits being greater than the second number of bits.

[0037] In some examples of the methods, apparatus, and non-transitory computer-readable media described herein, the first modification identifier is used to compress a first number of bits of the first CSI, and the second modification identifier is used to compress a second number of bits of the second CSI, and the first number of bits may be less than the second number of bits.

[0038] In some examples of the methods, apparatus, and non-transitory computer-readable media described herein, a first accuracy associated with compression of the first CSI and a second accuracy associated with compression of the second CSI satisfy a threshold based on the first number of bits being less than the second number of bits.

[0039] Some examples of the methods, apparatus, and non-transitory computer-readable media described herein may also include operations, features, components, or instructions for determining the resource utilization state based on at least uplink resource block usage associated with the cell, at least downlink resource block usage associated with the cell, or both. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 and Figure 2 Each illustrates an example of a wireless communication system supporting layer-specific accuracy for channel state feedback (CSF) according to one or more aspects of the present disclosure.

[0041] Figure 3 and Figure 4 Each illustrates an example of a process flow supporting layer-specific accuracy for CSF according to one or more aspects of the present disclosure.

[0042] Figure 5 and Figure 6 A block diagram illustrating an apparatus supporting layer-specific accuracy for CSF according to one or more aspects of the present disclosure is illustrated.

[0043] Figure 7 A block diagram illustrating a communication manager supporting layer-specific accuracy for CSFs in accordance with one or more aspects of the present disclosure is illustrated.

[0044] Figure 8 A diagram illustrating a system including a device supporting layer-specific accuracy for CSF in accordance with one or more aspects of the present disclosure is illustrated.

[0045] Figure 9 and Figure 10A block diagram illustrating an apparatus supporting layer-specific accuracy for CSF according to one or more aspects of the present disclosure is illustrated.

[0046] Figure 11 A block diagram illustrating a communication manager supporting layer-specific accuracy for CSFs in accordance with one or more aspects of the present disclosure is illustrated.

[0047] Figure 12 A diagram illustrating a system including a device supporting layer-specific accuracy for CSF in accordance with one or more aspects of the present disclosure is illustrated.

[0048] Figures 13 to 16 A flow chart illustrating a method of supporting layer-specific accuracy for CSF according to one or more aspects of the present disclosure is illustrated. DETAILED DESCRIPTION

[0049] Some communication devices in wireless communication systems, such as user equipment (UE) and network entities, may support beamforming to improve signal reliability and efficiency for Multiple-Input Multiple-Output (MIMO) communications. In some cases, the beams used for MIMO communications between the UE and the network entity may be affected by external factors, such as physical obstructions, signal fading, or other phenomena. To support MIMO communications in the presence of such external factors, the UE may perform channel estimation and report channel state feedback (CSF) associated with the estimated communication channel to the network entity. The network entity may use the reported CSF to increase the capacity of the communication channel through adaptive techniques such as channel precoding, multi-user MIMO (MU-MIMO) scheduling, interference suppression, and signal rank determination. In some cases, to reduce the overhead associated with CSF reporting, the UE may report compressed channel state information (CSI), which the network entity may reconstruct to obtain the estimated communication channel.

[0050] For example, a UE may report a compressed representation of a channel response matrix that includes a vector for each beam associated with a communication channel. That is, each vector of the channel response matrix may correspond to a corresponding beam, which may also be referred to as a layer, and in some examples, the UE may compress each vector separately. For example, the UE may use multiple (e.g., different) neural networks to compress multiple (e.g., different) vectors. The value of the vector may depend on the energy of the corresponding layer. Thus, the accuracy with which the UE can compress the vector may also depend on the energy of the corresponding layer. That is, the UE may compress relatively high-energy layers with higher accuracy than it compresses relatively low-energy layers. In some examples, resource utilization within the network may be relatively high, and the likelihood that a network entity will use a lower-energy layer for downlink communications with the UE may be relatively low. In such examples, reduced compression accuracy for the lower-energy layer may be relatively insignificant. However, in other examples, resource utilization within the network may be relatively low, and the likelihood that a network entity will use both higher-energy and lower-energy layers for downlink communications with the UE may be relatively high. In some examples, if compression accuracy decreases, the accuracy with which the network entity can reconstruct the channel response matrix may also decrease. As such, reduced compression accuracy at the lower energy layers may result in reduced performance at the network entity.

[0051] Various aspects of the present disclosure relate to layer-specific accuracy for CSF, and more specifically to a framework for modifying layer-specific CSI compression schemes based on resource utilization. For example, a network entity may indicate a resource utilization status to a UE. The resource utilization status may be associated with one or more cells served by the network entity. In some examples, the UE may modify one or more compression schemes used for CSI compression at the UE based on the indicated resource utilization status. For example, the resource utilization status within one or more cells may be relatively high. In this example, the UE may modify one or more compression schemes such that the compression accuracy associated with higher energy layers is increased relative to the compression accuracy associated with lower energy layers. For example, the UE may use a first compression scheme to compress a first CSI associated with a relatively higher energy layer (e.g., a first vector of a channel response matrix). In this example, the UE may modify the first compression scheme such that the compression accuracy for the first CSI may be increased.

[0052] In some examples, a UE may increase the accuracy of a first compression scheme by increasing the number of bits used for compression via the first compression scheme. Accordingly, to reduce (or maintain) the overhead associated with reporting CSI, the UE may reduce the accuracy of a second compression scheme by reducing the number of bits used for compression via the second compression scheme. The second compression scheme may be used at the UE to compress CSI associated with relatively lower energy layers. In some other examples, resource utilization within one or more cells may be relatively low. In such examples, the UE may reduce the accuracy of the first compression scheme (e.g., by reducing the number of bits used for compression via the first compression scheme) and increase the accuracy of the second compression scheme (e.g., by increasing the number of bits used for compression via the second compression scheme). In some examples, modifying the layer-specific CSI compression scheme based on resource utilization may result in wireless communications with increased reliability and reduced latency, among other possible benefits. Aspects of the present disclosure are initially described in the context of a wireless communication system and process flow. Aspects of the present disclosure are further illustrated and described with reference to apparatus diagrams, system diagrams, and flow diagrams related to layer-specific accuracy for CSFs.

[0053] Figure 1 An example of a wireless communication system 100 that supports layer-specific accuracy for CSFs according to one or more aspects of the present disclosure is illustrated. The wireless communication system 100 may include one or more network entities 105, one or more UEs 115, and a core network 130. In some examples, the wireless communication system 100 may be a Long Term Evolution (LTE) network, an LTE-Advanced (LTE-A) network, an LTE-A Pro network, a New Radio (NR) network, or a network operating according to other systems and radio technologies, including future systems and radio technologies not explicitly mentioned herein.

[0054] The network entities 105 may be dispersed throughout a geographic area to form the wireless communication system 100 and may include devices in different forms or with different capabilities. In various examples, the network entities 105 may be referred to as network elements, mobility elements, radio access network (RAN) nodes, or network equipment, among other nomenclature. In some examples, the network entities 105 and the UEs 115 may communicate wirelessly via one or more communication links 125 (e.g., radio frequency (RF) access links). For example, the network entities 105 may support a coverage area 110 (e.g., a geographic coverage area) within which the UEs 115 and the network entities 105 may establish one or more communication links 125. The coverage area 110 may be an example of a geographic area within which the network entities 105 and the UEs 115 may support signal communication based on one or more radio access technologies (RATs).

[0055] The UEs 115 may be dispersed throughout the coverage area 110 of the wireless communication system 100, and each UE 115 may be stationary or mobile or both stationary and mobile at different times. The UEs 115 may be devices that take different forms or have different capabilities. Figure 1 Some example UEs 115 are illustrated in FIG. The UEs 115 described herein may be capable of supporting communication with various types of devices, such as Figure 1 105) as shown.

[0056] As described herein, a node of wireless communication system 100 (which may be referred to as a network node or wireless node) may be a network entity 105 (e.g., any network entity described herein), a UE 115 (e.g., any UE described herein), a network controller, an apparatus, a device, a computing system, one or more components, or another suitable processing entity configured to perform any of the techniques described herein. For example, the node may be UE 115. As another example, the node may be network entity 105. As another example, a first node may be configured to communicate with a second node or a third node. In one aspect of this example, the first node may be UE 115, the second node may be network entity 105, and the third node may be UE 115. In another aspect of this example, the first node may be UE 115, the second node may be network entity 105, and the third node may be network entity 105. In other aspects of this example, the first node, the second node, and the third node may be different relative to these examples. Similarly, references to UE 115, network entity 105, apparatus, device, computing system, etc. may include disclosure of UE 115, network entity 105, apparatus, device, computing system, etc. as nodes. For example, a disclosure that UE 115 is configured to receive information from network entity 105 also discloses that the first node is configured to receive information from the second node.

[0057] In some examples, network entities 105 can communicate with core network 130, with each other, or both. For example, network entities 105 can communicate with core network 130 via one or more backhaul communication links 120 (e.g., according to S1, N2, N3, or other interface protocols). In some examples, network entities 105 can communicate with each other via backhaul communication links 120 (e.g., according to X2, Xn, or other interface protocols) directly (e.g., directly between network entities 105) or indirectly (e.g., via core network 130). In some examples, network entities 105 can communicate with each other via midhaul communication links 162 (e.g., according to a midhaul interface protocol) or fronthaul communication links 168 (e.g., according to a fronthaul interface protocol), or any combination thereof. Backhaul communication links 120, midhaul communication links 162, or fronthaul communication links 168 can be or include one or more wired links (e.g., electrical links, fiber optic links), one or more wireless links (e.g., radio links, wireless optical links), etc., or various combinations thereof. UE 115 may communicate with core network 130 via communication link 155 .

[0058] One or more of the network entities 105 described herein may include or may be referred to as a base station 140 (e.g., a base transceiver station, a radio base station, an NR base station, an access point, a radio transceiver, a Node B, an evolved Node B (eNB), a next-generation Node B, or a gigabit Node B (any of which may be referred to as a gNB), a 5G NB, a next-generation eNB (ng-eNB), a Home Node B, a Home evolved Node B, or other suitable terminology). In some examples, the network entity 105 (e.g., the base station 140) may be implemented in a converged (e.g., monolithic, stand-alone) base station architecture that may be configured to utilize a protocol stack that is physically or logically integrated within a single network entity 105 (e.g., a single RAN node, such as the base station 140).

[0059] In some examples, the network entity 105 can be implemented in a disaggregated architecture (e.g., a disaggregated base station architecture, a disaggregated RAN architecture) that can be configured to utilize a protocol stack that is physically or logically distributed between two or more network entities 105, such as an integrated access backhaul (IAB) network, an open RAN (O-RAN) (e.g., a network configuration sponsored by the O-RAN Alliance), or a virtualized RAN (vRAN) (e.g., a cloud RAN (C-RAN)). For example, the network entity 105 can include one or more of the following: a central unit (CU) 160, a distributed unit (DU) 165, a radio unit (RU) 170, a RAN intelligent controller (RIC) 175 (e.g., a near real-time RIC (near RT RIC), a non-real-time RIC (non-RT RIC)), a service management and orchestration (SMO) 180 system, or any combination thereof. The RU 170 may also be referred to as a radio head, smart radio head, remote radio head (RRH), remote radio unit (RRU), or transmit receive point (TRP). One or more components of the network entity 105 in the disaggregated RAN architecture may be co-located, or one or more components of the network entity 105 may be located in distributed locations (e.g., separate physical locations). In some examples, one or more network entities 105 of the disaggregated RAN architecture may be implemented as virtual units (e.g., virtual CU (VCU), virtual DU (VDU), virtual RU (VRU)).

[0060] The functional split between CU 160, DU 165, and RU 170 is flexible and can support different functions depending on which functions (e.g., network layer functions, protocol layer functions, baseband functions, RF functions, and any combination thereof) are performed at CU 160, DU 165, or RU 170. For example, a functional split of the protocol stack can be employed between CU 160 and DU 165, such that CU 160 can support one or more layers of the protocol stack and DU 165 can support one or more different layers of the protocol stack. In some examples, CU 160 can host higher protocol layer (e.g., Layer 3 (L3), Layer 2 (L2)) functions and signaling (e.g., Radio Resource Control (RRC), Service Data Adaptation Protocol (SDAP), Packet Data Convergence Protocol (PDCP)). The CU 160 may be connected to one or more DUs 165 or RUs 170, and the one or more DUs 165 or RUs 170 may host lower protocol layers, such as Layer 1 (L1) (e.g., physical (PHY) layer) or L2 (e.g., radio link control (RLC) layer, medium access control (MAC) layer) functionality and signaling, and may each be at least partially controlled by the CU 160. Additionally or alternatively, a functional split of the protocol stack may be employed between the DU 165 and the RU 170, such that the DU 165 may support one or more layers of the protocol stack and the RU 170 may support one or more different layers of the protocol stack. The DU 165 may support one or more different cells (e.g., via one or more RUs 170). In some cases, the functional split between the CU 160 and the DU 165 or between the DU 165 and the RU 170 can be within the protocol layer (e.g., some functions of a protocol layer can be performed by one of the CU 160, DU 165, or RU 170, while other functions of the protocol layer are performed by a different one of the CU 160, DU 165, or RU 170). The CU 160 can be further functionally split into CU control plane (CU-CP) and CU user plane (CU-UP) functions. The CU 160 can be connected to one or more DUs 165 via midhaul communication links 162 (e.g., F1, F1-c, F1-u), and the DU 165 can be connected to one or more RUs 170 via fronthaul communication links 168 (e.g., an open fronthaul (FH) interface). In some examples, midhaul communication link 162 or fronthaul communication link 168 may be implemented according to interfaces (eg, channels) between layers of a protocol stack supported by respective network entities 105 communicating via these communication links.

[0061] In some wireless communication systems (e.g., wireless communication system 100), the infrastructure and spectrum resources used for radio access may support wireless backhaul link capabilities to supplement wired backhaul connections, thereby providing an IAB network architecture (e.g., to core network 130). In some cases, in an IAB network, one or more network entities 105 (e.g., IAB nodes 104) may be partially controlled by one another. One or more IAB nodes 104 may be referred to as a donor entity or IAB donor. One or more DUs 165 or one or more RUs 170 may be partially controlled by one or more CUs 160 associated with a donor network entity 105 (e.g., donor base station 140). One or more donor network entities 105 (e.g., IAB donors) may communicate with one or more additional network entities 105 (e.g., IAB nodes 104) via supported access and backhaul links (e.g., backhaul communication link 120). The IAB node 104 may include an IAB mobile terminal (IAB-MT) controlled (e.g., scheduled) by the coupled IAB donor's DU 165. The IAB-MT may include an independent set of antennas for relaying communications with the UE 115, or may share the same antennas of the IAB node 104 (e.g., of the RU 170) for access via the DU 165 of the IAB node 104 (e.g., referred to as a virtual IAB-MT (vIAB-MT)). In some examples, the IAB node 104 may include a DU 165 that supports communication links with additional entities (e.g., IAB node 104, UE 115) within a relay chain or configuration (e.g., downstream) of the access network. In such cases, one or more components of the disaggregated RAN architecture (e.g., one or more IAB nodes 104 or components of the IAB node 104) may be configured to operate according to the techniques described herein.

[0062] Where the techniques described herein are applied in the context of a disaggregated RAN architecture, one or more components of the disaggregated RAN architecture may be configured to support layer-specific accuracy for CSF as described herein. For example, some operations described as being performed by a UE 115 or a network entity 105 (e.g., a base station 140) may additionally or alternatively be performed by one or more components of the disaggregated RAN architecture (e.g., an IAB node 104, a DU 165, a CU 160, a RU 170, a RIC 175, a SMO 180).

[0063] UE 115 may include or may be referred to as a mobile device, a wireless device, a remote device, a handheld device, or a subscriber device, or some other suitable terminology, where "device" may also be referred to as a unit, a station, a terminal, or a client, etc. UE 115 may also include or may be referred to as a personal electronic device, such as a cellular phone, a personal digital assistant (PDA), a tablet computer, a laptop computer, or a personal computer. In some examples, UE 115 may include or may be referred to as a wireless local loop (WLL) station, an Internet of Things (IoT) device, an Internet of Everything (IoE) device, or a machine type communication (MTC) device, etc., which may be implemented in various objects, such as appliances or vehicles, meters, etc.

[0064] The UE 115 described herein may be capable of communicating with various types of devices, such as other UEs 115, which may sometimes act as relays, as well as network entities 105 and network equipment including macro eNBs or gNBs, small cell eNBs or gNBs, or relay base stations, etc. Figure 1 shown.

[0065] UE 115 and network entity 105 may wirelessly communicate with each other via one or more communication links 125 (e.g., access links) using resources associated with one or more carriers. The term "carrier" may refer to a collection of RF spectrum resources having a physical layer structure that defines the communication link 125. For example, a carrier used for communication link 125 may comprise a portion of an RF spectrum band (e.g., a bandwidth part (BWP)) operating in accordance with one or more physical layer channels for a given radio access technology (e.g., LTE, LTE-A, LTE-A Pro, NR). Each physical layer channel may carry acquisition signaling (e.g., synchronization signals, system information), control signaling for coordinating carrier operation, user data, or other signaling. The wireless communication system 100 may support communications with UE 115 using carrier aggregation or multi-carrier operation. Depending on the carrier aggregation configuration, UE 115 may be configured with multiple downlink component carriers and one or more uplink component carriers. Carrier aggregation may be used for both frequency division duplex (FDD) and time division duplex (TDD) component carriers. Communication between the network entity 105 and other devices may refer to communication between those devices and any portion (e.g., entity, sub-entity) of the network entity 105. For example, the terms "send," "receive," or "communicate" when referring to the network entity 105 may refer to any portion of the network entity 105 (e.g., base station 140, CU 160, DU 165, RU 170) of the RAN communicating with another device (e.g., directly or via one or more other network entities 105).

[0066] The signal waveform transmitted via a carrier wave may include multiple subcarriers (e.g., using a multicarrier modulation (MCM) technique such as orthogonal frequency division multiplexing (OFDM) or discrete Fourier transform spread OFDM (DFT-S-OFDM)). In systems employing MCM techniques, a resource element may refer to the resource of one symbol period (e.g., the duration of one modulation symbol) and one subcarrier, in which case the symbol period and subcarrier spacing may be inversely related. The number of bits carried by each resource element may depend on the modulation scheme (e.g., the order of the modulation scheme, the coding rate of the modulation scheme, or both), such that a relatively high number of resource elements (e.g., in a transmission duration) and a relatively high-order modulation scheme may correspond to a relatively high communication rate. Wireless communication resources may refer to a combination of RF spectrum resources, temporal resources, and spatial resources (e.g., spatial layers or beams), and the use of multiple spatial resources may increase the data rate or data integrity used for communications with UE 115.

[0067] The time interval for the network entity 105 or the UE 115 may be expressed in multiples of a basic time unit, which may be, for example, a sampling period. seconds, of which can represent the supported subcarrier spacing, and The supported discrete Fourier transform (DFT) size may be indicated. Time intervals of communication resources may be organized according to radio frames, each of which has a specified duration (e.g., 10 milliseconds (ms)). Each radio frame may be identified by a system frame number (SFN) (e.g., in the range of 0 to 1023).

[0068] Each frame may include a plurality of consecutively numbered subframes or time slots, and each subframe or time slot may have the same duration. In some examples, a frame may be divided (e.g., in the time domain) into subframes, and each subframe may be further divided into a certain number of time slots. Alternatively, each frame may include a variable number of time slots, and the number of time slots may depend on the subcarrier spacing. Each time slot may include a certain number of symbol periods (e.g., depending on the length of the cyclic prefix appended to the front of each symbol period). In some wireless communication systems 100, the time slot may be further divided into a plurality of mini-slots associated with one or more symbols. Excluding the cyclic prefix, each symbol period may be associated with one or more (e.g., The duration of a symbol period may depend on the subcarrier spacing or the operating frequency band.

[0069] A subframe, slot, mini-slot, or symbol may be the smallest scheduling unit (e.g., in the time domain) of the wireless communication system 100 and may be referred to as a Transmit Time Interval (TTI). In some examples, the TTI duration (e.g., the number of symbol periods in a TTI) may be variable. Additionally or alternatively, the smallest scheduling unit of the wireless communication system 100 may be dynamically selected (e.g., in a burst of a shortened TTI (sTTI)).

[0070] Physical channels may be multiplexed according to various techniques for communication using carriers. For example, physical control channels and physical data channels may be multiplexed using one or more of time division multiplexing (TDM), frequency division multiplexing (FDM), or hybrid TDM-FDM techniques for signaling via downlink carriers. A control region (e.g., a control resource set (CORESET)) of a physical control channel may be defined by a set of symbol periods and may extend across the system bandwidth of a carrier or a subset of that bandwidth. One or more control regions (e.g., CORESETs) may be configured for a set of UEs 115. For example, one or more of UEs 115 may monitor or search the control region for control information according to one or more search space sets, and each search space set may include one or more control channel candidates in one or more aggregation levels arranged in a cascaded manner. The aggregation level of a control channel candidate may refer to the number of control channel resources (e.g., control channel elements (CCEs)) associated with coded information for a control information format having a given payload size. The search space sets may include a common search space set configured for transmitting control information to multiple UEs 115 and a UE-specific search space set for transmitting control information to a specific UE 115 .

[0071] Network entity 105 may provide communication coverage via one or more cells (e.g., macro cells, small cells, hotspots, or other types of cells, or any combination thereof). The term "cell" may refer to a logical communication entity used to communicate with network entity 105 (e.g., using a carrier) and may be associated with an identifier used to distinguish between adjacent cells (e.g., a physical cell identifier (PCID), a virtual cell identifier (VCID), or other cell identifier). In some examples, a cell may also refer to a coverage area 110 or a portion of coverage area 110 (e.g., a sector) within which the logical communication entity operates. Depending on various factors, such as the capabilities of network entity 105, such cells may range from smaller areas (e.g., structures, subsets of structures) to larger areas. For example, a cell may be or may include a building, a subset of buildings, or an external space between or overlapping coverage areas 110.

[0072] A macro cell generally covers a relatively large geographic area (e.g., several kilometers in radius) and may allow unrestricted access to UEs 115 that have a service subscription with a network provider that supports the macro cell. Compared to a macro cell, a small cell may be associated with a lower-power network entity 105 (e.g., a lower-power base station 140), and the small cell may operate using the same or different frequency bands as the macro cell (e.g., licensed, unlicensed). A small cell may provide unrestricted access to UEs 115 that have a service subscription with the network provider, or may provide restricted access to UEs 115 associated with the small cell (e.g., UEs 115 in a closed subscriber group (CSG), UEs 115 associated with users in a home or office). A network entity 105 may support one or more cells and may also use one or more component carriers to support communications via the one or more cells.

[0073] In some examples, network entities 105 (e.g., base stations 140, RUs 170) can be mobile and, therefore, provide communication coverage for mobile coverage areas 110. In some examples, different coverage areas 110 associated with different technologies can overlap, but the different coverage areas 110 can be supported by the same network entity 105. In some other examples, overlapping coverage areas 110 associated with different technologies can be supported by different network entities 105. The wireless communication system 100 can include, for example, a heterogeneous network in which different types of network entities 105 provide coverage for various coverage areas 110 using the same or different radio access technologies.

[0074] The wireless communication system 100 may be configured to support ultra-reliable communication or low-latency communication or various combinations thereof. For example, the wireless communication system 100 may be configured to support ultra-reliable low-latency communication (URLLC). The UE 115 may be designed to support ultra-reliable, low-latency, or critical functionality. Ultra-reliable communication may include private or group communications and may be supported by one or more services such as push-to-talk, video, or data. Support for ultra-reliable, low-latency functionality may include prioritization of services, and such services may be used for public safety or general commercial applications. The terms ultra-reliable, low-latency, and ultra-reliable low-latency may be used interchangeably herein.

[0075] In some examples, a UE 115 can be configured to support communication directly with other UEs 115 via a device-to-device (D2D) communication link 135 (e.g., according to a peer-to-peer (P2P), D2D, or sidelink protocol). In some examples, one or more UEs 115 in a group performing D2D communication can be within a coverage area 110 of a network entity 105 (e.g., a base station 140, a RU 170), which can support aspects of such D2D communication configured (e.g., scheduled) by the network entity 105. In some examples, one or more UEs 115 in such a group can be outside of the coverage area 110 of the network entity 105 or can otherwise be unable or not configured to receive transmissions from the network entity 105. In some examples, a group of UEs 115 communicating via D2D communication can support a one-to-many (1:M) system, in which each UE 115 transmits to each of the other UEs 115 in the group. In some examples, network entity 105 may facilitate scheduling of resources for D2D communications. In some other examples, D2D communications may be performed between UEs 115 without involving network entity 105.

[0076] The core network 130 may provide user authentication, access authorization, tracking, Internet Protocol (IP) connectivity, and other access, routing, or mobility functions. The core network 130, which may be an evolved packet core (EPC) or a 5G core (5GC), may include at least one control plane entity (e.g., a mobility management entity (MME), an access and mobility management function (AMF)) for managing access and mobility, and at least one user plane entity (e.g., a serving gateway (S-GW), a packet data network (PDN) gateway (P-GW), or a user plane function (UPF)) for routing packets or interconnecting to external networks. The control plane entities may manage non-access stratum (NAS) functions, such as mobility, authentication, and bearer management, for UEs 115 served by network entities 105 (e.g., base stations 140) associated with the core network 130. User IP packets may be transferred through the user plane entities, which may provide IP address allocation and other functions. The user plane entities may connect to one or more network operators' IP services 150. IP services 150 may include access to the Internet, an intranet, an IP Multimedia Subsystem (IMS), or packet-switched streaming services.

[0077] The wireless communication system 100 can operate using one or more frequency bands that can range from 300 megahertz (MHz) to 300 gigahertz (GHz). Generally speaking, the region from 300 MHz to 3 GHz is referred to as the ultra-high frequency (UHF) region or decimeter band because the wavelengths range from approximately one decimeter to one meter in length. UHF waves can be blocked or redirected by buildings and environmental features (which can be referred to as clusters), but these waves can penetrate structures sufficiently for a macrocell to provide service to UEs 115 located indoors. Communication using UHF waves can be associated with smaller antennas and a shorter range (e.g., less than 100 kilometers) compared to communication using the smaller frequencies and longer wavelengths of the high frequency (HF) or very high frequency (VHF) portions of the spectrum below 300 MHz.

[0078] The wireless communication system 100 can utilize both licensed and unlicensed RF spectrum bands. For example, the wireless communication system 100 can employ license-assisted access (LAA), LTE-unlicensed (LTE-U) radio access technology, or NR technology using unlicensed bands, such as the 5 GHz Industrial, Scientific, and Medical (ISM) band. When operating using unlicensed RF spectrum bands, devices such as the network entity 105 and the UE 115 can employ carrier sensing for conflict detection and avoidance. In some examples, operations using the unlicensed bands can be based on a carrier aggregation configuration (e.g., LAA) in conjunction with component carriers operating using licensed bands. Operations using the unlicensed spectrum can include downlink transmissions, uplink transmissions, P2P transmissions, or D2D transmissions, among others.

[0079] A network entity 105 (e.g., base station 140, RU 170) or UE 115 may be equipped with multiple antennas that can be used to employ techniques such as transmit diversity, receive diversity, multiple-input, multiple-output (MIMO) communications, or beamforming. The antennas of the network entity 105 or UE 115 may be located within one or more antenna arrays or antenna panels, which can support MIMO operations or transmit or receive beamforming. For example, one or more base station antennas or antenna arrays may be co-located at an antenna assembly, such as an antenna tower. In some examples, antennas or antenna arrays associated with the network entity 105 may be located at different geographic locations. The network entity 105 may include an antenna array having a set of multiple rows and columns of antenna ports that the network entity 105 can use to support beamforming for communications with the UE 115. Similarly, the UE 115 may include one or more antenna arrays that can support various MIMO or beamforming operations. Additionally or alternatively, the antenna panels may support RF beamforming for signals transmitted via the antenna ports.

[0080] Network entity 105 or UE 115 can use MIMO communication to exploit multipath signal propagation and improve spectral efficiency by transmitting or receiving multiple signals via different spatial layers. This technique may be referred to as spatial multiplexing. The multiple signals may, for example, be transmitted by a transmitting device via different antennas or different combinations of antennas. Similarly, the multiple signals may be received by a receiving device via different antennas or different combinations of antennas. Each of the multiple signals may be referred to as a separate spatial stream and may carry information associated with the same data stream (e.g., the same codeword) or different data streams (e.g., different codewords). Different spatial layers may be associated with different antenna ports for channel measurement and reporting. MIMO techniques include single-user MIMO (SU-MIMO), in which multiple spatial layers are transmitted to the same receiving device, and multi-user MIMO (MU-MIMO), in which multiple spatial layers are transmitted to multiple devices.

[0081] Beamforming (which may also be referred to as spatial filtering, directional transmission, or directional reception) is a signal processing technique that can be used at a transmitting or receiving device (e.g., network entity 105, UE 115) to shape or steer an antenna beam (e.g., a transmit beam, a receive beam) along a spatial path between the transmitting and receiving devices. Beamforming can be achieved by combining signals communicated via antenna elements of an antenna array so that some signals propagating along a particular orientation relative to the antenna array experience constructive interference, while other signals experience destructive interference. Adjustments to the signals communicated via the antenna elements can include the transmitting or receiving device applying an amplitude offset, a phase offset, or both to the signals carried by the antenna elements associated with the device. The adjustments associated with each of these antenna elements can be defined by a set of beamforming weights associated with a particular orientation (e.g., relative to the antenna array of the transmitting or receiving device or relative to some other orientation).

[0082] The network entity 105 or the UE 115 may use beam sweeping techniques as part of a beamforming operation. For example, the network entity 105 (e.g., base station 140, RU 170) may use multiple antennas or antenna arrays (e.g., antenna panels) to perform beamforming operations for directional communication with the UE 115. Some signals (e.g., synchronization signals, reference signals, beam selection signals, or other control signals) may be transmitted multiple times by the network entity 105 along different directions. For example, the network entity 105 may transmit signals according to different sets of beamforming weights associated with different transmission directions. Transmissions along different beam directions may be used to identify (e.g., by a transmitting device, such as the network entity 105, or by a receiving device, such as the UE 115) the beam direction for later transmission or reception by the network entity 105.

[0083] Some signals (such as data signals associated with a particular receiving device) may be transmitted by a transmitting device (e.g., transmitting network entity 105, transmitting UE 115) along a single beam direction (e.g., a direction associated with a receiving device (e.g., receiving network entity 105 or receiving UE 115)). In some examples, a beam direction associated with transmission along a single beam direction may be determined based on signals transmitted along one or more beam directions. For example, UE 115 may receive one or more of the signals transmitted along different directions by network entity 105 and may report to network entity 105 an indication of the signal received by UE 115 with the highest signal quality or other acceptable signal quality.

[0084] In some examples, transmission by a device (e.g., by network entity 105 or UE 115) may be performed using multiple beam directions, and the device may use a combination of digital precoding or beamforming to generate a combined beam for transmission (e.g., from network entity 105 to UE 115). UE 115 may report feedback indicating precoding weights for one or more beam directions, and the feedback may correspond to a configured set of beams across the system bandwidth or one or more subbands. Network entity 105 may transmit reference signals (e.g., cell-specific reference signals (CRS), CSI reference signals (CSI-RS)), which may be precoded or unprecoded. UE 115 may provide feedback for beam selection, which may be a precoding matrix indicator (PMI) or codebook-based feedback (e.g., a multi-panel codebook, a linear combination codebook, a port-selective codebook). Although these techniques are described with reference to signals sent along one or more directions by a network entity 105 (e.g., base station 140, RU 170), UE 115 may use similar techniques to send signals multiple times along different directions (e.g., to identify a beam direction for subsequent transmission or reception by UE 115), or to send signals along a single direction (e.g., to send data to a receiving device).

[0085] A receiving device (e.g., UE 115) may perform reception operations according to multiple reception configurations (e.g., directional listening) when receiving various signals (such as synchronization signals, reference signals, beam selection signals, or other control signals) from a receiving device (e.g., network entity 105). For example, the receiving device may perform reception according to multiple reception directions by receiving via different antenna subarrays, processing received signals according to different antenna subarrays, receiving according to different sets of receive beamforming weights applied to signals received at multiple antenna elements of an antenna array (e.g., different sets of directional listening weights), or processing received signals according to different sets of receive beamforming weights applied to signals received at multiple antenna elements of an antenna array, any of which may be referred to as "listening" according to different reception configurations or reception directions. In some examples, the receiving device may use a single reception configuration to receive along a single beam direction (e.g., when receiving a data signal). A single receive configuration may be aligned along a beam direction determined based on listening according to different receive configuration directions (e.g., a beam direction determined to have the highest signal strength, highest signal-to-noise ratio (SNR), or other acceptable signal quality based on listening according to multiple beam directions).

[0086] In some examples, the wireless communication system 100 may support a framework for CSF reporting, wherein the UE 115 may perform channel estimation and report the CSF associated with the estimated communication channel to the network entity 105. The network entity 105 may use the reported CSF to improve the capacity of the communication channel through adaptive techniques such as channel precoding, interference suppression, and signal rank determination. The CSF may include compressed CSI for multiple layers, which the network entity 105 may reconstruct to obtain the estimated communication channel. However, in some cases, the compression accuracy associated with the compressed CSI (e.g., channel response matrix) may not be similar across multiple layers, which may reduce the accuracy with which the network entity 105 can obtain the estimated communication channel, thereby reducing the performance of the network entity 105.

[0087] However, in some examples, UE 115 (and network entity 105) may support a framework for modifying layer-specific CSI compression schemes based on resource utilization. For example, UE 115 may receive signaling from network entity 105 via a cell indicating at least the resource utilization status associated with the cell. In this example, UE 115 may modify one or more compression schemes associated with one or more layers based on the resource utilization status. In some examples, by modifying the layer-specific compression schemes, the UE may improve CSF reporting and, in some examples, facilitate wireless communications with increased reliability and reduced latency, among other benefits.

[0088] Figure 2An example of a wireless communication system 200 that supports layer-specific accuracy for CSF according to one or more aspects of the present disclosure is illustrated. The wireless communication system 200 may implement one or more aspects of the wireless communication system 100, or may be implemented at the one or more aspects. For example, the wireless communication system 200 may include a network entity 205, which may be a network entity that is configured to receive a CSF packet. Figure 1 Examples and references Figure 1 Additionally, the wireless communication system 200 may include UE 215-a, UE 215-b, and UE 215-c, which may be provided by Figure 1 Examples and references Figure 1 An example of a UE 115 is described. Figure 2 In the example of FIG. 2 , UE 215 and network entity 205 may support wired or wireless communications within coverage area 210, which may be comprised of Figure 1 Examples and references Figure 1 For example, UE 215-a and network entity 205 may communicate using communication link 220 (eg, uplink, downlink), which may be provided by Figure 1 Examples and references Figure 1 An example of communication link 125 is depicted. The network entity may also communicate with UE 215-b and UE 215-c via one or more other communication links.

[0089] The wireless communication system 200 may be configured to support MIMO communication to increase throughput within the wireless communication system 200. Additionally, the UE 215 and the network entity 205 may support beamforming to improve signal reliability and efficiency of MIMO communication. For example, to increase the throughput of wireless communications with the UE 215-a, the network entity may use SU-MIMO to transmit data streams to the UE 215-a via multiple layers (e.g., spatial layers, beams). For example, the network entity may use four (or more) layers to transmit data streams to the UE 215-a. In this example, the four layers may be indexed according to their respective energies. For example, the four layers may be indexed such that the layer with the highest energy (e.g., relative to the other layers) may have an index of 1, and the layer with the lowest energy (e.g., relative to the other layers) may have an index of 4. In other words, the energy of each layer may decrease from layer 1 to layer 4. Accordingly, the energy of layer 1 may be higher than that of layer 2, the energy of layer 2 may be higher than that of layer 3, and the energy of layer 3 may be higher than that of layer 4. In some examples of SU-MIMO, a network entity may use two layers to transmit a data stream to UE 215-a. For example, network entity 205 may transmit a data stream to UE 215-a via beam 225-a and beam 225-b. In some examples, the energy of signaling received at UE 215-a via beam 225-a may be increased relative to the energy of signaling received at UE 215-a via beam 225-b. In such an example, beam 225-a may correspond to layer 1, and beam 225-b may correspond to layer 2. In other words, the received strength of beam 225-a (e.g., layer 1) may be higher than the received strength of beam 225-b (e.g., layer 2).

[0090] Additionally or alternatively, the network entity may use MU-MIMO to serve an increased number of UEs under a relatively high load. For example, the network entity 205 may use MU-MIMO to concurrently transmit corresponding data streams to UE 215-a, UE 215-b, and UE 215-c. In this example, the network entity 205 may use one or more layers (e.g., beams) to transmit each corresponding data stream to UE 215-a, UE 215-b, and UE 215-c. For example, the network entity may use beams 225-a and 225-b to transmit a first data stream to UE 215-a, use beam 225-c to transmit a second data stream to UE 215-b, and use beam 225-d to transmit a third data stream to UE 215-c. In this example, the layers associated with beams 225-a, 225-c, and 225-b may have an index of 1 (e.g., may correspond to layer 1), while the layer associated with beam 225-b may have an index of 2 (e.g., may correspond to layer 2). For example, because the corresponding data streams are each transmitted via a single layer (e.g., layer 1), the transmission to UE 215-b via beam 225-c and the transmission to UE 215-c via beam 225-d may each have a rank of 1. Additionally, for example, because the data streams are transmitted via two layers (e.g., layer 1 and layer 2), the transmission to UE 215-a via beams 225-a and 225-c may have a rank of 2.

[0091] In some examples, one or more of beams 225 may be affected by external factors, such as physical blocking objects, signal fading, or other phenomena. Therefore, to support MIMO communication in the presence of such external factors, UE 215 and network entity 205 may share information about the quality of the communication channel, for example, to improve signal reliability and efficiency of MIMO communication. The communication channel may be represented as a channel response matrix ( ). Channel response matrix ( ) can be expressed according to the following equation 1:

[0092]

[0093] in can represent a left singular vector matrix, and can represent a right singular vector matrix. For example, A matrix (e.g., a high matrix) may be represented, and the columns of the matrix may correspond to The right singular vectors of . In this example, the matrix ( ) can be a right singular vector, which can correspond to (e.g., can be, can include, can represent) the unit energy of the corresponding layer. In this example, the matrix The values ​​of the column vectors included in may decrease from left to right. That is, The leftmost column vector of may represent layer 1, which may have the highest unit energy relative to other layers.

[0094] In some examples, the network entity 205 may obtain a channel estimate based on measurements performed at the network entity 205. For example, the UE 215-a and the network entity 205 may use a reciprocity-based system, where the channel estimate (e.g., a pair of ( ) and decomposes the channel estimate by singular value decomposition (SVD). For example, the network entity 205 may use an uplink sounding reference signal (eg, transmitted from UE 215-a) to estimate the channel response matrix ( ), and then perform SVD to convert ( ) is decomposed into three matrices (e.g., 、 and ). In such examples, with the matrix The corresponding noise associated with each column vector of (e.g., obtained via SVD) may be relatively similar across multiple layers. That is, The corresponding accuracy associated with each column vector in (eg, all layers) may meet a threshold (eg, may be within approximately 2 dB).

[0095] In some other examples, the network entity 205 may obtain a channel estimate based on measurements performed at the UE 215-a. For example, the UE 215-a may perform channel estimation and report a CSF associated with the estimated communication channel to the network entity 205. The network entity 205 may use the reported CSF to obtain an estimate of the communication channel. In some examples, to reduce the overhead associated with CSF reporting, the UE 215-a may report compressed CSI to the network entity 205. In such examples, the network entity 205 may reconstruct the CSI to obtain the estimated communication channel. For example, for a rank greater than 1 (e.g., for a channel response matrix representing more than one layer), the UE 215 may compress the right singular vectors of the matrix H for CSF reporting. In some examples, the UE 215-a may separately compress the CSFs. Each layer (e.g., each column vector) of the matrix. For example, UE 215-a may use multiple (e.g., different) compression schemes to compress multiple (e.g., different) layers. In some examples, UE 215-a may use a machine learning model (such as a neural network) to compress the multiple layers. For example, UE 215-a may use multiple machine learning models (e.g., neural networks) to compress multiple vectors of the channel response matrix. That is, UE 215-a may use a machine learning CSF to compress different right singular vectors of the communication channel.

[0096] However, in some examples, compressing vectors corresponding to lower energy layers (e.g., vectors with relatively low values) may be more difficult than compressing vectors corresponding to higher energy layers (e.g., vectors with relatively high values). That is, the accuracy with which a neural network can compress vectors may decrease as the layer index of the vector decreases. Accordingly, for compression of CSI at UE 215-a using a neural network, the accuracy of each layer of CSI may vary from the strongest layer to the weakest layer. In other words, The value of the column vector of may depend on the energy of the corresponding layer (e.g., the strength of the corresponding beam), and accordingly, the accuracy with which UE 215-a (e.g., the neural network used at UE 215-a) can compress the column vector may also depend on the energy of the corresponding layer (e.g., the strength of the corresponding beam). That is, the compression accuracy may be higher when compressing the first (e.g., the strongest) layer, and the compression accuracy may increase with increasing layer index (e.g., as the layer index increases from Increase to For example, the strongest layer may be compressed while maintaining high accuracy, but the accuracy may gradually decrease (e.g., decrease, fall) for relatively weaker layers.

[0097] In some examples, the compression accuracy may correspond to the network entity 205 being able to reconstruct the matrix according to the compression For example, the generalized cosine similarity can be determined according to the following equation 2 ( ):

[0098]

[0099] The matrix Representable matrix (e.g., the output from a neural network decoder). Accordingly, as near (For example, as the reconstruction accuracy improves, The reconstruction becomes becoming more and more similar). The value of is close to 1. It can be used according to the following equation 3 to determine :

[0100]

[0101] According to Equation 3, as The value is close to 1, The value of approaches negative infinity ( )dB. Additionally, with The value of is close to 0 (for example, as the reconstruction accuracy decreases, The reconstruction becomes increasingly dissimilar). The value of is also close to 0dB. In some examples, if The value of is 0dB, the network entity 205 may determine to reconstruct ( ) of the vector and ( ) are orthogonal to the vectors.

[0102] In some examples, the compression accuracy (e.g., MSE) achieved by the same neural network for multiple layers can be illustrated in Table 1 below:

[0103]

[0104] As illustrated in Table 1, the accuracy difference between the strongest layer and the weakest layer may be relatively large (e.g., a few decibels (dB)). That is, the difference between the compression accuracy of layer 1 and layer 2 may be smaller than the difference between the compression accuracy of layer 1 and layer 3. In some examples, the compression accuracy associated with the layer The values ​​(e.g., vectors corresponding to a particular layer) may vary from scene to scene. For example, the values ​​exemplified in Table 1 (e.g., for each layer) ) may be based on (e.g., assuming) a dense urban scenario. The values ​​illustrated in Table 1 (e.g., values ​​obtained for a dense urban scenario) may be different from other values ​​that may be obtained for other scenarios (such as for urban, suburban, or rural scenarios, etc.). That is, the compression accuracy of a layer may depend on the scenario in which the communication channel is measured. In other words, the compression accuracy of a layer may depend on whether the UE 215-a is located in a dense urban area, an urban area, a suburban area, or a rural area when the UE 215-a receives signaling for measuring (e.g., and estimating) the communication channel for the layer (e.g., via a layer). Additionally, the values ​​illustrated in Table 1 may be based on (e.g., assuming) the same number (e.g., an equal number) of bits per layer are used for compression (e.g., a neural network may use approximately 128 bits per layer for compression). In other words, the values ​​illustrated in Table 1 The values ​​may be obtained from the same compression scheme or from different compression schemes that use the same number of bits.

[0105] In some examples, although the compression accuracy of the layer (e.g. The value (value) may depend on the scenario in which the estimate of the communication channel is obtained, but regardless of the scenario, a decrease (e.g., progression) in compression accuracy from Layer 1 to Layer 4 may occur. That is, regardless of the scenario, the difference between the compression accuracy of Layer 1 and Layer 2 may be smaller than the difference between the compression accuracy of Layer 1 and Layer 3 (or Layer 1 and Layer 4). In some examples (such as, for example, examples in which compression accuracy decreases from Layer 1 to Layer 4), the UE may determine to adjust (e.g., modify, change) CSI compression based on the traffic or load occurring within the network (e.g., on each cell).

[0106] For example, the rank of the transmission may correspond to the number of layers used for the transmission. For example, a rank value of 2 may indicate that the transmission uses two layers, and a rank value of 4 may indicate that the transmission uses four layers. In some examples, such as for traffic scenarios where buffers are relatively full or resource utilization is relatively high (e.g., scenarios where network entity 205 and one or more of UEs 215 may be downloading relatively large amounts of data), the rank scheduled by network entity 205 per UE 215 (e.g., for corresponding communications with each of UEs 215) may be relatively low. That is, if resource utilization within one or more cells served by network entity 205 is relatively high, the likelihood that network entity 205 will schedule a relatively low rank for communications with UE 215 may be relatively high. Additionally, due to MU-MIMO, multiple UEs (e.g., two or more of UEs 215) may be scheduled together, for example, in a MU-MIMO group. In such an example, it may be beneficial to use a higher accuracy compression scheme for the stronger layers (e.g., the first two layers, layers 1 and 2), while using a lower accuracy compression scheme for the remaining layers (e.g., layers 3 and 4). That is, it may be beneficial to increase the accuracy of the compression scheme for the stronger layers (e.g., layers 1 and 2) or to decrease the compression accuracy for the weaker layers (e.g., layers 3 and 4), or both.

[0107] In some examples, to increase the compression accuracy of a layer (e.g., to obtain a higher-accuracy compression scheme, to increase the accuracy of the compression scheme), UE 215-a may modify the compression scheme or one or more aspects of the compression scheme. For example, UE 215-a may increase the number of bits used for compression via the compression scheme. In some examples, the compression scheme for a layer may include (e.g., be associated with) a neural network. In such examples, to decrease the compression accuracy of a layer (e.g., to obtain a lower-accuracy compression scheme, to decrease the accuracy of the compression scheme), UE 215-a may decrease the number of bits used for compression via the neural network. For example, the bits that UE 215-a may use to compress the stronger layers (e.g., the first two layers, layers 1 and 2) may be relatively more than the bits that UE 215-a may use to compress the weaker layers (e.g., the remaining layers, layers 3 and 4). In some examples, UE 215-a may adjust the number of bits used for compression per layer via an algorithm. In some examples, the algorithm (e.g., a water-filling algorithm) may be similar to the algorithm used for the eType-II CSF. In some examples, water filling may refer to the UE 215 - a allocating more resources (eg, bits) to layers that may be relatively easier to compress (eg, stronger layers) than to layers that may be relatively difficult to compress (eg, weaker layers).

[0108] In some other examples, such as for traffic scenarios with relatively low resource utilization (e.g., scenarios where traffic may be bursty), there is a relatively high probability that bursts from various UEs operating within a cell (e.g., a cell serving coverage area 210) will not collide. That is, for relatively low resource utilization within coverage area 210, there may be a relatively low probability that a traffic burst sent to UE 215-a will collide with a traffic burst sent to UE 215-b. In other words, (e.g., even on the uplink), relatively low inter-cell interference (e.g., within coverage area 210) may be observed. Consequently, one of UEs 215 may be served with a relatively high rank on the downlink (e.g., from network entity 205). That is, if resource utilization within one or more cells served by network entity 205 is relatively low, there may be a relatively high probability that network entity 205 will schedule a relatively high rank for communication with UE 215-a. In other words, the rank scheduled by network entity 205 for communication with a UE (such as UE 215-a) may be relatively high for scenarios with relatively low resource utilization. In such examples, it may be beneficial to use relatively similar accuracy compression schemes for multiple layers (e.g., all layers). That is, for channel compression in scenarios where resource utilization is relatively low, UE 215-a may modify one or more compression schemes to achieve relatively similar accuracy across multiple layers (e.g., across all layers, up to a rank that UE 215-a may request from network entity 205).

[0109] In some examples, to achieve relatively similar accuracy across multiple layers, UE 215-a may reduce the accuracy of the compression scheme used for stronger layers (e.g., layers 1 and 2), or increase the compression accuracy for weaker layers (e.g., layers 3 and 4), or both. For example, the bits that UE 215-a may use to compress the stronger layers (e.g., the first two layers, layers 1 and 2) may be relatively fewer than the bits that UE 215-a may use to compress the weaker layers (e.g., the remaining layers, layers 3 and 4). In some examples, UE 215-a may adjust the number of bits used for compression per layer via an algorithm. In some examples of the algorithm (e.g., an anti-waterfilling algorithm), a greater number of bits may be used to compress the weaker layers (e.g., the lower energy layers) as compared to the stronger layers (e.g., the higher energy layers) so that the respective accuracy (e.g., the overall accuracy) of each layer may be relatively similar (e.g., may meet a threshold).

[0110] In some examples, to increase (or decrease) the number of bits used to compress a vector (e.g., a vector corresponding to a particular layer), UE 215-a may modify the neural network (or portion of the neural network) used to compress the vector. For example, UE 215-a may switch (e.g., change) the neural network or modify (e.g., change, alter, switch) one or more aspects of the neural network. For example, multiple neural networks may be used (e.g., stored, trained) at UE 215-a and network entity 205. That is, a number of neural networks may be trained for varying degrees of accuracy for each layer. In some examples, multiple neural networks may be trained at network entity 205 and indicated to UE 215-a (or otherwise configured at the UE). Additionally or alternatively, multiple neural networks may be trained at both UE 215-a and network entity 205. In such examples, UE 215-a may be configured to compress each layer using a corresponding neural network. Additionally, network entity 205 may be configured to reconstruct each layer using a corresponding neural network. In some examples, the neural network used to compress the layer at UE 215 - a may be the same neural network (eg, from multiple neural networks) used to reconstruct the layer at network entity 205 .

[0111] like Figure 2 As illustrated in the example of FIG, UE 215-a may receive signaling including resource utilization indication 230 from network entity 205 (e.g., via a cell providing coverage area 210). In some examples, resource utilization indication 230 may indicate a resource utilization status associated with at least the cell. For example, the resource utilization status may be associated with the cell providing coverage area 210, one or more other cells served by network entity 205, one or more other cells served by another network entity, or any combination thereof.

[0112] In some examples, network entity 205 (e.g., gNB) may signal to UE 215-a that resource utilization is relatively low. For example, resource utilization indication 230 may indicate to UE 215-a that resource utilization associated with at least a cell is relatively low. In such an example (e.g., in response to receiving the indication of relatively low resource utilization), UE 215-a may modify one or more compression schemes used at UE 215-a (e.g., at its end) so that the accuracy of the layers (e.g., all layers) of the channel are relatively similar. In other words, UE 215-a may modify one or more compression schemes used at UE 215-a (e.g., at its end) so that the accuracy of each vector of the compressed channel response matrix is ​​relatively similar (e.g., may meet a threshold). In other words, UE 215-a may modify one or more compression schemes used at UE 215-a so that the accuracy associated with the compression of each vector of the channel response matrix meets the threshold.

[0113] For example, UE 215-a may use a first compression scheme 240 to compress first CSI associated with a first layer used for wireless communication between UE 215-a and network entity 205 via a cell. In some examples, in response to receiving resource utilization indication 230, UE 215-a may modify first compression scheme 240 based on the indicated resource utilization status. For example, resource utilization indication 230 may indicate a relatively low resource utilization status. In this example, UE 215-a may modify first compression scheme 240 so that the accuracy associated with compression of the first layer meets a threshold (e.g., similar to the accuracy associated with compression of one or more other layers). For example, first compression scheme 240 may be used to compress vectors corresponding to layer 4. In this example, if resource utilization indication 230 indicates a relatively low resource utilization status, UE 215-a may modify first compression scheme 240 to improve the accuracy of the compressed vector (e.g., by increasing the number of bits used for compression).

[0114] In some examples, UE 215-a may signal to network entity 205 (e.g., gNB) that such a change has occurred (e.g., at a particular time slot). For example, UE 215-a may send signaling via the cell including compression scheme indication 235. In some examples, compression scheme indication 235 may indicate a modification to first compression scheme 240 (e.g., a compression scheme used to compress first CSI associated with a first layer used for wireless communications via the cell). That is, compression scheme indication 235 may instruct UE 215-a to modify the first compression scheme (or how UE 215-a should modify the first compression scheme) based on the resource utilization status indicated via resource utilization indication 230.

[0115] In some examples, first compression scheme 240 may include neural network 245. For example, UE 215-a may use neural network 245 to compress first CSI associated with a first layer. In this example, modification of first compression scheme 240 may include selecting neural network 245 based on resource utilization status. For example, resource utilization indication 230 may indicate that resource utilization status is relatively low. In this example, UE 215-a may select neural network 245 such that the accuracy associated with compression of the first layer meets a threshold (e.g., similar to the accuracy associated with compression of one or more other layers). In this example, compression scheme indication 235 may indicate a neural network identifier (ID) selected for compressing the first layer. That is, compression scheme indication 235 may indicate the neural network ID corresponding to neural network 245. For example, if UE 215-a uses neural network 245 to compress a vector corresponding to the first layer, network entity 205 may use neural network 245 (or another suitable neural network) to reconstruct the vector. Accordingly, compression scheme indication 235 may include a layer ID corresponding to the first layer and a neural network ID corresponding to neural network 245, so that network entity 205 can identify a neural network suitable for reconstructing the first layer. In other words, if multiple neural networks have been trained and stored at UE 215-a and network entity 205, UE 215-a can signal to network entity 205 that a change has occurred in a particular layer (e.g., that a particular neural network has been selected for a particular layer).

[0116] In some other examples, network entity 205 (e.g., a gNB) may signal UE 215-a that the load on wireless communication system 200, and therefore resource utilization, is relatively high. That is, resource utilization indication 230 may indicate that the resource utilization state associated with at least a cell is relatively high. In such examples, in response to network entity 205 indicating the relatively high resource utilization state, UE 215-a may modify one or more compression schemes used at UE 215-a to increase compression accuracy for stronger layers and decrease compression accuracy for weaker layers (e.g., improve on stronger layers and decrease on weaker layers). That is, UE 215-a may modify one or more compression schemes used at UE 215-a (e.g., at an end thereof) such that the compression accuracy of vectors of the channel response matrix corresponding to stronger layers (e.g., layers 1, 2) is higher than the compression accuracy of vectors of the channel response matrix corresponding to weaker layers (e.g., layers 3, 4). In other words, UE 215-a may modify one or more compression schemes used at UE 215-a so that the accuracy associated with compression of the first one or more vectors of the channel response matrix may be greater than the accuracy associated with compression of the remaining vectors.

[0117] For example, the first layer may correspond to layer 1 (or layer 2), and the resource utilization indication 230 may indicate that the resource utilization status is relatively high. In this example, UE 215-a may modify first compression scheme 240 so that the accuracy associated with compressing the first layer (e.g., layer 1) is increased. That is, UE 215-a may modify first compression scheme 240 so that the number of bits used to compress vectors corresponding to layer 1 is increased. In some other examples, the first layer may correspond to layer 4 (or layer 3), and the resource utilization indication 230 may indicate that the resource utilization status is relatively high. In such examples, UE 215-a may modify first compression scheme 240 so that the accuracy associated with compressing the first layer (e.g., layer 4) is decreased. That is, UE 215-a may modify first compression scheme 240 so that the number of bits used to compress vectors corresponding to layer 4 is decreased.

[0118] In some examples, network entity 205 may indicate one or more neural network identifiers to UE 215-a for use in compressing one or more layers. For example, resource utilization indication 230 may indicate to UE 215-a a resource utilization status (e.g., whether resource utilization is relatively low or relatively high) and an identifier of a neural network to be used at UE 215-a with first compression scheme 240. Additionally, in some examples, the CSF message may include an indication of one or more neural networks (e.g., all neural networks) to be used at UE 215-a for compressing one or more layers (e.g., all layers).

[0119] In some examples, UE 215-a may signal to network entity 205 (e.g., gNB) that such a change has occurred (e.g., at a particular time slot). For example, if resource utilization indication 230 indicates a relatively high resource utilization state, UE 215-a may select neural network 245 such that the accuracy associated with compression of the first layer is increased or decreased (e.g., increased for layer 1, decreased for layer 4). In this example, compression scheme indication 235 may include a layer ID corresponding to the first layer and a neural network ID corresponding to neural network 245, so that network entity 205 can identify a neural network (e.g., neural network 245 or another neural network) that is suitable for reconstructing the first layer.

[0120] In such an example, network entity 205 may signal to UE 215-a that the likelihood that network entity 205 will schedule a relatively lower rank for communication with UE 215-a may be relatively high. That is, network entity 205 may indicate to UE 215-a that a first rank (e.g., a maximum rank scheduled) that network entity 205 desires to be scheduled for communication with UE 215-a is lower than a second rank requested by UE 215-a (e.g., within a duration, within a future duration). For example, UE 215-a may receive signaling from network entity 205 indicating a first rank associated with wireless communication between UE 215-a and network entity 205 via a cell. In such an example, UE 215-a may determine that the first rank is lower than the second rank requested by UE 215-a. In this example, UE 215-a may modify the first compression scheme based on the first rank (e.g., and the indicated resource utilization state).

[0121] Additionally or alternatively, UE 215-a may lower the rank requested by UE 215-a (e.g., in CSF message 250). For example, UE 215-a may send CSF message 250 to network entity 205 indicating compression of first CSI. In some examples, CSF message 250 may indicate compression of a vector corresponding to the first layer (e.g., and one or more other vectors corresponding to one or more other layers), wherein an accuracy associated with the compression of the first vector may be based on modifying first compression scheme 240. That is, the accuracy may be based on modifying first compression scheme 240. Additionally, CSF message 250 may indicate a request from UE 215-a to use a third rank for wireless communication with network entity 205 via a cell. For example, UE 215-a may request use of a third rank for wireless communication between UE 215-a and network entity 205. In this example, the third rank may be based on the first rank. In some examples, resource allocation at UE 215-a for sending CSF message 250 may be based on resource utilization status. For example, if resource utilization is relatively low, UE 215-a may use an increased number of bits to compress multiple layers with relatively similar accuracy. In this example, because UE 215-a may use an increased number of bits to compress multiple layers with relatively similar accuracy, network entity 205 may allocate an increased amount of resources to UE 215-a for sending CSF message 250. In some examples, by modifying first compression scheme 240 based on resource utilization status (e.g., as indicated via resource utilization indication 230), UE 215-a may improve reliability of wireless communications within wireless communication system 200, among other possible benefits.

[0122] Figure 3An example of a process flow 300 for supporting layer-specific accuracy for a CSF according to one or more aspects of the present disclosure is illustrated. The process flow 300 may implement or be implemented at one or more aspects of the wireless communication system 100 and the wireless communication system 200. For example, the process flow 300 may include example operations associated with a UE 315 and a network entity 305, which may be a network entity that is configured by a wireless communication system 100 and a wireless communication system 200. Figure 1 and Figure 2 Examples and references Figure 1 and Figure 2 Examples of corresponding devices are described. The operations performed at the UE 315 and the network entity 305 can support improvements to communications between the UE 315 and the network entity 305, as well as other benefits. In the following description of the process flow 300, the operations performed at the UE 315 and the network entity 305 can be performed in an order different from the example order shown. Additionally, the operations performed at the UE 315 and the network entity 305 can be performed at different times. Some operations can be combined, and some operations can be omitted.

[0123] In some examples, the UE 315 and the network entity 305 may support a framework for modifying layer-specific CSI compression schemes based on resource utilization. That is, the UE 315 may modify the corresponding compression schemes for one or more layers based on the resource utilization status determined at the network entity 305. Figure 3 In the example of FIG, network entity 305 may determine that the resource utilization status is relatively high. Accordingly, network entity 305 may indicate the resource utilization status to UE 315 so that UE 315 may modify one or more compression schemes used at UE 315 accordingly. For example, based on the relatively high resource utilization status, UE 315 may modify one or more compression schemes so that the accuracy of CSI associated with relatively strong layers can be preserved. For example, UE 315 may use a higher accuracy compression scheme (e.g., more bits) for the stronger layers and a lower accuracy compression scheme (e.g., fewer bits) for the weaker layers.

[0124] At 320, UE 315 may receive a resource utilization indication from network entity 305 via a cell. In some examples, the resource utilization indication may be provided by Figure 1 and Figure 2 Examples and references Figure 1 and Figure 2 For example, the resource utilization indication may indicate a resource utilization state associated with at least a cell. Figure 3 In the example of , the resource utilization indication may indicate that the resource utilization status within at least the cell is relatively high.

[0125] At 325, in response to receiving the resource utilization indication at 320, UE 315 may modify the first compression scheme according to the resource utilization status. In some examples, the first compression scheme may be used at UE 315 to compress first CSI associated with a first layer used for wireless communication between UE 315 and network entity 305 via a cell.

[0126] In some examples, at 330, UE 315 may also modify the second compression scheme based on the resource utilization status. In such examples, the first layer may be associated with a first layer index, and the second layer may be associated with a second layer index that is greater than the first layer index. For example, the first compression scheme may be used to compress layer 1 (or layer 2), and the second compression scheme may be used to compress layer 4 (or layer 3).

[0127] In some examples, based on the relatively high resource utilization state, UE 315 may modify the first compression scheme to use a first number of bits. Additionally, UE 315 may modify the second compression scheme to use a second number of bits, where the second number of bits is less than the first number of bits. Accordingly, based on the first number of bits being greater than the second number of bits, a first accuracy associated with compressing the first CSI (e.g., using the first compression scheme) may be greater than a second accuracy associated with compressing the second CSI (e.g., using the second compression scheme).

[0128] In some examples, at 335, UE 315 may send a compression scheme indication to network entity 305. The compression scheme indication may be a Figure 2 Examples and references Figure 2 Examples of compression scheme indications described herein. For example, the compression scheme indication may indicate that the UE 315 modified the first compression scheme (e.g., and the second compression scheme). Additionally or alternatively, the compression scheme indication may indicate a duration during which the UE 315 modified the first compression scheme, the second compression scheme, or both.

[0129] In some examples 340, the UE 315 may receive a resource allocation indication from the network entity 305 via the cell. The resource allocation indication may be provided by Figure 2 Examples and references Figure 2 Examples of resource allocation indications described herein. For example, the resource allocation indication may indicate resource allocation for sending a CSF message to the network entity 305. In some examples, the resource allocation may be based on resource utilization status. For example, if the resource utilization status is relatively high, the resource allocation may be reduced.

[0130] In some examples, at 345, UE 315 can send a CSF message to network entity 305 using the resource allocation. In such examples, the CSF message can indicate compression of the first CSI, the second CSI, or both. Additionally, in such examples, the accuracy associated with compression of the first CSI can be based on modifying the first compression scheme, and the accuracy associated with compression of the second CSI can be based on modifying the second compression scheme. In some examples, by modifying the layer-specific compression scheme, UE 315 can improve CSF reporting to network entity 305, among other possible benefits.

[0131] Figure 4 An example of a process flow 400 for supporting layer-specific accuracy for a CSF according to one or more aspects of the present disclosure is illustrated. The process flow 400 may implement or be implemented at one or more aspects of the wireless communication system 100, the wireless communication system 200, and the process flow 300. For example, the process flow 400 may include example operations associated with a UE 415 and a network entity 405, which may be provided by Figures 1 to 3 Examples and references Figures 1 to 3 Examples of corresponding devices are described. The operations performed at the UE 415 and the network entity 405 can support improvements to communications between the UE 415 and the network entity 405, as well as other benefits. In the following description of the process flow 400, the operations performed at the UE 415 and the network entity 405 can be performed in an order different from the example order shown. Additionally, the operations performed at the UE 415 and the network entity 405 can be performed at different times. Some operations can be combined, and some operations can be omitted.

[0132] In some examples, network entity 405 may be able to indicate to UE 415 the likelihood that UE 415 receives a relatively larger rank allocation so that UE 415 can tune CSI compression based on the indicated likelihood. In such examples, the likelihood that UE 415 receives a relatively larger rank allocation can be based on resource utilization status.

[0133] For example, at 420, the network entity 405 may determine a resource utilization status within at least a cell served by the network entity 405. In some examples, the network entity 405 may determine the resource utilization status based on at least uplink resource block usage associated with the cell, at least downlink resource block usage associated with the cell, or both. For example, the network entity 405 may perform one or more measurements to determine uplink resource block usage or downlink resource block usage or both within at least the cell. Figure 4In an example, network entity 405 may determine that the resource utilization state is relatively low. In some examples, if resource utilization is relatively low (e.g., if the load on network entity 405 is relatively light), UE 415 may have an increased likelihood of receiving a grant with a relatively high rank. Accordingly, UE 415 may determine to modify one or more compression schemes used at UE 415 so that compression accuracy for multiple layers (e.g., all layers) can be preserved.

[0134] In some examples, the network entity 405 may send signaling to the UE 415 to trigger the UE 415 to switch one or more neural networks used at the UE 415 for compressing one or more layers. For example, the network entity 405 may instruct the UE 415 to modify the CSI compression accuracy for each layer (e.g., for multiple layers) based on resource utilization status. In some examples, resource utilization within at least a cell may be relatively low (e.g., may be decreasing). In such examples, the network entity 405 may signal the UE 415 to change the compression algorithm (e.g., at the UE 415) so that multiple layers can be compressed with approximately similar accuracy. Additionally or alternatively, the network entity 405 may increase the uplink grant for feedback of the CSF (e.g., including compressed CSI).

[0135] In some examples, the network entity 405 can signal to the UE 415 to modify the compression algorithm (e.g., the CSI compression accuracy for each layer) by sending an indication of one or more neural networks to be used to compress the CSI associated with one or more layers. For example, the network entity 405 can indicate the neural network to be used to compress the CSI associated with the layer. In this example, the UE 415 can modify the compression scheme to include using the indicated neural network to compress the CSI associated with the layer. Additionally or alternatively, as Figure 4 As illustrated in the example of , UE 415 may modify the CSI compression accuracy of each layer based on resource utilization status.

[0136] At 425, the network entity 405 may send a resource utilization indication to the UE 415 via the cell. In some examples, the resource utilization indication may be a reference to Figures 1 to 3 For example, the resource utilization indication may indicate a resource utilization state associated with at least a cell. Figure 4 In the example of , the resource utilization indication may indicate that the resource utilization status within at least the cell is relatively low.

[0137] In some examples, at 430, network entity 405 can send a rank indication to UE 415. The rank indication can be an example of a rank indication as described throughout this disclosure. For example, the rank indication can indicate a first rank associated with wireless communication via the cell. In such examples, one or more modifications to the CSI compression accuracy of each layer can be based on the first rank.

[0138] At 435, network entity 405 may receive a compression scheme indication from UE 415, the compression scheme indication indicating a first modification to a first compression scheme used to compress first CSI associated with a first layer used for wireless communications via the cell. In some examples, the first modification may be based on the resource utilization status and the first rank. That is, the compression scheme indication may indicate that UE 415 modified a neural network (or one or more aspects of the neural network, such as the number of nodes or the number of hidden layers) used to compress the first CSI. In some examples, the compression scheme indication may indicate that UE 415 modified the neural network by indicating a change in the neural network ID. In some examples, the compression scheme indication may indicate a second modification to a second compression scheme used to compress second CSI associated with a second layer used for wireless communications via the cell. In such examples, the second modification may also be based on the resource utilization status (e.g., and the first rank). In some examples, the compression scheme indication may indicate a duration during which UE 415 modified the first compression scheme, the second compression scheme, or both.

[0139] In some examples, the first layer may correspond to a stronger layer (e.g., layer 1 or layer 2), and the second layer may correspond to a weaker layer (e.g., layer 4 or layer 3). In such examples, based on the resource utilization state being relatively low, the first modification may identify a first number of bits for compressing the first CSI (e.g., for the first layer), and the second modification may identify a second number of bits for compressing the second CSI (e.g., for the second layer), where the first number of bits is less than the second number of bits. For example, the first modification may instruct UE 415 to compress the first CSI for the first layer using a first neural network associated with the first number of bits, and to compress the second CSI for the second layer using a second neural network associated with the second number of bits. In some examples, based on the first number of bits being less than the second number of bits, the first accuracy associated with compressing the first CSI and the second accuracy associated with compressing the second CSI may meet a threshold (e.g., be relatively similar).

[0140] In some examples, at 440, the network entity 405 may send a resource allocation indication to the UE 415 via the cell. The resource allocation indication may be a Figure 2 and Figure 3 Examples and references Figure 2 and Figure 3Examples of resource allocation indications described herein. For example, the resource allocation indication may indicate resource allocation for sending a CSF message to the network entity 405. In some examples, resource allocation may be based on resource utilization status. For example, based on a relatively low resource utilization status, the network allocation of resources may be increased.

[0141] In some examples, at 445, network entity 405 may receive a CSF message using the resource allocation. In such examples, the CSF message may indicate compression of the first CSI, compression of the second CSI, or both. Additionally or alternatively, the accuracy associated with the compression of the first CSI may be based on a first modification of the first compression scheme, and the accuracy associated with the compression of the second CSI may be based on a second modification of the second compression scheme. In some examples, the CSF message may indicate a request for network entity 405 to use a second rank for wireless communication with UE 415 via the cell. In such examples, the second rank may be based on the first rank (e.g., indicated at 430). In some examples, by indicating the resource utilization status to UE 415, network entity 405 may achieve layer-specific accuracy for the CSF, which may result in increased reliability and reduced latency in wireless communication between network entity 405 and UE 415, among other possible benefits.

[0142] Figure 5 A block diagram 500 illustrates a device 505 that supports layer-specific accuracy for a CSF according to one or more aspects of the present disclosure. The device 505 can be an example of aspects of a UE 115 as described herein. The device 505 can include a receiver 510, a transmitter 515, and a communication manager 520. The device 505 can also include a processor. Each of these components can communicate with each other (e.g., via one or more buses).

[0143] Receiver 510 may provide means for receiving information (such as packets, user data, control information, or any combination thereof) associated with various information channels (e.g., control channels, data channels, information channels related to layer-specific accuracy for CSF). The information may be passed to other components of device 505. Receiver 510 may utilize a single antenna or a collection of multiple antennas.

[0144] Transmitter 515 may provide means for transmitting signals generated by other components of device 505. For example, transmitter 515 may transmit information (such as packets, user data, control information, or any combination thereof) associated with various information channels (e.g., a control channel, a data channel, an information channel associated with layer-specific accuracy for a CSF). In some examples, transmitter 515 may be co-located with receiver 510 in a transceiver module. Transmitter 515 may utilize a single antenna or a collection of multiple antennas.

[0145] The communication manager 520, receiver 510, transmitter 515, or various combinations thereof, or various components thereof, may be examples of means for performing various aspects of layer-specific accuracy for a CSF as described herein. For example, the communication manager 520, receiver 510, transmitter 515, or various combinations thereof, or components thereof, may support methods for performing one or more of the functions described herein.

[0146] In some examples, the communication manager 520, the receiver 510, the transmitter 515, or various combinations or components thereof can be implemented in hardware (e.g., in a communication management circuit). The hardware may include a processor, a digital signal processor (DSP), a central processing unit (CPU), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic device, a microcontroller, discrete gate or transistor logic components, discrete hardware components, or any combination thereof configured as or otherwise supporting components for performing the functions described in this disclosure. In some examples, the processor and a memory coupled to the processor can be configured to perform one or more of the functions described herein (e.g., by executing instructions stored in the memory by the processor).

[0147] Additionally or alternatively, in some examples, the communication manager 520, receiver 510, transmitter 515, or various combinations or components thereof may be implemented in code executed by a processor (e.g., as communication management software or firmware). If implemented in code executed by a processor, the functionality of the communication manager 520, receiver 510, transmitter 515, or various combinations or components thereof may be performed by a general-purpose processor (e.g., configured as or otherwise supporting means for performing the functions described in this disclosure), a DSP, a CPU, an ASIC, an FPGA, a microcontroller, or any combination of these or other programmable logic devices.

[0148] In some examples, communication manager 520 can be configured to perform various operations (e.g., receive, obtain, monitor, output, transmit) using or otherwise cooperating with receiver 510, transmitter 515, or both. For example, communication manager 520 can receive information from receiver 510, transmit information to transmitter 515, or be integrated with receiver 510, transmitter 515, or both to obtain information, output information, or perform various other operations as described herein.

[0149] According to examples disclosed herein, the communication manager 520 can support wireless communications at a UE (e.g., device 505). For example, the communication manager 520 can be configured as or otherwise support means for receiving, via a cell, first signaling from a network entity, the first signaling indicating at least a resource utilization status associated with the cell. The communication manager 520 can be configured as or otherwise support means for modifying, based on the resource utilization status, a first compression scheme for compressing first CSI associated with a first layer for wireless communications between the UE and the network entity via the cell.

[0150] By including or configuring a communication manager 520 according to examples as described herein, the device 505 (e.g., a processor controlling or otherwise coupled with the receiver 510, transmitter 515, communication manager 520, or a combination thereof) can support techniques for more efficiently utilizing communication resources.

[0151] Figure 6 A block diagram 600 illustrates a device 605 that supports layer-specific accuracy for a CSF according to one or more aspects of the present disclosure. The device 605 can be an example of aspects of the device 505 or UE 115 as described herein. The device 605 can include a receiver 610, a transmitter 615, and a communication manager 620. The device 605 can also include a processor. Each of these components can communicate with each other (e.g., via one or more buses).

[0152] Receiver 610 may provide means for receiving information (such as packets, user data, control information, or any combination thereof) associated with various information channels (e.g., control channels, data channels, information channels related to layer-specific accuracy for CSF). The information may be passed to other components of device 605. Receiver 610 may utilize a single antenna or a collection of multiple antennas.

[0153] Transmitter 615 may provide means for transmitting signals generated by other components of device 605. For example, transmitter 615 may transmit information (such as packets, user data, control information, or any combination thereof) associated with various information channels (e.g., control channels, data channels, information channels related to layer-specific accuracy for CSFs). In some examples, transmitter 615 may be co-located with receiver 610 in a transceiver module. Transmitter 615 may utilize a single antenna or a collection of multiple antennas.

[0154] Device 605 or its various components may be examples of components for performing various aspects of layer-specific accuracy for CSF as described herein. For example, communication manager 620 may include resource utilization component 625, compression scheme component 630, or any combination thereof. Communication manager 620 may be an example of aspects of communication manager 520 as described herein. In some examples, communication manager 620 or its various components may be configured to perform various operations (e.g., receive, obtain, monitor, output, transmit) using or otherwise cooperating with receiver 610, transmitter 615, or both. For example, communication manager 620 may receive information from receiver 610, transmit information to transmitter 615, or be integrated with receiver 610, transmitter 615, or both to obtain information, output information, or perform various other operations as described herein.

[0155] According to examples disclosed herein, a communication manager 620 can support wireless communications at a UE (e.g., device 605). A resource utilization component 625 can be configured as or otherwise support means for receiving, via a cell, first signaling from a network entity, the first signaling indicating at least a resource utilization status associated with the cell. A compression scheme component 630 can be configured as or otherwise support means for modifying, based on the resource utilization status, a first compression scheme for compressing first CSI associated with a first layer for wireless communications between the UE and the network entity via the cell.

[0156] Figure 7 A block diagram 700 illustrates a communication manager 720 that supports layer-specific accuracy for a CSF in accordance with one or more aspects of the present disclosure. The communication manager 720 can be an example of aspects of the communication manager 520, the communication manager 620, or both, as described herein. The communication manager 720 or its various components can be examples of means for performing various aspects of layer-specific accuracy for a CSF as described herein. For example, the communication manager 720 can include a resource utilization component 725, a compression scheme component 730, a resource allocation component 735, a rank component 740, a feedback component 745, or any combination thereof. Each of these components can communicate with each other directly or indirectly (e.g., via one or more buses).

[0157] According to examples disclosed herein, a communication manager 720 can support wireless communications at a UE. A resource utilization component 725 can be configured as or otherwise support means for receiving, via a cell, first signaling from a network entity, the first signaling indicating at least a resource utilization status associated with the cell. A compression scheme component 730 can be configured as or otherwise support means for modifying, based on the resource utilization status, a first compression scheme for compressing first CSI associated with a first layer for wireless communications between the UE and the network entity via the cell.

[0158] In some examples, resource allocation component 735 may be configured as or otherwise support means for receiving second signaling from a network entity via a cell, wherein the second signaling indicates resource allocation for sending a CSF message to the network entity, and wherein the resource allocation is based on a resource utilization state.

[0159] In some examples, feedback component 745 can be configured as or otherwise support means for sending a CSF message to a network entity using the resource allocation, wherein the CSF message indicates compression of the first CSI, and wherein the accuracy associated with the compression is based on modifying the first compression scheme.

[0160] In some examples, compression scheme component 730 may be configured as or otherwise support means for receiving second signaling from a network entity via a cell, wherein the second signaling identifies a neural network to be used with the first compression scheme, and wherein the neural network is associated with a resource utilization state.

[0161] In some examples, to support modification of the first compression scheme based on resource utilization status, compression scheme component 730 may be configured as or otherwise support means for modifying the first compression scheme to include compressing the first CSI using a neural network.

[0162] In some examples, compression scheme component 730 can be configured as or otherwise support means for sending second signaling to a network entity indicating that the UE modified the first compression scheme, a duration during which the UE modified the first compression scheme, or both. In some examples, the second signaling further indicates a neural network, a first layer, or both associated with the first compression scheme.

[0163] In some examples, the rank component 740 may be configured as or otherwise support a component for receiving second signaling from a network entity, the second signaling indicating a first rank associated with wireless communication between the UE and the network entity via a cell, wherein modifying the first compression scheme is based on the first rank, and wherein the first rank is different from a second rank requested by the UE for wireless communication between the UE and the network entity.

[0164] In some examples, the rank component 740 may be configured as or otherwise support a component for sending third signaling to a network entity in response to receiving second signaling, the third signaling indicating a request to use a third rank for wireless communication between the UE and the network entity via a cell, wherein the third rank is based on the first rank.

[0165] In some examples, the compression scheme component 730 may be configured as or otherwise support means for modifying a second compression scheme based on a resource utilization state, wherein the second compression scheme is used to compress second CSI associated with a second layer for wireless communication between a UE and a network entity via a cell, and wherein the first layer is associated with a first layer index and the second layer is associated with a second layer index that is greater than the first layer index.

[0166] In some examples, the first compression scheme is modified to compress the first CSI using a first number of bits, and the second compression scheme is modified to compress the second CSI using a second number of bits. In some examples, the first number of bits is greater than the second number of bits. In some examples, based on the first number of bits being greater than the second number of bits, a first accuracy associated with compressing the first CSI is greater than a second accuracy associated with compressing the second CSI.

[0167] In some examples, a first compression scheme is modified to compress the first CSI using a first number of bits, and a second compression scheme is modified to compress the second CSI using a second number of bits. In some examples, the first number of bits is less than the second number of bits. In some examples, based on the first number of bits being less than the second number of bits, a first accuracy associated with compressing the first CSI and a second accuracy associated with compressing the second CSI satisfy a threshold.

[0168] Figure 8 A diagram illustrates a system 800 including a device 805 that supports layer-specific accuracy for a CSF, in accordance with one or more aspects of the present disclosure. Device 805 may be an example of device 505, device 605, or UE 115, as described herein, or may include components of such devices. Device 805 may communicate (e.g., wirelessly) with one or more network entities 105, one or more UEs 115, or any combination thereof. Device 805 may include components for two-way voice and data communication, including components for sending and receiving communications, such as a communication manager 820, an input / output (I / O) controller 810, a transceiver 815, an antenna 825, memory 830, code 835, and a processor 840. These components may be in electronic communication or otherwise coupled (e.g., operatively, communicatively, functionally, electronically, or electrically) via one or more buses (e.g., bus 845).

[0169] I / O controller 810 can manage input and output signals for device 805. I / O controller 810 can also manage peripheral devices that are not integrated into device 805. In some cases, I / O controller 810 can represent a physical connection or port to an external peripheral device. In some cases, I / O controller 810 can utilize an operating system such as iOS. ® ANDROID ® , MS-DOS ® 、MS-WINDOWS ® , OS / 2 ® , UNIX ® 、LINUX ® or another known operating system. Additionally or alternatively, I / O controller 810 may represent or interact with a modem, keyboard, mouse, touch screen, or similar device. In some cases, I / O controller 810 may be implemented as part of a processor (such as processor 840). In some cases, a user may interact with device 805 via I / O controller 810 or via hardware components controlled by I / O controller 810.

[0170] In some cases, the device 805 may include a single antenna 825. However, in some other cases, the device 805 may have more than one antenna 825, which may be capable of concurrently transmitting or receiving multiple wireless transmissions. The transceiver 815 may communicate bidirectionally via one or more antennas 825, wired, or wireless links, as described herein. For example, the transceiver 815 may represent a wireless transceiver and may communicate bidirectionally with another wireless transceiver. The transceiver 815 may also include a modem for modulating packets; providing the modulated packets to the one or more antennas 825 for transmission; and demodulating packets received from the one or more antennas 825. The transceiver 815, or the transceiver 815 and the one or more antennas 825, may be examples of a transmitter 515, a transmitter 615, a receiver 510, a receiver 610, or any combination thereof, or components thereof, as described herein.

[0171] The memory 830 may include random access memory (RAM) and read-only memory (ROM). The memory 830 may store computer-readable, computer-executable code 835 including instructions that, when executed by the processor 840, cause the device 805 to perform the various functions described herein. The code 835 may be stored in a non-transitory computer-readable medium such as system memory or another type of memory. In some cases, the code 835 may not be directly executable by the processor 840, but may (e.g., when compiled and executed) cause a computer to perform the functions described herein. In some cases, the memory 830 may also contain, among other things, a basic I / O system (BIOS) that may control basic hardware or software operations, such as interaction with peripheral components or devices.

[0172] The processor 840 may include an intelligent hardware device (e.g., a general-purpose processor, a DSP, a CPU, a microcontroller, an ASIC, an FPGA, a programmable logic device, discrete gate or transistor logic components, discrete hardware components, or any combination thereof). In some cases, the processor 840 may be configured to operate a memory array using a memory controller. In some other cases, the memory controller may be integrated into the processor 840. The processor 840 may be configured to execute computer-readable instructions stored in a memory (e.g., memory 830) to cause the device 805 to perform various functions (e.g., functions or tasks that support layer-specific accuracy for CSF). For example, the device 805 or a component of the device 805 may include the processor 840 and the memory 830 coupled to or coupled to the processor 840, the processor 840 and the memory 830 being configured to perform the various functions described herein.

[0173] According to examples disclosed herein, the communication manager 820 can support wireless communications at a UE (e.g., device 805). For example, the communication manager 820 can be configured as or otherwise support means for receiving, via a cell, first signaling from a network entity, the first signaling indicating at least a resource utilization status associated with the cell. The communication manager 820 can be configured as or otherwise support means for modifying, based on the resource utilization status, a first compression scheme for compressing first CSI associated with a first layer for wireless communications between the UE and the network entity via the cell.

[0174] By including or configuring a communications manager 820 according to examples as described herein, the device 805 can support techniques for improving communications reliability, reducing latency, and more efficiently utilizing communications resources.

[0175] In some examples, the communication manager 820 can be configured to perform various operations (e.g., receive, monitor, transmit) using or otherwise coordinating with the transceiver 815, one or more antennas 825, or any combination thereof. Although the communication manager 820 is illustrated as a separate component, in some examples, one or more functions described with reference to the communication manager 820 can be supported or performed by the processor 840, the memory 830, the code 835, or any combination thereof. For example, the code 835 can include instructions that are executable by the processor 840 to cause the device 805 to perform various aspects of layer-specific accuracy for CSF as described herein, or the processor 840 and the memory 830 can be otherwise configured to perform or support such operations.

[0176] Figure 9 A block diagram 900 illustrates a device 905 that supports layer-specific accuracy for a CSF according to one or more aspects of the present disclosure. The device 905 can be an example of aspects of the network entity 105 as described herein. The device 905 can include a receiver 910, a transmitter 915, and a communication manager 920. The device 905 can also include a processor. Each of these components can communicate with each other (e.g., via one or more buses).

[0177] Receiver 910 may provide means for obtaining (e.g., receiving, determining, identifying) information associated with various channels (e.g., control channels, data channels, information channels, channels associated with a protocol stack), such as user data, control information, or any combination thereof (e.g., I / Q samples, symbols, packets, protocol data units, service data units). The information may be communicated to other components of device 905. In some examples, receiver 910 may support obtaining information by receiving signals via one or more antennas. Additionally or alternatively, receiver 910 may support obtaining information by receiving signals via one or more wired (e.g., electrical, optical) interfaces, wireless interfaces, or any combination thereof.

[0178] Transmitter 915 may provide means for outputting (e.g., transmitting, providing, conveying, transmitting) information generated by other components of device 905. For example, transmitter 915 may output information associated with various channels (e.g., control channels, data channels, information channels, channels associated with a protocol stack), such as user data, control information, or any combination thereof (e.g., I / Q samples, symbols, packets, protocol data units, service data units). In some examples, transmitter 915 may support outputting information by transmitting signals via one or more antennas. Additionally or alternatively, transmitter 915 may support outputting information by transmitting signals via one or more wired (e.g., electrical, optical) interfaces, wireless interfaces, or any combination thereof. In some examples, transmitter 915 and receiver 910 may be co-located in a transceiver, which may include or be coupled to a modem.

[0179] The communication manager 920, receiver 910, transmitter 915, or various combinations thereof, or various components thereof, may be examples of means for performing various aspects of layer-specific accuracy for a CSF as described herein. For example, the communication manager 920, receiver 910, transmitter 915, or various combinations thereof, or components thereof, may support methods for performing one or more of the functions described herein.

[0180] In some examples, the communication manager 920, the receiver 910, the transmitter 915, or various combinations or components thereof may be implemented in hardware (e.g., in a communication management circuit). The hardware may include a processor, a DSP, a CPU, an ASIC, an FPGA or other programmable logic device, a microcontroller, discrete gate or transistor logic components, discrete hardware components, or any combination thereof configured as or otherwise supporting components for performing the functions described in this disclosure. In some examples, the processor and a memory coupled to the processor may be configured to perform one or more of the functions described herein (e.g., by executing instructions stored in the memory by the processor).

[0181] Additionally or alternatively, in some examples, the communication manager 920, receiver 910, transmitter 915, or various combinations or components thereof may be implemented in code executed by a processor (e.g., as communication management software or firmware). If implemented in code executed by a processor, the functionality of the communication manager 920, receiver 910, transmitter 915, or various combinations or components thereof may be performed by a general-purpose processor (e.g., configured as or otherwise supporting means for performing the functions described in this disclosure), a DSP, a CPU, an ASIC, an FPGA, a microcontroller, or any combination of these or other programmable logic devices.

[0182] In some examples, the communication manager 920 can be configured to perform various operations (e.g., receive, obtain, monitor, output, transmit) using or otherwise cooperating with the receiver 910, the transmitter 915, or both. For example, the communication manager 920 can receive information from the receiver 910, transmit information to the transmitter 915, or be integrated with the receiver 910, the transmitter 915, or both to obtain information, output information, or perform various other operations as described herein.

[0183] According to examples disclosed herein, the communication manager 920 can support wireless communications at a network entity (e.g., device 905). For example, the communication manager 920 can be configured as or otherwise support means for outputting, via a cell, first signaling indicating at least a resource utilization state associated with the cell. The communication manager 920 can be configured as or otherwise support means for obtaining, via the cell, second signaling indicating a first modification to a first compression scheme for compressing first CSI associated with a first layer for wireless communications via the cell, the first modification being based on the resource utilization state.

[0184] By including or configuring a communication manager 920 according to examples as described herein, the device 905 (e.g., a processor controlling or otherwise coupled with the receiver 910, transmitter 915, communication manager 920, or a combination thereof) can support techniques for more efficiently utilizing communication resources.

[0185] Figure 10 Block diagram 1000 illustrates a device 1005 that supports layer-specific accuracy for a CSF according to one or more aspects of the present disclosure. Device 1005 can be an example of aspects of device 905 or network entity 105 as described herein. Device 1005 can include a receiver 1010, a transmitter 1015, and a communication manager 1020. Device 1005 can also include a processor. Each of these components can communicate with each other (e.g., via one or more buses).

[0186] Receiver 1010 may provide means for obtaining (e.g., receiving, determining, identifying) information associated with various channels (e.g., control channels, data channels, information channels, channels associated with a protocol stack), such as user data, control information, or any combination thereof (e.g., I / Q samples, symbols, packets, protocol data units, service data units). The information may be communicated to other components of device 1005. In some examples, receiver 1010 may support obtaining information by receiving signals via one or more antennas. Additionally or alternatively, receiver 1010 may support obtaining information by receiving signals via one or more wired (e.g., electrical, optical) interfaces, wireless interfaces, or any combination thereof.

[0187] Transmitter 1015 may provide means for outputting (e.g., transmitting, providing, conveying, transmitting) information generated by other components of device 1005. For example, transmitter 1015 may output information associated with various channels (e.g., control channels, data channels, information channels, channels associated with a protocol stack), such as user data, control information, or any combination thereof (e.g., I / Q samples, symbols, packets, protocol data units, service data units). In some examples, transmitter 1015 may support outputting information by transmitting signals via one or more antennas. Additionally or alternatively, transmitter 1015 may support outputting information by transmitting signals via one or more wired (e.g., electrical, optical) interfaces, wireless interfaces, or any combination thereof. In some examples, transmitter 1015 and receiver 1010 may be co-located in a transceiver, which may include or be coupled to a modem.

[0188] Device 1005 or its various components may be examples of components for performing various aspects of layer-specific accuracy for CSF as described herein. For example, communication manager 1020 may include resource utilization indication component 1025, compression scheme indication component 1030, or any combination thereof. Communication manager 1020 may be an example of aspects of communication manager 920 as described herein. In some examples, communication manager 1020 or its various components may be configured to perform various operations (e.g., receive, obtain, monitor, output, transmit) using or otherwise cooperating with receiver 1010, transmitter 1015, or both. For example, communication manager 1020 may receive information from receiver 1010, transmit information to transmitter 1015, or be integrated in conjunction with receiver 1010, transmitter 1015, or both to obtain information, output information, or perform various other operations as described herein.

[0189] According to examples disclosed herein, communication manager 1020 can support wireless communications at a network entity (e.g., device 1005). Resource utilization indication component 1025 can be configured as or otherwise support means for outputting, via a cell, first signaling indicating at least a resource utilization status associated with the cell. Compression scheme indication component 1030 can be configured as or otherwise support means for obtaining, via the cell, second signaling indicating a first modification to a first compression scheme for compressing first CSI associated with a first layer for wireless communications via the cell, the first modification being based on the resource utilization status.

[0190] Figure 11Block diagram 1100 illustrates a communication manager 1120 that supports layer-specific accuracy for CSFs in accordance with one or more aspects of the present disclosure. Communication manager 1120 can be an example of communication manager 920, communication manager 1020, or aspects of both as described herein. Communication manager 1120 or its various components can be examples of means for performing various aspects of layer-specific accuracy for CSFs as described herein. For example, communication manager 1120 can include a resource utilization indication component 1125, a compression scheme indication component 1130, a resource allocation indication component 1135, a neural network indication component 1140, a rank indication component 1145, a CSF component 1150, or any combination thereof. Each of these components may communicate directly or indirectly with each other (e.g., via one or more buses), which communication may include communication within a protocol layer of a protocol stack, communication associated with a logical channel of a protocol stack (e.g., between protocol layers of a protocol stack, within a device, component, or virtualized component associated with the network entity 105, between devices, components, or virtualized components associated with the network entity 105), or any combination thereof.

[0191] According to examples disclosed herein, a communication manager 1120 can support wireless communications at a network entity. A resource utilization indication component 1125 can be configured as or otherwise support means for outputting, via a cell, first signaling indicating at least a resource utilization status associated with the cell. A compression scheme indication component 1130 can be configured as or otherwise support means for obtaining, via the cell, second signaling indicating a first modification to a first compression scheme for compressing first CSI associated with a first layer for wireless communications via the cell, the first modification being based on the resource utilization status.

[0192] In some examples, resource allocation indicating component 1135 can be configured as or otherwise support means for outputting third signaling indicating a resource allocation for sending a CSF message to a network entity, wherein the resource allocation is based on a resource utilization status.

[0193] In some examples, CSF component 1150 can be configured as or otherwise support means for obtaining a CSF message using the resource allocation, wherein the CSF message indicates compression of the first CSI, and wherein the accuracy associated with the compression is based on the first modification.

[0194] In some examples, neural network indicating component 1140 can be configured as or otherwise support means for outputting, via the cell, third signaling identifying a neural network to be used with the first compression scheme, wherein the neural network is associated with the resource utilization state. In some examples, the second signaling further indicates a duration during which a first modification to the first compression scheme occurs, a neural network associated with the first compression scheme, a first layer, or any combination thereof.

[0195] In some examples, rank indicating component 1145 can be configured as or otherwise support means for outputting third signaling indicating a first rank associated with wireless communication via the cell, wherein the first modification is based on the first rank. In some examples, rank indicating component 1145 can be configured as or otherwise support means for obtaining fourth signaling in response to outputting the third signaling, wherein the fourth signaling indicates a request to use a second rank for wireless communication via the cell, and wherein the second rank is based on the first rank.

[0196] In some examples, the second signaling further indicates a second modification to a second compression scheme for compressing second CSI associated with a second layer for wireless communication via the cell. In some examples, the second modification is based on resource utilization status.

[0197] In some examples, the first modification flag is used to compress a first number of bits of the first CSI, and the second modification flag is used to compress a second number of bits of the second CSI. In some examples, the first number of bits is greater than the second number of bits. In some examples, based on the first number of bits being greater than the second number of bits, a first accuracy associated with compressing the first CSI is greater than a second accuracy associated with compressing the second CSI.

[0198] In some examples, the first modification flag is used to compress the first CSI by a first number of bits, and the second modification flag is used to compress the second CSI by a second number of bits. In some examples, the first number of bits is less than the second number of bits. In some examples, based on the first number of bits being less than the second number of bits, a first accuracy associated with compressing the first CSI and a second accuracy associated with compressing the second CSI meet a threshold.

[0199] In some examples, resource utilization indication component 1125 can be configured as or otherwise support means for determining resource utilization status based on at least uplink resource block usage associated with a cell, at least downlink resource block usage associated with a cell, or both.

[0200] Figure 12A diagram illustrates a system 1200 including a device 1205 that supports layer-specific accuracy for a CSF, in accordance with one or more aspects of the present disclosure. Device 1205 may be an example of, or include components of, device 905, device 1005, or network entity 105, as described herein. Device 1205 may communicate with one or more network entities 105, one or more UEs 115, or any combination thereof, including via one or more wired interfaces, via one or more wireless interfaces, or any combination thereof. Device 1205 may include components that support outgoing and incoming communications, such as a communications manager 1220, a transceiver 1210, an antenna 1215, memory 1225, code 1230, and a processor 1235. These components may be in electronic communication or otherwise coupled (e.g., operatively, communicatively, functionally, electronically, or electrically) via one or more buses (e.g., bus 1240).

[0201] The transceiver 1210 may support bidirectional communication via a wired link, a wireless link, or both as described herein. In some examples, the transceiver 1210 may include a wired transceiver and may communicate bidirectionally with another wired transceiver. Additionally or alternatively, in some examples, the transceiver 1210 may include a wireless transceiver and may communicate bidirectionally with another wireless transceiver. In some examples, the device 1205 may include one or more antennas 1215, which may be capable of transmitting or receiving wireless transmissions (e.g., concurrently). The transceiver 1210 may also include a modem to: modulate a signal; provide the modulated signal for transmission (e.g., via one or more antennas 1215, via a wired transmitter); receive the modulated signal (e.g., from one or more antennas 1215, from a wired receiver); and demodulate the signal. In some implementations, the transceiver 1210 may include one or more interfaces, such as one or more interfaces coupled to one or more antennas 1215 configured to support various receive or obtain operations, or one or more interfaces coupled to one or more antennas 1215 configured to support various transmit or output operations, or a combination thereof. In some implementations, the transceiver 1210 may include or be configured to be coupled to one or more processors or memory components operable to perform or support operations based on received or obtained information or signals, or to generate information or other signals for transmission or other output, or any combination thereof. In some implementations, the transceiver 1210, or the transceiver 1210 and one or more antennas 1215, or the transceiver 1210 and one or more antennas 1215 and one or more processors or memory components (e.g., processor 1235 or memory 1225 or both) may be included in a chip or chip assembly installed in the device 1205. In some examples, the transceiver may be operable to support communications via one or more communication links (eg, communication link 125 , backhaul communication link 120 , midhaul communication link 162 , fronthaul communication link 168 ).

[0202] Memory 1225 may include RAM and ROM. Memory 1225 may store computer-readable, computer-executable code 1230 including instructions that, when executed by processor 1235, cause device 1205 to perform the various functions described herein. Code 1230 may be stored in a non-transitory computer-readable medium such as system memory or another type of memory. In some cases, code 1230 may not be directly executable by processor 1235, but may (e.g., when compiled and executed) cause a computer to perform the functions described herein. In some cases, memory 1225 may contain, for example, a BIOS that controls basic hardware or software operations, such as interaction with peripheral components or devices.

[0203] Processor 1235 may include an intelligent hardware device (e.g., a general-purpose processor, a DSP, an ASIC, a CPU, an FPGA, a microcontroller, a programmable logic device, discrete gate or transistor logic components, discrete hardware components, or any combination thereof). In some cases, processor 1235 may be configured to operate a memory array using a memory controller. In some other cases, the memory controller may be integrated into processor 1235. Processor 1235 may be configured to execute computer-readable instructions stored in a memory (e.g., memory 1225) to cause device 1205 to perform various functions (e.g., functions or tasks that support layer-specific accuracy for CSF). For example, device 1205 or a component of device 1205 may include processor 1235 and memory 1225 coupled to processor 1235, with processor 1235 and memory 1225 configured to perform the various functions described herein. Processor 1235 may be an example of a cloud computing platform (e.g., one or more physical nodes and supporting software (such as an operating system, virtual machine, or container instance)) that can host functionality (e.g., by executing code 1230) to perform the functions of device 1205. Processor 1235 may be any suitable processor or processors capable of executing scripts or instructions of one or more software programs stored in device 1205 (such as within memory 1225). In some implementations, processor 1235 may be a component of a processing system. A processing system may generally refer to a system or series of machines or components that receives inputs and processes those inputs to produce a set of outputs (which may be passed to other systems or components of device 1205, for example). For example, a processing system of device 1205 may refer to a system that includes various other components or subcomponents of device 1205, such as processor 1235, transceiver 1210, communications manager 1220, or other components or combinations of components of device 1205. The processing system of device 1205 can interface with other components of device 1205 and can process information (such as input or signals) received from other components or output information to other components. For example, a chip or modem of device 1205 may include a processing system and one or more interfaces for outputting information, receiving information, or both. The one or more interfaces may be implemented as or otherwise include a first interface configured to output information and a second interface configured to receive information, or the same interface configured to output and receive information, among other implementations. In some implementations, the one or more interfaces may refer to an interface between the processing system of the chip or modem and a transmitter, allowing device 1205 to transmit information output from the chip or modem. Additionally or alternatively, in some implementations, the one or more interfaces may refer to an interface between the processing system of the chip or modem and a receiver, allowing device 1205 to receive information or signal input and pass this information to the processing system.One of ordinary skill in the art will readily recognize that the first interface may also obtain information or signal input, and the second interface may also output information or signal output.

[0204] In some examples, bus 1240 may support communications for protocol layers (e.g., within a protocol layer) of a protocol stack. In some examples, bus 1240 may support communications associated with logical channels of a protocol stack (e.g., between protocol layers of a protocol stack), which may include communications performed within components of device 1205, or communications performed between different components of device 1205, which may be co-located or located in different locations (e.g., where device 1205 may refer to a system in which one or more of communication manager 1220, transceiver 1210, memory 1225, code 1230, and processor 1235 may be located in one of the different components or divided between the different components).

[0205] In some examples, communication manager 1220 can manage aspects of communications with core network 130 (e.g., via one or more wired or wireless backhaul links). For example, communication manager 1220 can manage the transfer of data communications for client devices, such as one or more UEs 115. In some examples, communication manager 1220 can manage communications with other network entities 105 and can include a controller or scheduler for controlling communications with UEs 115 in coordination with other network entities 105. In some examples, communication manager 1220 can support an X2 interface within LTE / LTE-A wireless communication network technology to provide communications between network entities 105.

[0206] According to examples disclosed herein, the communication manager 1220 can support wireless communications at a network entity (e.g., device 1205). For example, the communication manager 1220 can be configured as or otherwise support means for outputting, via a cell, first signaling indicating at least a resource utilization status associated with the cell. The communication manager 1220 can be configured as or otherwise support means for obtaining, via the cell, second signaling indicating a first modification to a first compression scheme for compressing first CSI associated with a first layer for wireless communications via the cell, the first modification being based on the resource utilization status.

[0207] By including or configuring a communications manager 1220 according to examples as described herein, the device 1205 can support techniques for improving communications reliability, reducing latency, and more efficiently utilizing communications resources.

[0208] In some examples, the communication manager 1220 can be configured to perform various operations (e.g., receive, acquire, monitor, output, transmit) using or otherwise coordinating with the transceiver 1210, one or more antennas 1215 (e.g., where applicable), or any combination thereof. Although the communication manager 1220 is illustrated as a separate component, in some examples, one or more functions described with reference to the communication manager 1220 can be supported or performed by the transceiver 1210, the processor 1235, the memory 1225, the code 1230, or any combination thereof. For example, the code 1230 can include instructions that are executable by the processor 1235 to cause the device 1205 to perform various aspects of layer-specific accuracy for CSF as described herein, or the processor 1235 and the memory 1225 can be otherwise configured to perform or support such operations.

[0209] Figure 13 A flow chart illustrating a method 1300 for supporting layer-specific accuracy for a CSF according to one or more aspects of the present disclosure is illustrated. The operations of the method 1300 may be implemented by a UE or components thereof as described herein. For example, the operations of the method 1300 may be implemented by a UE or components thereof as described herein. Figures 1 to 8 The described functions may be performed by the UE 115. In some examples, the UE may execute an instruction set to control the functional elements of the UE to perform the described functions. Additionally or alternatively, the UE may use dedicated hardware to perform various aspects of the described functions.

[0210] At 1305, the method may include receiving first signaling from a network entity via a cell, the first signaling indicating a resource utilization state associated with at least the cell. The operations of 1305 may be performed according to examples as disclosed herein. In some examples, aspects of the operations of 1305 may be performed as described in reference to Figure 7 The described resources are executed using component 725 .

[0211] At 1310, the method may include modifying a first compression scheme for compressing first CSI associated with a first layer for wireless communication between a UE and a network entity via a cell based on a resource utilization status. The operations of 1310 may be performed according to examples disclosed herein. In some examples, aspects of the operations of 1310 may be performed by a compression scheme component 730 as described in reference 7.

[0212] Figure 14 A flow chart illustrating a method 1400 for supporting layer-specific accuracy for a CSF according to one or more aspects of the present disclosure is illustrated. The operations of the method 1400 may be implemented by a UE or components thereof as described herein. For example, the operations of the method 1400 may be implemented by a UE or components thereof as described herein. Figures 1 to 8The described functions may be performed by the UE 115. In some examples, the UE may execute an instruction set to control the functional elements of the UE to perform the described functions. Additionally or alternatively, the UE may use dedicated hardware to perform various aspects of the described functions.

[0213] At 1405, the method may include receiving first signaling from a network entity via a cell, the first signaling indicating a resource utilization state associated with at least the cell. The operations of 1405 may be performed according to examples disclosed herein. In some examples, aspects of the operations of 1405 may be performed as described in reference to Figure 7 The described resources are executed using component 725 .

[0214] At 1410, the method may include modifying a first compression scheme for compressing first CSI associated with a first layer for wireless communication between a UE and a network entity via a cell based on a resource utilization status. The operations of 1410 may be performed according to examples as disclosed herein. In some examples, aspects of the operations of 1410 may be performed by a compression scheme component 730 as described in reference 7.

[0215] At 1415, the method may include receiving second signaling from a network entity via the cell, wherein the second signaling indicates resource allocation for sending a CSF message to the network entity, and wherein the resource allocation is based on the resource utilization state. The operations of 1415 may be performed according to examples as disclosed herein. In some examples, aspects of the operations of 1415 may be performed as described in reference to Figure 7 The resource allocation component 735 described is executed.

[0216] Figure 15 A flowchart illustrating a method 1500 for supporting layer-specific accuracy for a CSF according to one or more aspects of the present disclosure is illustrated. The operations of the method 1500 may be implemented by a network entity or component thereof as described herein. For example, the operations of the method 1500 may be implemented by a network entity or component thereof as described herein. Figures 1 to 4 as well as Figures 9 to 12 In some examples, the network entity may execute an instruction set to control the functional elements of the network entity to perform the described functions. Additionally or alternatively, the network entity may use dedicated hardware to perform various aspects of the described functions.

[0217] At 1505, the method may include outputting, via the cell, first signaling indicating at least a resource utilization state associated with the cell. The operations of 1505 may be performed according to examples disclosed herein. In some examples, aspects of the operations of 1505 may be performed as described in reference to Figure 11 The described resource utilization directs component 1125 to execute.

[0218] At 1510, the method may include obtaining, via the cell, second signaling indicating a first modification to a first compression scheme for compressing first CSI associated with a first layer for wireless communication via the cell, the first modification being based on a resource utilization state. The operations of 1510 may be performed according to examples as disclosed herein. In some examples, aspects of the operations of 1510 may be performed by compression scheme indicating component 1130 as described in reference 11.

[0219] Figure 16 A flow chart illustrating a method 1600 for supporting layer-specific accuracy for a CSF according to one or more aspects of the present disclosure is illustrated. The operations of the method 1600 may be implemented by a network entity or component thereof as described herein. For example, the operations of the method 1600 may be implemented by a network entity or component thereof as described herein. Figures 1 to 4 as well as Figures 9 to 12 In some examples, the network entity may execute an instruction set to control the functional elements of the network entity to perform the described functions. Additionally or alternatively, the network entity may use dedicated hardware to perform various aspects of the described functions.

[0220] At 1605, the method may include outputting, via the cell, first signaling indicating at least a resource utilization state associated with the cell. The operations of 1605 may be performed according to examples disclosed herein. In some examples, aspects of the operations of 1605 may be performed as described in reference to Figure 11 The described resource utilization directs component 1125 to execute.

[0221] At 1610, the method may include obtaining, via the cell, second signaling indicating a first modification to a first compression scheme for compressing first CSI associated with a first layer for wireless communication via the cell, the first modification being based on a resource utilization state. The operations of 1610 may be performed according to examples disclosed herein. In some examples, aspects of the operations of 1610 may be performed by compression scheme indicating component 1130 as described in reference 11.

[0222] At 1615, the method may include outputting third signaling indicating a resource allocation for sending the CSF message to the network entity, wherein the resource allocation is based on the resource utilization state. The operations of 1615 may be performed according to examples disclosed herein. In some examples, aspects of the operations of 1615 may be implemented as described in reference to Figure 11 The resource allocation is described as instructing component 1135 to perform.

[0223] The following provides an overview of various aspects of the disclosure:

[0224] Aspect 1: A method for wireless communication at a UE, the method comprising: receiving first signaling from a network entity via a cell, the first signaling indicating a resource utilization status associated with at least the cell; and modifying a first compression scheme based on the resource utilization status, the first compression scheme being used to compress first CSI associated with a first layer used for wireless communication between the UE and the network entity via the cell.

[0225] Aspect 2: According to the method of Aspect 1, the method also includes: receiving second signaling from the network entity via the cell, wherein the second signaling indicates resource allocation for sending a CSF message to the network entity, and wherein the resource allocation is at least partially based on the resource utilization status.

[0226] Aspect 3: The method according to Aspect 2 further includes: using the resource allocation to send the CSF message to the network entity, wherein the CSF message indicates compression of the first CSI, and wherein the accuracy associated with the compression is at least partially based on modifying the first compression scheme.

[0227] Aspect 4: According to the method of any one of Aspects 1 to 3, the method also includes: receiving second signaling from the network entity via the cell, wherein the second signaling identifies a neural network to be used with the first compression scheme, and wherein the neural network is associated with the resource utilization state.

[0228] Aspect 5: The method according to aspect 4, wherein modifying the first compression scheme according to the resource utilization status includes: modifying the first compression scheme to include using the neural network to compress the first CSI.

[0229] Aspect 6: According to the method according to any one of aspects 1 to 5, the method further includes: sending second signaling to the network entity, the second signaling indicating that the UE has modified the first compression scheme, the duration during which the UE modified the first compression scheme, or both.

[0230] Aspect 7: The method according to aspect 6, wherein the second signaling further indicates the neural network associated with the first compression scheme, the first layer, or both.

[0231] Aspect 8: According to any one of Aspects 1 to 7, the method further includes: receiving second signaling from the network entity, the second signaling indicating a first rank associated with wireless communication between the UE and the network entity via the cell, wherein modifying the first compression scheme is at least partially based on the first rank, and wherein the first rank is different from the second rank requested by the UE for wireless communication between the UE and the network entity.

[0232] Aspect 9: According to the method of Aspect 8, the method also includes: sending third signaling to the network entity in response to receiving the second signaling, the third signaling indicating a request to use a third rank to perform wireless communication between the UE and the network entity via the cell, wherein the third rank is at least partially based on the first rank.

[0233] Aspect 10: According to any one of Aspects 1 to 9, the method further includes: modifying a second compression scheme according to the resource utilization status, wherein the second compression scheme is used to compress a second CSI associated with a second layer used for wireless communication between the UE and the network entity via the cell, and wherein the first layer is associated with a first layer index and the second layer is associated with a second layer index greater than the first layer index.

[0234] Aspect 11: The method of aspect 10, wherein the first compression scheme is modified to compress the first CSI using a first number of bits, and the second compression scheme is modified to compress the second CSI using a second number of bits, and the first number of bits is greater than the second number of bits.

[0235] Aspect 12: The method of aspect 11, wherein a first accuracy associated with compressing the first CSI is greater than a second accuracy associated with compressing the second CSI based at least in part on the first number of bits being greater than the second number of bits.

[0236] Aspect 13: The method of aspect 10, wherein the first compression scheme is modified to compress the first CSI using a first number of bits, and the second compression scheme is modified to compress the second CSI using a second number of bits, and the first number of bits is less than the second number of bits.

[0237] Aspect 14: The method of aspect 13, wherein a first accuracy associated with compression of the first CSI and a second accuracy associated with compression of the second CSI satisfy a threshold based at least in part on the first number of bits being less than the second number of bits.

[0238] Aspect 15: A method for wireless communication at a network entity, the method comprising: outputting first signaling via a cell, the first signaling indicating a resource utilization status associated at least with the cell; and obtaining second signaling via the cell, the second signaling indicating a first modification to a first compression scheme for compressing a first CSI associated with a first layer for wireless communication via the cell, the first modification being based at least in part on the resource utilization status.

[0239] Aspect 16: The method according to aspect 15, further comprising: outputting third signaling, the third signaling indicating resource allocation for sending a CSF message to the network entity, wherein the resource allocation is based at least in part on the resource utilization status.

[0240] Aspect 17: The method of aspect 16, further comprising: obtaining the CSF message using the resource allocation, wherein the CSF message indicates compression of the first CSI, and wherein an accuracy associated with the compression is based at least in part on the first modification.

[0241] Aspect 18: The method according to any one of aspects 15 to 17 further comprises: outputting third signaling via the cell, the third signaling identifying a neural network to be used with the first compression scheme, wherein the neural network is associated with the resource utilization state.

[0242] Aspect 19: A method according to any one of aspects 15 to 18, wherein the second signaling further indicates a duration during which the first modification to the first compression scheme occurs, a neural network associated with the first compression scheme, the first layer, or any combination thereof.

[0243] Aspect 20: The method according to any one of aspects 15 to 19, further comprising: outputting third signaling indicating a first rank associated with wireless communication via the cell, wherein the first modification is based at least in part on the first rank.

[0244] Aspect 21: The method according to Aspect 20 further includes: obtaining fourth signaling in response to outputting the third signaling, wherein the fourth signaling indicates a request to use a second rank for wireless communication via the cell, and wherein the second rank is at least partially based on the first rank.

[0245] Aspect 22: A method according to any one of Aspects 15 to 21, wherein the second signaling further indicates a second modification of a second compression scheme for compressing second CSI associated with a second layer for wireless communication via the cell, and the second modification is at least partially based on the resource utilization state.

[0246] Aspect 23: A method according to aspect 22, wherein the first modification flag is used to compress a first number of bits of the first CSI, and the second modification flag is used to compress a second number of bits of the second CSI, and the first number of bits is greater than the second number of bits.

[0247] Aspect 24: The method of aspect 23, wherein a first accuracy associated with compressing the first CSI is greater than a second accuracy associated with compressing the second CSI based at least in part on the first number of bits being greater than the second number of bits.

[0248] Aspect 25: A method according to aspect 22, wherein the first modification flag is used to compress a first number of bits of the first CSI, and the second modification flag is used to compress a second number of bits of the second CSI, and the first number of bits is less than the second number of bits.

[0249] Aspect 26: The method of aspect 25, wherein a first accuracy associated with compression of the first CSI and a second accuracy associated with compression of the second CSI satisfy a threshold based at least in part on the first number of bits being less than the second number of bits.

[0250] Aspect 27: According to any one of Aspects 15 to 26, the method also includes: determining the resource utilization state at least in part based on the uplink resource block usage associated with at least the cell, the downlink resource block usage associated with at least the cell, or both.

[0251] Aspect 28: A UE comprising: a processor; a memory coupled to the processor; and instructions stored in the memory and executable by the processor to cause the UE to perform the method according to any one of aspects 1 to 14.

[0252] Aspect 29: A UE comprising at least one component for performing the method according to any one of aspects 1 to 14.

[0253] Aspect 30: A non-transitory computer-readable medium storing code for wireless communication, the code comprising instructions executable by a processor to perform the method according to any one of aspects 1 to 14.

[0254] Aspect 31: A network entity, comprising: a processor; a memory coupled to the processor; and instructions stored in the memory and executable by the processor to cause the network entity to perform a method according to any one of aspects 15 to 27.

[0255] Aspect 32: A network entity comprising at least one component for performing the method according to any one of aspects 15 to 27.

[0256] Aspect 33: A non-transitory computer-readable medium storing code for wireless communication at a network entity, the code comprising instructions executable by a processor to perform the method according to any one of aspects 15 to 27.

[0257] It should be noted that the methods described herein describe possible implementations, and that the operations and steps may be rearranged or otherwise modified and that other implementations are possible. Furthermore, aspects from two or more methods may be combined.

[0258] Although aspects of LTE, LTE-A, LTE-A Pro, or NR systems may be described for example purposes, and the terminology of LTE, LTE-A, LTE-A Pro, or NR may be used throughout much of the description, the techniques described herein may also be applicable to networks other than LTE, LTE-A, LTE-A Pro, or NR networks. For example, the techniques described may be applicable to various other wireless communication systems, such as Ultra Mobile Broadband (UMB), Institute of Electrical and Electronics Engineers (IEEE) 802.11 (Wi-Fi), IEEE 802.16 (WiMAX), IEEE 802.20, Flash-OFDM, and other systems and radio technologies not explicitly mentioned herein.

[0259] The information and signals described herein may be represented using any of a variety of different technologies and techniques. For example, data, instructions, commands, information, signals, bits, symbols, and chips referred to throughout the specification may be represented by voltages, currents, electromagnetic waves, magnetic fields or particles, optical fields or particles, or any combination thereof.

[0260] The various illustrative blocks and components described in conjunction with the disclosure herein may be implemented or executed using a general purpose processor, a DSP, an ASIC, a CPU, an FPGA or other programmable logic device, discrete gate or transistor logic components, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general purpose processor may be a microprocessor, but in the alternative, the processor may be any processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices (e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors combined with a DSP core, or any other such configuration).

[0261] The functions described herein may be implemented using hardware, software executed by a processor, firmware, or any combination thereof. If implemented using software executed by a processor, the functions may be stored as one or more instructions or codes of a computer-readable medium, or sent using one or more instructions or codes of a computer-readable medium. Other examples and implementations are within the scope of this disclosure and the appended claims. For example, due to the nature of software, the functions described herein may be implemented using software executed by a processor, hardware, firmware, hard wiring, or a combination of any of these. Features that implement the functions may also be physically located at different locations, including being distributed so that various parts of the functions are implemented at different physical locations.

[0262] Computer-readable media includes both non-transitory computer storage media and communication media, including any media that facilitates the transfer of computer programs from one location to another. Non-transitory storage media can be any available media that can be accessed by a general-purpose or special-purpose computer. By way of example and not limitation, non-transitory computer-readable media can include RAM, ROM, electrically erasable programmable ROM (EEPROM), flash memory, compact disc (CD) ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other non-transitory media that can be used to carry or store desired program code components in the form of instructions or data structures and that can be accessed by a general-purpose or special-purpose computer or a general-purpose or special-purpose processor. In addition, any connection is appropriately referred to as a computer-readable medium. For example, if software is transmitted from a website, server, or other remote source using a coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL), or wireless technologies such as infrared, radio, and microwaves, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwaves are included within the definition of computer-readable media. As used herein, disk and disc include CDs, laser discs, optical discs, digital versatile discs (DVDs), floppy disks, and Blu-ray discs. Disks can reproduce data magnetically, and discs can reproduce data optically using lasers. Combinations of the above are also included within the scope of computer-readable media.

[0263] As used herein (including in the claims), "or" used in a list of items (e.g., a list of items followed by a phrase such as "at least one of" or "one or more of") indicates an inclusive list, so that, for example, a list of at least one of A, B, or C means A or B or C or AB or AC or BC or ABC (i.e., A and B and C). In addition, as used herein, the phrase "based on" should not be interpreted as a reference to a closed set of conditions. For example, an example step described as "based on condition A" can be based on both condition A and condition B without departing from the scope of this disclosure. In other words, as used herein, the phrase "based on" should be interpreted in the same manner as the phrase "based at least in part on."

[0264] The term "determining" encompasses a variety of actions, and thus, "determining" may include calculating, computing, processing, deriving, investigating, looking up (such as via looking up in a table, database, or other data structure), ascertaining, etc. Furthermore, "determining" may include receiving (e.g., receiving information), accessing (e.g., accessing data stored in a memory), etc. Furthermore, "determining" may include resolving, retrieving, selecting, choosing, establishing, and other such similar actions.

[0265] In the drawings, similar components or features may have the same reference label. In addition, various components of the same type may be distinguished by following the reference label with a dash and a second label to distinguish between similar components. If only the first reference label is used in the specification, the description can apply to any of the similar components having the same first reference label, regardless of the second reference label or other subsequent reference labels.

[0266] The description set forth herein in conjunction with the accompanying drawings describes example configurations and does not represent all examples that may be implemented or within the scope of the claims. The term "example" as used herein means "serving as an example, instance, or illustration," rather than "preferred" or "having advantages over other examples." The detailed description includes specific details to provide an understanding of the described techniques. However, these techniques can be practiced without these specific details. In some cases, known structures and devices are shown in block diagram form to avoid obscuring the concepts of the described examples.

[0267] The description herein is provided to enable one of ordinary skill in the art to make or use the present disclosure. Various modifications to the present disclosure will be apparent to those of ordinary skill in the art, and the general principles defined herein may be applied to other variations without departing from the scope of the present disclosure. Thus, the present disclosure is not limited to the examples and designs described herein, but should be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A user equipment (UE), comprising: processor; a memory coupled to the processor; and instructions stored in the memory and executable by the processor to cause the UE to: receiving, via a cell, first signaling from a network entity, the first signaling indicating a resource utilization status associated with at least the cell; as well as A first compression scheme for compressing first channel state information associated with a first layer for wireless communication between the UE and the network entity via the cell is modified according to the resource utilization status.

2. The UE of claim 1 , wherein the instructions are further executable by the processor to cause the UE to: Second signaling is received from the network entity via the cell, wherein the second signaling indicates resource allocation for sending a channel state feedback message to the network entity, and wherein the resource allocation is based at least in part on the resource utilization status.

3. The UE of claim 2, wherein the instructions are further executable by the processor to cause the UE to: The channel state feedback message is sent to the network entity using the resource allocation, wherein the channel state feedback message indicates compression of the first channel state information, and wherein an accuracy associated with the compression is based at least in part on modifying the first compression scheme.

4. The UE of claim 1 , wherein the instructions are further executable by the processor to cause the UE to: Second signaling is received from the network entity via the cell, wherein the second signaling identifies a neural network to be used with the first compression scheme, and wherein the neural network is associated with the resource utilization state.

5. The UE of claim 4 , wherein the instructions for modifying the first compression scheme according to the resource utilization status are executable by the processor to cause the UE to: The first compression scheme is modified to include compressing the first channel state information using the neural network.

6. The UE of claim 1 , wherein the instructions are further executable by the processor to cause the UE to: Second signaling is sent to the network entity, the second signaling indicating that the UE modified the first compression scheme, a duration during which the UE modified the first compression scheme, or both.

7. The UE of claim 6, wherein the second signaling further indicates a neural network, the first layer, or both associated with the first compression scheme.

8. The UE of claim 1 , wherein the instructions are further executable by the processor to cause the UE to: Second signaling is received from the network entity, the second signaling indicating a first rank associated with wireless communication between the UE and the network entity via the cell, wherein modifying the first compression scheme is based at least in part on the first rank, and wherein the first rank is different from a second rank requested by the UE for wireless communication between the UE and the network entity.

9. The UE of claim 8, wherein the instructions are further executable by the processor to cause the UE to: In response to receiving the second signaling, third signaling is sent to the network entity, the third signaling indicating a request to use a third rank for wireless communication between the UE and the network entity via the cell, wherein the third rank is based at least in part on the first rank.

10. The UE of claim 1 , wherein the instructions are further executable by the processor to cause the UE to: A second compression scheme is modified according to the resource utilization status, wherein the second compression scheme is used to compress second channel state information associated with a second layer used for wireless communication between the UE and the network entity via the cell, and wherein the first layer is associated with a first layer index and the second layer is associated with a second layer index that is greater than the first layer index.

11. The UE of claim 10, wherein the first compression scheme is modified to compress the first channel state information using a first number of bits, and the second compression scheme is modified to compress the second channel state information using a second number of bits, and wherein the first number of bits is greater than the second number of bits.

12. The UE of claim 11, wherein a first accuracy associated with compression of the first channel state information is greater than a second accuracy associated with compression of the second channel state information based at least in part on the first number of bits being greater than the second number of bits.

13. The UE of claim 10, wherein the first compression scheme is modified to compress the first channel state information using a first number of bits, and the second compression scheme is modified to compress the second channel state information using a second number of bits, and wherein the first number of bits is less than the second number of bits.

14. The UE of claim 13, wherein a first accuracy associated with compression of the first channel state information and a second accuracy associated with compression of the second channel state information meet a threshold based at least in part on the first number of bits being less than the second number of bits.

15. A network entity, comprising: processor; a memory coupled to the processor; and instructions stored in the memory and executable by the processor to cause the network entity to: outputting, via a cell, first signaling, the first signaling indicating a resource utilization status associated with at least the cell; as well as Second signaling is obtained via the cell, the second signaling indicating a first modification to a first compression scheme for compressing first channel state information associated with a first layer for wireless communication via the cell, the first modification being based at least in part on the resource utilization status.

16. The network entity of claim 15, wherein the instructions are further executable by the processor to cause the network entity to: Outputting third signaling, the third signaling indicating resource allocation for sending a channel state feedback message to the network entity, wherein the resource allocation is based at least in part on the resource utilization status.

17. The network entity of claim 16, wherein the instructions are further executable by the processor to cause the network entity to: The channel state feedback message is obtained using the resource allocation, wherein the channel state feedback message indicates compression of the first channel state information, and wherein an accuracy associated with the compression is based at least in part on the first modification.

18. The network entity of claim 15, wherein the instructions are further executable by the processor to cause the network entity to: Third signaling is output via the cell, the third signaling identifying a neural network to be used with the first compression scheme, wherein the neural network is associated with the resource utilization state.

19. The network entity of claim 15, wherein the second signaling further indicates a duration during which the first modification to the first compression scheme occurs, a neural network associated with the first compression scheme, the first layer, or any combination thereof.

20. The network entity of claim 15, wherein the instructions are further executable by the processor to cause the network entity to: Third signaling is output, the third signaling indicating a first rank associated with wireless communication via the cell, wherein the first modification is based at least in part on the first rank.

21. The network entity of claim 20, wherein the instructions are further executable by the processor to cause the network entity to: Fourth signaling is obtained in response to outputting the third signaling, wherein the fourth signaling indicates a request to use a second rank for wireless communication via the cell, and wherein the second rank is based at least in part on the first rank.

22. The network entity of claim 15, wherein the second signaling further indicates a second modification to a second compression scheme for compressing second channel state information associated with a second layer for wireless communication via the cell, and wherein the second modification is based at least in part on the resource utilization status.

23. A network entity according to claim 22, wherein the first modification identifier is used to compress a first number of bits of the first channel state information, and the second modification identifier is used to compress a second number of bits of the second channel state information, and the first number of bits is greater than the second number of bits.

24. The network entity of claim 23, wherein a first accuracy associated with compression of the first channel state information is greater than a second accuracy associated with compression of the second channel state information based at least in part on the first number of bits being greater than the second number of bits.

25. The network entity of claim 22, wherein the first modification identifier is used to compress a first number of bits of the first channel state information, and the second modification identifier is used to compress a second number of bits of the second channel state information, and wherein the first number of bits is less than the second number of bits.

26. The network entity of claim 25, wherein a first accuracy associated with compression of the first channel state information and a second accuracy associated with compression of the second channel state information meet a threshold based at least in part on the first number of bits being less than the second number of bits.

27. The network entity of claim 15, wherein the instructions are further executable by the processor to cause the network entity to: The resource utilization state is determined based at least in part on uplink resource block usage associated with at least the cell, downlink resource block usage associated with at least the cell, or both.

28. A method for wireless communication at a user equipment (UE), the method comprising: receiving, via a cell, first signaling from a network entity, the first signaling indicating a resource utilization status associated with at least the cell; as well as A first compression scheme for compressing first channel state information associated with a first layer for wireless communication between the UE and the network entity via the cell is modified according to the resource utilization status.

29. The method according to claim 28, further comprising: Second signaling is received from the network entity via the cell, wherein the second signaling indicates resource allocation for sending a channel state feedback message to the network entity, and wherein the resource allocation is based at least in part on the resource utilization status.

30. A method for wireless communication at a network entity, the method comprising: outputting, via a cell, first signaling, the first signaling indicating a resource utilization status associated with at least the cell; as well as Second signaling is obtained via the cell, the second signaling indicating a first modification to a first compression scheme for compressing first channel state information associated with a first layer for wireless communication via the cell, the first modification being based at least in part on the resource utilization status.

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