Closed-loop intelligent control transmission (CLICT) and enhancements with distributed source coding

Abstract

Methods, systems, and devices for wireless communication are described. A user equipment (UE) and a network entity may support communications with compressed channel state information (CSI) feedback. The UE and the network entity may use closed loop feedback to improve beamforming tracking accuracy. For example, the UE may receive a CSI reference signal (CSI-RS), which is beamformed based on a channel estimate of a sounding reference signal (SRS) or a previous CSI feedback, or both. The UE may transmit a feedback message that includes a compressed CSI generated by encoding a measurement of the CSI-RS. The compressed CSI may be generated based on a predicted channel estimate at the network entity, the predicted channel estimate being determined based on the channel estimate of the SRS or the previous CSI feedback.

Description

[0001] Cross-references

[0002] This patent application claims priority to U.S. patent application No. 17 / 846,981, filed by Jiang et al. on June 22, 2022, entitled “CLOSED-LOOP INTELLIGENT CONTROLLED TRANSMISSION (CLICT) AND ENHANCEMENT WITH DISTRIBUTED SOURCE CODING,” which is assigned to the assignee of this application and is expressly incorporated herein by reference. Technical Field

[0003] The following relates to wireless communications including closed loop intelligent controlled transmission (CLICT) and enhancements utilizing distributed source decoding. Background Art

[0004] Wireless communication systems are widely deployed to provide various types of communication content, such as voice, video, packet data, messaging, broadcast, etc. These systems may be able to support 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, advanced LTE (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 use 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). A wireless multiple access communication system may include one or more base stations, each of which supports wireless communication for a communication device, which may be referred to as a user equipment (UE). Summary of the invention

[0005] The described techniques relate to improved methods, systems, devices, and apparatuses that support performing closed loop intelligent control transmission (CLICT) and utilizing enhancements of distributed source decoding to improve beamforming quality while also reducing overhead signaling. In general, the described techniques support signaling feedback messages to at least partially recover channel state information (CSI) reference signal (CSI-RS) measurements estimated by a user equipment (UE). The UE may obtain CSI (e.g., characteristics of a channel) and estimate the channel based on channel measurements of a CSI-RS sent by a network entity. Additionally or alternatively, the network entity may obtain CSI specific to the UE and estimate the channel based on channel measurements of a sounding reference signal (SRS) sent by the UE. In some examples, the network entity may beamform the CSI-RS using the channel measurements of the SRS. For example, the UE may send the SRS to the network entity, the network entity may beamform or precode the CSI-RS based on the channel estimate of the SRS, and the UE may receive the beamformed CSI-RS.

[0006] Although the network entity may recover some information about the CSI measured by the UE based on the network entity's measurement of the SRS, the precision and accuracy of the CSI measured by the UE recovered by the network entity may be improved if the channel measurement made by the UE is considered when recovering the CSI measured by the UE. In some aspects, the UE may generate compressed CSI (e.g., reduced CSI) based on encoding the measurement of the CSI-RS, and the UE may send a feedback message including the compressed CSI. That is, the UE may perform channel measurement on the CSI-RS received from the network entity to obtain the CSI observed from the perspective of the UE, and the UE may share a portion of the CSI measured by the UE with the network entity. In some other aspects, the UE may receive an indication of a predicted CSI-RS estimate for the UE, and the UE may send a feedback message indicating a difference between the predicted CSI-RS estimate and the CSI-RS estimate observed by the UE. By receiving the compressed CSI or the difference between the predicted CSI-RS estimate and the CSI-RS estimate observed by the UE, the network entity can recover a more accurate estimate of the CSI-RS observed by the UE, which helps to improve the communication quality and power efficiency of wireless communications.

[0007] A method for wireless communication at a UE is described. The method may include: receiving a CSI-RS from a network entity, the CSI-RS being beamformed based on: a channel estimate of an SRS sent from the UE, or previous CSI feedback sent from the UE based on previous CSI-RS, or both; and sending a feedback message including compressed CSI generated based on encoding a measurement of the CSI-RS.

[0008] An apparatus for wireless communication at a UE is described. The apparatus may include a processor, a memory coupled to the processor, and instructions stored in the memory. The instructions are executable by the processor to cause the apparatus to perform the following actions: receive a CSI-RS from a network entity, the CSI-RS being beamformed based on: a channel estimate of an SRS sent from the UE, or a previous CSI feedback sent from the UE based on a previous CSI-RS, or both; and send a feedback message including compressed CSI generated based on encoding a measurement of the CSI-RS.

[0009] Another apparatus for wireless communication at a UE is described. The apparatus may include: means for receiving a CSI-RS from a network entity, the CSI-RS being beamformed based on: a channel estimate of an SRS sent from the UE, or previous CSI feedback sent from the UE based on previous CSI-RS, or both; and means for sending a feedback message including compressed CSI generated based on encoding a measurement of the CSI-RS.

[0010] A non-transitory computer-readable medium storing code for wireless communication at a UE is described. The code may include instructions capable of being used by a processor to perform the following actions: receiving a CSI-RS from a network entity, the CSI-RS being beamformed based on: a channel estimate of an SRS sent from the UE, or previous CSI feedback sent from the UE based on previous CSI-RS, or both; and sending a feedback message including compressed CSI generated based on encoding a measurement of the CSI-RS.

[0011] In some examples of the methods, apparatus, and non-transitory computer-readable media described herein, sending the feedback message may include operations, features, components, or instructions for the following actions: sending the feedback message including the compressed CSI, wherein the granularity or amount of feedback in the compressed CSI may be based on a statistical dependence between the predicted CSI-RS estimate at the network entity and the measurement of the CSI-RS.

[0012] Some examples of the methods, apparatus, and non-transitory computer-readable media described herein may further include operations, features, components, or instructions for receiving, from the network entity, an indication of the granularity, amount, or both of the feedback in the compressed CSI, wherein the CSI compression rate may be based on the relevance of the CSI to the SRS, the quality of the CSI-RS, the capacity of a feedback channel containing the feedback message, or a combination thereof.

[0013] Some examples of the methods, apparatus, and non-transitory computer-readable media described herein may further include operations, features, components, or instructions for receiving downlink data that may be beamformed based on the channel estimate based on the SRS and the CSI generated by the compressed CSI, wherein the downlink data may be assumed to be quasi-co-located with the feedback message.

[0014] Some examples of the methods, apparatus, and non-transitory computer readable media described herein may further include operations, features, means, or instructions for sending a message indicating the ability to encode CSI-RS measurements.

[0015] In some examples of the methods, apparatus, and non-transitory computer-readable media described herein, sending the feedback message may include operations, features, components, or instructions for the following actions: sending the feedback message in a frequency band different from a frequency band in which the CSI-RS can be received.

[0016] Some examples of the methods, apparatus, and non-transitory computer-readable media described herein may further include operations, features, components, or instructions for: receiving a grant for scheduling downlink data, wherein a downlink control channel carrying the grant may be quasi-co-located with the previous CSI-RS, the predicted CSI-RS estimate, or both; and monitoring the downlink data, which may be beamformed based on CSI generated from the channel estimate of the SRS and the compressed CSI.

[0017] In some examples of the methods, apparatus, and non-transitory computer-readable media described herein, encoding the measurement of the CSI-RS may include operations, features, components, or instructions for applying a coding scheme to the measurement of the CSI-RS to generate the compressed CSI based on a hypothesized predicted CSI-RS estimate at the network entity.

[0018] In some examples of the methods, apparatus, and non-transitory computer-readable media described herein, the encoding scheme may be a syndrome-based encoding scheme.

[0019] Some examples of the methods, apparatus, and non-transitory computer-readable media described herein may further include operations, features, components, or instructions for the following actions: receiving control signaling indicating a coding scheme for encoding the measurement of the CSI-RS at a corresponding compression granularity, a corresponding data rate, or both for use in the feedback message.

[0020] In some examples of the methods, apparatus, and non-transitory computer-readable media described herein, the compressed CSI and the channel estimate of the SRS each include different portions of information associated with the estimated channel observed at the UE.

[0021] A method for wireless communication at a network entity is described. The method may include: sending a CSI-RS to a UE, the CSI-RS being beamformed based on: a channel estimate of an SRS received from the UE, or previous CSI feedback received from the UE based on previous CSI-RS, or both; and receiving a feedback message including compressed CSI generated based on encoding a measurement of the CSI-RS by the UE.

[0022] An apparatus for wireless communication at a network entity is described. The apparatus may include a processor, a memory coupled to the processor, and instructions stored in the memory. The instructions are executable by the processor to cause the apparatus to perform the following actions: send a CSI-RS to a UE, the CSI-RS being beamformed based on: a channel estimate of an SRS received from the UE, or previous CSI feedback received from the UE based on previous CSI-RS, or both; and receive a feedback message including compressed CSI generated based on encoding a measurement of the CSI-RS by the UE.

[0023] Another apparatus for wireless communication at a network entity is described. The apparatus may include: means for sending a CSI-RS to a UE, the CSI-RS being beamformed based on: a channel estimate of an SRS received from the UE, or previous CSI feedback received from the UE based on previous CSI-RS, or both; and means for receiving a feedback message including compressed CSI generated based on encoding a measurement of the CSI-RS by the UE.

[0024] A non-transitory computer-readable medium storing code for wireless communication at a network entity is described. The code may include instructions capable of being used by a processor to perform the following actions: sending a CSI-RS to a UE, the CSI-RS being beamformed based on: a channel estimate of an SRS received from the UE, or previous CSI feedback received from the UE based on previous CSI-RS, or both; and receiving a feedback message including compressed CSI generated based on encoding a measurement of the CSI-RS by the UE.

[0025] In some examples of the methods, apparatus, and non-transitory computer-readable media described herein, receiving the feedback message may include operations, features, components, or instructions for the following actions: receiving the feedback message including the compressed CSI, wherein the granularity or amount of feedback in the compressed CSI may be based on a statistical dependency between the predicted CSI-RS estimate at the network entity and the measurement of the CSI-RS.

[0026] Some examples of the methods, apparatus, and non-transitory computer-readable media described herein may further include operations, features, components, or instructions for sending downlink data that may be beamformed based on the CSI generated based on the channel estimate of the SRS and the compressed CSI.

[0027] Some examples of the methods, apparatus, and non-transitory computer-readable media described herein may further include operations, features, components, or instructions for sending a grant for scheduling downlink data, the downlink data including the downlink data that can be beamformed based on the channel estimate based on the SRS and the CSI generated by the compressed CSI.

[0028] Some examples of the methods, apparatus, and non-transitory computer-readable media described herein may further include operations, features, components, or instructions for: receiving a message indicating an ability to encode CSI-RS measurements; and determining a feedback operation mode for the UE based on the message.

[0029] In some examples of the methods, apparatus, and non-transitory computer-readable media described herein, receiving the feedback message may include operations, features, components, or instructions for the following actions: receiving the feedback message in a frequency band different from a frequency band in which the CSI-RS may be transmitted.

[0030] In some examples of the methods, apparatus, and non-transitory computer-readable media described herein, receiving the feedback message including compressed CSI may include operations, features, components, or instructions for the following actions: decoding the compressed CSI based on a decoding scheme to decode the measurement of the CSI-RS.

[0031] A method for wireless communication at a UE is described. The method may include: sending an SRS to a network entity; receiving a CSI-RS from the network entity, the CSI-RS being beamformed based on a channel estimate generated from the SRS; receiving an indication of a predicted CSI-RS estimate for the UE from the network entity; and sending a feedback message indicating a difference between the predicted CSI-RS estimate and a CSI-RS estimate observed by the UE.

[0032] An apparatus for wireless communication at a UE is described. The apparatus may include a processor, a memory coupled to the processor, and instructions stored in the memory. The instructions are executable by the processor to cause the apparatus to perform the following actions: send an SRS to a network entity; receive a CSI-RS from the network entity, the CSI-RS being beamformed based on a channel estimate generated from the SRS; receive an indication of a predicted CSI-RS estimate for the UE from the network entity; and send a feedback message indicating a difference between the predicted CSI-RS estimate and a CSI-RS estimate observed by the UE.

[0033] Another apparatus for wireless communication at a UE is described. The apparatus may include: means for sending an SRS to a network entity; means for receiving a CSI-RS from the network entity, the CSI-RS being beamformed based on a channel estimate generated from the SRS; means for receiving an indication of a predicted CSI-RS estimate for the UE from the network entity; and means for sending a feedback message indicating a difference between the predicted CSI-RS estimate and a CSI-RS estimate observed by the UE.

[0034] A non-transitory computer-readable medium storing code for wireless communication at a UE is described. The code may include instructions that can be used by a processor to perform the following actions: sending an SRS to a network entity; receiving a CSI-RS from the network entity, the CSI-RS being beamformed based on a channel estimate generated from the SRS; receiving an indication of a predicted CSI-RS estimate for the UE from the network entity; and sending a feedback message indicating a difference between the predicted CSI-RS estimate and a CSI-RS estimate observed by the UE.

[0035] In some examples of the methods, apparatus, and non-transitory computer-readable media described herein, receiving the indication of the predicted CSI-RS estimate may include operations, features, components, or instructions for the following actions: receiving the indication of the predicted CSI-RS estimate via radio resource control (RRC), downlink control information, or both.

[0036] In some examples of the methods, apparatus, and non-transitory computer-readable media described herein, receiving the indication of the predicted CSI-RS estimate may include operations, features, components, or instructions for receiving the indication of the predicted CSI-RS estimate, a portion of the CSI-RS estimate, or both via a wideband, one or more subbands, or both.

[0037] In some examples of the methods, apparatus, and non-transitory computer-readable media described herein, the difference between the predicted CSI-RS estimate and the CSI-RS estimate observed by the UE may be indicated based on a non-uniform codebook centered around the predicted CSI-RS estimate, the non-uniform codebook being associated with a codebook granularity, a feedback data rate, or both.

[0038] In some examples of the methods, apparatus, and non-transitory computer-readable media described herein, the codebook granularity, the feedback data rate, or both may be based on a statistical dependency of: the CSI-RS estimate, the channel estimate generated based on the SRS, previous CSI feedback sent from the UE based on previous CSI-RS, or a combination thereof.

[0039] Some examples of the methods, apparatus, and non-transitory computer-readable media described herein may further include operations, features, components, or instructions for the following actions: receiving downlink data, which downlink data may be beamformed based on: CSI generated according to the channel estimate of the SRS, previous CSI feedback sent from the UE based on a previous CSI-RS, or both, and the difference between the predicted CSI-RS estimate and the CSI-RS estimate observed by the UE, wherein the downlink data may be quasi-co-located with the previous CSI-RS, the predicted CSI-RS estimate, or both.

[0040] In some examples of the methods, apparatus, and non-transitory computer-readable media described herein, sending the feedback message may include operations, features, components, or instructions for the following actions: sending the feedback message in a frequency band different from a frequency band in which the CSI-RS can be received.

[0041] Some examples of the methods, apparatus, and non-transitory computer-readable media described herein may further include operations, features, components, or instructions for receiving a grant for scheduling downlink data, and monitoring the downlink data, wherein the downlink data may be beamformed based on the CSI generated from the channel estimate of the SRS and the difference between the predicted CSI-RS estimate and the CSI-RS estimate observed by the UE.

[0042] In some examples of the methods, apparatus, and non-transitory computer-readable media described herein, the indication of the predicted CSI-RS estimate may be based on the channel estimate of the SRS, previous CSI feedback sent from the UE based on previous CSI-RS, or both.

[0043] A method is described. The method may include receiving an SRS from a UE, sending a CSI-RS that is beamformed based on a channel estimate generated from the SRS, sending an indication of a predicted CSI-RS estimate for the UE, and receiving a feedback message indicating a difference between the predicted CSI-RS estimate and a CSI-RS estimate observed by the UE.

[0044] An apparatus is described. The apparatus may include a processor, a memory coupled to the processor, and instructions stored in the memory. The instructions are executable by the processor to cause the apparatus to perform the following actions: receive an SRS from a UE; send a CSI-RS that is beamformed based on a channel estimate generated from the SRS; send an indication of a predicted CSI-RS estimate for the UE; and receive a feedback message indicating a difference between the predicted CSI-RS estimate and a CSI-RS estimate observed by the UE.

[0045] Another apparatus is described. The apparatus may include: means for receiving an SRS from a UE; means for sending a CSI-RS that is beamformed based on a channel estimate generated from the SRS; means for sending an indication of a predicted CSI-RS estimate for the UE; and means for receiving a feedback message indicating a difference between the predicted CSI-RS estimate and a CSI-RS estimate observed by the UE.

[0046] A non-transitory computer-readable medium storing code is described. The code may include instructions capable of being used by a processor to perform the following actions: receiving an SRS from a UE; sending a CSI-RS that is beamformed based on a channel estimate generated from the SRS; sending an indication of a predicted CSI-RS estimate for the UE; and receiving a feedback message indicating a difference between the predicted CSI-RS estimate and a CSI-RS estimate observed by the UE.

[0047] Some examples of the methods, apparatus, and non-transitory computer-readable media described herein may further include operations, features, components, or instructions for the following actions: sending downlink data, which downlink data may be beamformed based on: CSI generated according to the channel estimate of the SRS, previous CSI feedback sent from the UE based on a previous CSI-RS, or both, and the difference between the predicted CSI-RS estimate and the CSI-RS estimate observed by the UE, wherein the downlink data may be quasi-co-located with the previous CSI-RS, the predicted CSI-RS estimate, or both.

[0048] In some examples of the methods, apparatus, and non-transitory computer-readable media described herein, receiving the feedback message may include operations, features, components, or instructions for the following actions: receiving the feedback message in a frequency band different from a frequency band in which the CSI-RS may be transmitted. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 An example of an enhanced wireless communication system supporting Closed Loop Intelligent Control Transmission (CLICT) and utilizing distributed source decoding in accordance with one or more aspects of the present disclosure is illustrated.

[0050] Figure 2 An example of an enhanced wireless communication system supporting CLICT and utilizing distributed source coding in accordance with one or more aspects of the present disclosure is illustrated.

[0051] Figure 3 An example of a process flow supporting CLICT and enhancements utilizing distributed source coding in accordance with one or more aspects of the present disclosure is illustrated.

[0052] Figure 4 An example of a process flow supporting CLICT and enhancements utilizing distributed source coding in accordance with one or more aspects of the present disclosure is illustrated.

[0053] Figure 5 and Figure 6 A block diagram of an apparatus supporting CLICT and enhancements utilizing distributed source decoding in accordance with one or more aspects of the present disclosure is shown.

[0054] Figure 7 A block diagram of an enhanced communication manager supporting CLICT and utilizing distributed source decoding in accordance with one or more aspects of the present disclosure is shown.

[0055] Figure 8 A diagram of a system including a device supporting CLICT and utilizing enhancements for distributed source decoding is shown in accordance with one or more aspects of the present disclosure.

[0056] Fig. 9 and Fig.10 A block diagram of an apparatus supporting CLICT and enhancements utilizing distributed source decoding in accordance with one or more aspects of the present disclosure is shown.

[0057] Fig.11 A block diagram of an enhanced communication manager supporting CLICT and utilizing distributed source decoding in accordance with one or more aspects of the present disclosure is shown.

[0058] Fig.12 A diagram of a system including a device supporting CLICT and utilizing enhancements for distributed source decoding is shown in accordance with one or more aspects of the present disclosure.

[0059] Figures 13 to 16 A flow chart illustrating an enhanced method for supporting CLICT and utilizing distributed source decoding in accordance with one or more aspects of the present disclosure is shown. DETAILED DESCRIPTION

[0060] In some wireless communication systems, there is a resource imbalance between user equipment (UE) and network entities. For example, the network entity may have a larger number of antennas than the UE. Additionally or alternatively, the network entity may have a larger transmit power than the UE. If the network entity has a larger number of antennas than the UE, the network entity may be able to perform channel measurements with higher accuracy and precision. Therefore, channel measurements may be prioritized at the network entity. However, because the network entity may also have a larger transmit power, the network entity may be able to send reference signals and channel estimates with higher accuracy and precision. Therefore, channel measurements may be prioritized at the UE rather than at the network entity.

[0061] In some examples, the network entity may beamform a signal to send the signal to the UE in a concentrated manner. In some cases, the quality of the beamforming performed by the network entity may be based on the accuracy and precision of the channel estimation measurement. For example, the UE may measure a reference signal sent by the UE, and the UE may feedback channel state information (CSI) based on measuring the reference signal. In some other examples, the network entity may estimate the channel of a sounding reference signal (SRS) sent by the UE. The network entity may apply precoding to a signal indicating the channel estimation and send a precoded signal indicating the channel estimation to the UE. In some cases, the sounding channel quality of the uplink channel may be limited by the uplink signal-to-noise ratio (SNR) of the uplink channel, and the uplink SNR may be constrained by limitations at the UE. Therefore, the limited sounding channel quality of the uplink channel used to perform channel estimation measurements may result in inaccurate channel measurements, thereby reducing the beamforming quality. Additionally, the uplink feedback accuracy may be limited by the uplink capacity of the uplink channel, which may also be limited by the uplink SNR. Therefore, limited uplink feedback accuracy may also lead to inaccurate channel measurements and degrade beamforming quality.

[0062] Described herein are techniques, systems, and devices for supporting CLICT in wireless communication systems and enhancements utilizing distributed source decoding. In some examples, the UE and the network entity may jointly measure the channel, and the UE may provide feedback to the network entity to improve beamforming quality and performance. Additionally, the UE and the network entity may each have a limited amount of power for performing operations (such as operations for channel estimation). By sharing the load of performing operations for channel estimation, power consumption at either device may be reduced. The UE may send an SRS to the network entity, and the network entity may generate a channel estimate of the SRS. Additionally, the UE may receive a CSI-RS beamformed by the network entity based on the channel estimate of the SRS, and the UE may measure the CSI-RS beamformed by the network entity.

[0063] In some aspects, the UE may indicate compressed CSI to the network entity instead of sending all of the obtained CSI measured from the beamformed CSI-RS. For example, the UE may generate compressed CSI based on encoding the measurement of the CSI-RS, and the UE may send a feedback message containing the compressed CSI. The compressed CSI may indicate to the network entity a portion or approximation of the high-precision CSI as measured by the UE. Because the network entity may have determined some information about the channel based on the network entity's initial estimate of the SRS, the compressed CSI may include information (which may assist the network entity in recovering the high-precision CSI measured by the UE). In other aspects, the network entity may signal a prediction of a channel estimate for the UE, and the UE may signal a correction to the channel so that the network entity can obtain a more accurate channel estimate for the UE. For example, the UE may receive an indication of a predicted CSI-RS estimate for the UE, and the UE may send a feedback message containing the difference between the predicted CSI-RS estimate and the CSI-RS estimate observed by the UE.

[0064] Aspects of the present disclosure are first described in the context of wireless communication systems. Aspects of the present disclosure are further illustrated by and described with reference to signaling diagrams and process flows. Aspects of the present disclosure are further illustrated by and described with reference to apparatus diagrams, system diagrams, and flow diagrams related to CLICT and enhancements using distributed source decoding.

[0065] Figure 1An example of an enhanced wireless communication system 100 supporting CLIT and utilizing distributed source decoding 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 Advanced LTE (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).

[0066] 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 names. In some examples, the network entities 105 and the UE 115 may communicate wirelessly via one or more communication links 125 (e.g., radio frequency (RF) access links). For example, the network entity 105 may support a coverage area 110 (e.g., a geographic coverage area), and the UE 115 and the network entity 105 may establish one or more communication links 125 over the coverage area. The coverage area 110 may be an example of a geographic area, and the network entity 105 and the UE 115 may support signal communications over the geographic area according to one or more radio access technologies (RATs).

[0067] 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 stationary and mobile at different times. The UEs 115 may be devices in different forms or with different capabilities. Figure 1 Some example UEs 115 are illustrated in FIG. 1 . The UEs 115 described herein may be capable of supporting communication with various types of devices, such as Figure 1 Communicate with other UEs 115 or network entities 105) as shown.

[0068] As described herein, a node of the wireless communication system 100 (which may be referred to as a network node or a 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 a UE 115. As another example, the node may be a 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 a UE 115, the second node may be a network entity 105, and the third node may be a UE 115. In another aspect of this example, the first node may be a UE 115, the second node may be a network entity 105, and the third node may be a 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 a second node.

[0069] In some examples, the network entities 105 may communicate with the core network 130, or with each other, or both. For example, the network entities 105 may communicate with the core network 130 via one or more backhaul links 120 (e.g., according to S1, N2, N3, or other interface protocols). In some examples, the network entities 105 may communicate with each other directly (e.g., directly between the network entities 105) or indirectly (e.g., via the core network 130) via the backhaul communication links 120 (e.g., according to X2, Xn, or other interface protocols). In some examples, the network entities 105 may 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. The backhaul communication links 120, midhaul communication links 162, or fronthaul communication links 168 may be or include one or more wired links (e.g., electrical links, optical fiber 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 .

[0070] 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 transceiver base 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 terms). In some examples, the network entity 105 (e.g., a base station 140) may be implemented in an aggregated (e.g., monolithic, standalone) base station architecture, which 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 a base station 140).

[0071] In some examples, the network entity 105 may be implemented in a disaggregated architecture (e.g., a disaggregated base station architecture, a disaggregated RAN architecture) that may 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 may 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, a smart radio head, a remote radio head (RRH), a remote radio unit (RRU), or a transmit receive point (TRP). One or more components of the network entity 105 in the decomposed 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 decomposed RAN architecture may be implemented as virtual units (e.g., virtual CU (VCU), virtual DU (VDU), virtual RU (VRU)).

[0072] The functional split between CU 160, DU 165, and RU 170 is flexible and may support different functionalities 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, and RU 170. For example, a functional split of a protocol stack may be employed between CU 160 and DU 165 such that CU 160 may support one or more layers of a protocol stack and DU 165 may support one or more different layers of a protocol stack. In some examples, CU 160 may host higher protocol layer (e.g., layer 3 (L3), layer 2 (L2)) functionality 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 CU 160 and DU 165 or between DU 165 and RU 170 may be within the protocol layer (e.g., some functions of the protocol layer may be performed by one of CU 160, DU 165, or RU 170, while other functions of the protocol layer are performed by the other of CU 160, DU 165, or RU 170). CU 160 may be further functionally split into CU control plane (CU-CP) functions and CU user plane (CU-UP) functions. CU 160 may be connected to one or more DUs 165 via midhaul communication links 162 (e.g., F1, F1-c, F1-u), and DU 165 may be connected to one or more RUs 170 via fronthaul communication links 168 (e.g., open fronthaul (FH) interface). In some examples, midhaul communication link 162 or fronthaul communication link 168 may be implemented based on interfaces (eg, channels) between layers of a protocol stack supported by respective network entities 105 that communicate via those communication links.

[0073] In some wireless communication systems (e.g., wireless communication system 100), infrastructure and spectrum resources for radio access may support wireless backhaul link capabilities to supplement wired backhaul connections, thereby providing an IAB network architecture (e.g., to the 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 each other. One or more IAB nodes 104 may be referred to as host entities or IAB hosts. One or more DUs 165 or one or more RUs 170 may be partially controlled by one or more CUs 160 associated with a host network entity 105 (e.g., a host base station 140). One or more host network entities 105 (e.g., IAB hosts) 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 links 120). The IAB node 104 may include an IAB mobile terminal (IAB-MT) controlled (e.g., scheduled) by a DU 165 of a coupled IAB host. 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 decomposed 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.

[0074] For example, an access network (AN) or RAN may include an access node (e.g., an IAB host), communications between an IAB node 104, and one or more UEs 115. The IAB host may facilitate connectivity between the core network 130 and the AN (e.g., via a wired or wireless connection to the core network 130). That is, the IAB host may refer to a RAN node having a wired or wireless connection to the core network 130. The IAB host may include a CU 160 and at least one DU 165 (e.g., and RU 170), wherein the CU 160 may communicate with the core network 130 via an interface (e.g., a backhaul link). The IAB host and the IAB node 104 may communicate via an F1 interface according to a protocol defining signaling messages (e.g., an F1 AP protocol). Additionally or alternatively, CU 160 may communicate with the core network via an interface (which may be an example of a portion of a backhaul link) and may communicate with other CUs 160 (e.g., CU 160 associated with an alternative IAB host) via an Xn-C interface (which may be an example of a portion of a backhaul link).

[0075] An IAB node 104 may refer to a RAN node that provides IAB functionality (e.g., access for UE 115, wireless self-backhaul capabilities, etc.). The DU 165 may act as a distributed scheduling node toward child nodes associated with the IAB node 104, and the IAB-MT may act as a scheduled node toward a parent node associated with the IAB node 104. That is, the IAB host may be referred to as a parent node that communicates with one or more child nodes (e.g., the IAB host may relay for UE transmissions through one or more other IAB nodes 104). Additionally or alternatively, depending on the relay chain or configuration of the AN, the IAB node 104 may also be referred to as a parent node or child node of other IAB nodes 104. Thus, the IAB-MT entity of the IAB node 104 may provide a Uu interface for the child IAB node 104 to receive signaling from the parent IAB node 104 , and a DU interface (eg, DU 165 ) may provide a Uu interface for the parent IAB node 104 to signal to the child IAB node 104 or the UE 115 .

[0076] For example, the IAB node 104 may be referred to as a parent node supporting communications for a child IAB node or as a child node associated with the IAB host, or both. The IAB host may include a CU 160 having a wired or wireless connection (e.g., backhaul communication link 120) to the core network 130, and may act as a parent node of the IAB node 104. For example, the DU 165 of the IAB host may relay the transmission to the UE 115 via the IAB node 104, or may directly signal the transmission to the UE 115, or both. The CU 160 of the IAB host may signal the establishment of a communication link to the IAB node 104 via the F1 interface, and the IAB node 104 may schedule the transmission (e.g., the transmission relayed from the IAB host to the UE 115) via the DU 165. That is, data may be relayed to and from the IAB node 104 via signaling via the NR Uu interface of the MT to the IAB node 104. Communications with the IAB node 104 may be scheduled by the DU 165 of the IAB host, and communications with the IAB node 104 may be scheduled by the DU 165 of the IAB node 104 .

[0077] Where the techniques described herein are applied to the context of a decomposed RAN architecture, one or more components of the decomposed RAN architecture may be configured to support CLICT and enhancements utilizing distributed source decoding 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 decomposed RAN architecture (e.g., an IAB node 104, a DU 165, a CU 160, a RU 170, a RIC 175, a SMO 180).

[0078] 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 a "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.

[0079] 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.

[0080] The UE 115 and the 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 defined physical layer structure for supporting the communication link 125. For example, a carrier for the communication link 125 may include a portion of an RF spectrum band (e.g., a bandwidth portion (BWP)) that operates according to one or more physical layer channels for a given radio access technology (e.g., LTE, LTE-A, LTE-A Pro, NR). Each physical layer channel may carry acquisition signaling (e.g., synchronization signals, system information), control signaling for coordinating carrier operations, user data, or other signaling. The wireless communication system 100 may support communications with the UE 115 using carrier aggregation or multi-carrier operation. Depending on the carrier aggregation configuration, the UE 115 may be configured to have multiple downlink component carriers and one or more uplink component carriers. Carrier aggregation may be used for both frequency division duplex (FDD) component carriers and time division duplex (TDD) component carriers. Communication between the network entity 105 and other devices may refer to communication between a device 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).

[0081] In some examples, such as in a carrier aggregation configuration, a carrier may also have acquisition signaling or control signaling that coordinates the operation of other carriers. A carrier may be associated with a frequency channel (e.g., an Evolved Universal Mobile Telecommunications System Terrestrial Radio Access (E-UTRA) Absolute RF Channel Number (EARFCN)) and may be identified according to a channel raster for discovery by UE 115. A carrier may operate in a standalone mode, in which case initial acquisition and connection may be performed by UE 115 via the carrier, or a carrier may operate in a non-standalone mode, in which case the connection is anchored using a different carrier (e.g., a different carrier of the same or different radio access technology).

[0082] The communication link 125 shown in the wireless communication system 100 may include downlink transmissions (e.g., forward link transmissions) from the network entity 105 to the UE 115, uplink transmissions (e.g., return link transmissions) from the UE 115 to the network entity 105, or both, among other transmission configurations. A carrier may carry either downlink communications or uplink communications (e.g., in an FDD mode), or may be configured to carry both downlink communications and uplink communications (e.g., in a TDD mode).

[0083] A carrier may be associated with a particular bandwidth of the RF spectrum, and in some examples, the carrier bandwidth may be referred to as a "system bandwidth" of the carrier or wireless communication system 100. For example, the carrier bandwidth may be one of a set of bandwidths (e.g., 1.4 megahertz (MHz), 3 MHz, 5 MHz, 10 MHz, 15 MHz, 20 MHz, 40 MHz, or 80 MHz) of a carrier of a particular radio access technology. A device (e.g., a network entity 105, a UE 115, or both) of the wireless communication system 100 may have a hardware configuration that supports communications using a particular carrier bandwidth or may be capable of being configured to support communications using one of a set of carrier bandwidths. In some examples, the wireless communication system 100 may include a network entity 105 or a UE 115 that supports concurrent communications using carriers associated with multiple carrier bandwidths. In some examples, each served UE 115 may be configured to operate using a portion (e.g., a sub-band, a BWP) or all of a carrier bandwidth.

[0084] The signal waveform transmitted via the carrier wave may be composed of multiple subcarriers (e.g., using multi-carrier modulation (MCM) techniques, such as orthogonal frequency division multiplexing (OFDM) or discrete Fourier transform spread OFDM (DFT-S-OFDM)). In a system using MCM techniques, a resource element may refer to a resource of one symbol period (e.g., the duration of one modulation symbol) and one subcarrier, in which case the symbol period and the 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), so that a relatively high number of resource elements (e.g., in the 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, time resources, and spatial resources (e.g., spatial layers, beams), and the use of multiple spatial resources may increase the data rate or data integrity of the communication with the UE 115.

[0085] One or more parameter sets for a carrier may be supported, and the parameter sets may include subcarrier spacing (Δf) and cyclic prefixes. A carrier may be divided into one or more BWPs with the same or different parameter sets. In some examples, a UE 115 may be configured with multiple BWPs. In some examples, a single BWP for a carrier may be active at a given time, and communications of a UE 115 may be constrained to one or more active BWPs.

[0086] The time interval for the network entity 105 or the UE 115 may be expressed as a multiple of a basic time unit, which may be, for example, a sampling period T s =1 / (Δf max ·N f ) seconds, where Δf max It can represent the supported subcarrier spacing, and N f The supported discrete Fourier transform (DFT) size may be indicated. The time intervals of the communication resources may be organized according to radio frames, each having a specified duration (e.g., 10 milliseconds (ms)). Each radio frame may be identified by a system frame number (SFN) (e.g., ranging from 0 to 1023).

[0087] Each frame may include multiple consecutively numbered subframes or time slots, and each subframe or time slot may have the same duration. In some examples, the frame may be divided into subframes (e.g., in the time domain), and each subframe may be further divided into multiple 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 multiple symbol periods (e.g., depending on the length of the cyclic prefix added before each symbol period). In some wireless communication systems 100, the time slot may also be divided into multiple mini time slots associated with one or more symbols. Excluding the cyclic prefix, each symbol period may be associated with one or more (e.g., N f The duration of a symbol period may depend on the subcarrier spacing or the operating frequency band.

[0088] A subframe, a slot, a mini-slot, or a symbol may be the smallest scheduling unit (e.g., in the time domain) of the wireless communication system 100 and may be referred to as a transmission time interval (TTI). In some examples, the TTI duration (e.g., the number of symbol periods in a TTI) may be variable. Additionally or alternatively, the smallest scheduling unit of the wireless communication system 100 may be dynamically selected (e.g., in bursts of shortened TTIs (sTTIs)).

[0089] Physical channels may be multiplexed using carriers for communication according to various techniques. For example, physical control channels and physical data channels may be multiplexed via downlink carriers for signaling using one or more of a time division multiplexing (TDM) technique, a frequency division multiplexing (FDM) technique, or a hybrid TDM-FDM technique. A control region (e.g., a control resource set (CORESET)) for a physical control channel may be defined by a set of symbol periods and may extend across a system bandwidth or a subset of a system bandwidth of a carrier. One or more control regions (e.g., CORESETs) may be configured for a set of UEs 115. For example, one or more UEs in UE 115 may monitor or search a 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 amount 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 a plurality of UEs 115 , and a UE-specific search space set for transmitting control information to a specific UE 115 .

[0090] The network entity 105 may provide communication coverage via one or more cells (e.g., macro cells, small cells, hot spots, or other types of cells, or any combination thereof). The term "cell" may refer to a logical communication entity used to communicate with the network entity 105 (e.g., using a carrier), and may be associated with an identifier used to distinguish 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 a coverage area 110 (e.g., a sector) on which the logical communication entity operates. Depending on various factors such as the capabilities of the 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 a building, or an external space between or overlapping coverage areas 110, and the like.

[0091] 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 service subscriptions with a network provider that supports the macro cell. Small cells may be associated with lower power network entities 105 (e.g., lower power base stations 140) compared to macro cells, and small cells may operate using the same or different (e.g., licensed, unlicensed) frequency bands as macro cells. Small cells may provide unrestricted access to UEs 115 that have service subscriptions with a network provider, or may provide restricted access to UEs 115 associated with small cells (e.g., UEs 115 in a closed subscriber group (CSG), UEs 115 associated with users in a home or office). The network entity 105 may support one or more cells, and may also use one or more component carriers to support communications via one or more cells.

[0092] In some examples, a carrier may support multiple cells, and different cells may be configured according to different protocol types (e.g., MTC, narrowband IoT (NB-IoT), enhanced mobile broadband (eMBB)) that may provide access to different types of devices.

[0093] In some examples, the network entities 105 (e.g., base stations 140, RUs 170) may be mobile and thus provide communication coverage for mobile coverage areas 110. In some examples, different coverage areas 110 associated with different technologies may overlap, but the different coverage areas 110 may be supported by the same network entity 105. In some other examples, overlapping coverage areas 110 associated with different technologies may be supported by different network entities 105. The wireless communication system 100 may 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.

[0094] The wireless communication system 100 may support synchronous or asynchronous operation. For synchronous operation, the network entities 105 (e.g., base stations 140) may have similar frame timing, and transmissions from different network entities 105 may be approximately aligned in time. For asynchronous operation, the network entities 105 may have different frame timing, and in some examples, transmissions from different network entities 105 may not be aligned in time. The techniques described herein may be used for either synchronous operation or asynchronous operation.

[0095] Some UEs 115, such as MTC or IoT devices, may be low-cost or low-complexity devices and may provide automated communication between machines (e.g., via machine-to-machine (M2M) communication). M2M communication or MTC may refer to data communication technology that allows devices to communicate with each other or with a network entity 105 (e.g., base station 140) without human intervention. In some examples, M2M communication or MTC may include communication from devices that integrate sensors or meters to measure or acquire information and relay such information to a central server or application that uses the information or presents the information to a person interacting with the application. Some UEs 115 may be designed to collect information or implement automated behavior of machines or other devices. Examples of applications for MTC devices include: smart metering, inventory monitoring, water level monitoring, equipment monitoring, health care monitoring, wildlife monitoring, weather and geographic event monitoring, queue management and tracking, remote security sensing, physical access control, and transaction-based commercial charging.

[0096] Some UEs 115 may be configured to employ a reduced power consumption mode of operation, such as half-duplex communication (e.g., a mode that supports one-way communication via transmission or reception but does not transmit and receive concurrently). In some examples, half-duplex communication may be performed at a reduced peak rate. Other power saving techniques for UE 115 include entering a power-saving deep sleep mode when not engaged in active communications, operating using limited bandwidth (e.g., according to narrowband communications), or a combination of these techniques. For example, some UEs 115 may be configured to operate using a narrowband protocol type that is associated with a defined portion or range (e.g., a subcarrier or resource block (RB) set) within a carrier, within a guard band of a carrier, or outside a carrier.

[0097] 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 or low-latency or critical functions. Ultra-reliable communication may include private communication or group communication, and may be supported by one or more services (such as push-to-talk, video, or data). Support for ultra-reliable, low-latency functions may include prioritization of services, and such services may be used for public safety applications or general commercial applications. The terms ultra-reliable, low-latency, and ultra-reliable low-latency are used interchangeably herein.

[0098] In some examples, a UE 115 may 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 that are performing D2D communication may be within a coverage area 110 of a network entity 105 (e.g., a base station 140, a RU 170), which may support various aspects of such D2D communication configured (e.g., scheduled) by the network entity 105. In some examples, one or more UEs 115 of such a group may be outside of the coverage area 110 of the network entity 105, or may 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 may 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 conducted between UEs 115 without involving network entity 105.

[0099] 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 may be an evolved packet core (EPC) or a 5G core (5GC), which may include at least one control plane entity for managing access and mobility (e.g., a mobility management entity (MME), an access and mobility management function (AMF)) and at least one user plane entity for routing packets or interconnecting to an external network (e.g., a serving gateway (S-GW)), a packet data network (PDN) gateway (P-GW), or a user plane function (UPF)). The control plane entity may manage non-access stratum (NAS) functions, such as mobility, authentication, and bearer management for UE 115 served by a network entity 105 (e.g., a base station 140) associated with the core network 130. User IP packets may be delivered via the user plane entity, which may provide IP address allocation and other functions. The user plane entity may be connected to an IP service 150 for one or more network operators. IP services 150 may include access to the Internet, an intranet, an IP Multimedia Subsystem (IMS), or packet-switched streaming services.

[0100] The wireless communication system 100 may operate using one or more frequency bands that may be in the range of 300 megahertz (MHz) to 300 gigahertz (GHz). Typically, the region from 300 MHz to 3 GHz is referred to as the ultra-high frequency (UHF) region or decimeter band because the wavelength range is approximately one decimeter to one meter. UHF waves may be blocked or redirected by buildings and environmental features (which may be referred to as clusters), but these waves may be sufficient to penetrate structures so that macro cells provide services to UEs 115 located indoors. Communications using UHF waves may be associated with smaller antennas and shorter ranges (e.g., less than 100 kilometers) than communications using lower frequencies and longer waves in the high frequency (HF) or very high frequency (VHF) portions of the spectrum below 300 MHz.

[0101] The wireless communication system 100 may also operate in an ultra-high frequency (SHF) region (also known as a centimeter band) that may be in the range of 3 GHz to 30 GHz or an extremely high frequency (EHF) region (also known as a millimeter band) that uses a spectrum (e.g., from 30 GHz to 300 GHz). In some examples, the wireless communication system 100 may support millimeter wave (mmW) communications between UE 115 and network entity 105 (e.g., base station 140, RU 170), and the EHF antenna of the corresponding device may be smaller and closer than the UHF antenna. In some examples, such technology may facilitate the use of antenna arrays within the device. However, the propagation of EHF transmissions may be subject to even greater attenuation and shorter range than SHF or UHF transmissions. The technology disclosed herein may be adopted across transmissions using one or more different frequency regions, and the use of frequency bands specified across these frequency regions may vary by country or regulatory agency.

[0102] The wireless communication system 100 may utilize both licensed RF spectrum bands and unlicensed RF spectrum bands. For example, the wireless communication system 100 may 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 network entities 105 and UE 115 may employ carrier sensing for conflict detection and avoidance. In some examples, operations using unlicensed bands may be based on carrier aggregation configuration in combination with component carriers operating using licensed bands (e.g., LAA). Operations using unlicensed spectrum may include downlink transmissions, uplink transmissions, P2P transmissions, or D2D transmissions, and the like.

[0103] The 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 technologies such as transmit diversity, receive diversity, multiple-input multiple-output (MIMO) communication, or beamforming. The antennas of the network entity 105 or UE 115 may be located in one or more antenna arrays or antenna panels that 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 geographical locations. The network entity 105 may include an antenna array having a set of 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 panel may support RF beamforming for signals sent via the antenna ports.

[0104] The network entity 105 or UE 115 may use MIMO communication to utilize multipath signal propagation and improve spectral efficiency by sending or receiving multiple signals via different spatial layers. Such technology may be referred to as spatial multiplexing. Multiple signals may be, for example, sent by a transmitting device via different antennas or different combinations of antennas. Similarly, 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 technologies include: single-user MIMO (SU-MIMO), in which multiple spatial layers are sent to the same receiving device; and multi-user MIMO (MU-MIMO), in which multiple spatial layers are sent to multiple devices.

[0105] Beamforming (which may also be referred to as spatial filtering, directional transmission, or directional reception) is a signal processing technique that may be used at a sender device or a receiver 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 sender device and the receiver device. Beamforming may be achieved by combining signals conveyed 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 signals conveyed via antenna elements may include the sender device or the receiver device applying an amplitude offset, a phase offset, or both to signals carried via antenna elements associated with the device. Adjustments associated with each of the antenna elements may be defined by a set of beamforming weights associated with a particular orientation (e.g., relative to the antenna array of the sender device or the receiver device or relative to some other orientation).

[0106] The network entity 105 or UE 115 may use beam scanning 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 UE 115. Some signals (e.g., synchronization signals, reference signals, beam selection signals, or other control signals) may be sent multiple times by the network entity 105 along different directions. For example, the network entity 105 may send signals according to different sets of beamforming weights associated with different transmission directions. Transmission along different beam directions may be used to identify (e.g., by a transmitting device (such as network entity 105), or by a receiving device (such as UE 115)) a beam direction for later transmission or reception by the network entity 105.

[0107] Some signals, such as data signals associated with a particular receiving device, may be sent by a sending device (e.g., sending network entity 105, sending UE 115) along a single beam direction (e.g., a direction associated with a receiving device (such as receiving network entity 105 or receiving UE 115)). In some examples, the beam direction associated with the transmission along the single beam direction may be determined based on signals sent along one or more beam directions. For example, UE 115 may receive one or more of the signals sent by network entity 105 along different directions, 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.

[0108] 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 a system bandwidth or one or more subbands. Network entity 105 may send reference signals (e.g., cell-specific reference signals (CRS), CSI reference signals (CSI-RS)), which may be precoded or not precoded. UE 115 may provide feedback for beam selection, which may be a precoding matrix indicator (PMI) or codebook-based feedback (e.g., multi-panel codebook, linear combination codebook, port selection 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).

[0109] A receiving device (e.g., UE 115) may perform receiving operations according to multiple receiving 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 receiving directions by: receiving via different antenna subarrays, processing received signals according to different antenna subarrays, receiving according to different receiving beamforming weight sets (e.g., different directional listening weight sets) applied to signals received at multiple antenna elements of an antenna array, or processing received signals according to different receiving beamforming weight sets applied to signals received at multiple antenna elements of an antenna array, any of which may be referred to as "listening" according to different receiving configurations or receiving directions. In some examples, the receiving device may use a single receiving 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).

[0110] The wireless communication system 100 may be a packet-based network that operates according to a layered protocol stack. In the user plane, the communication at the bearer or PDCP layer may be IP-based. The RLC layer may perform packet segmentation and reassembly to communicate via logical channels. The MAC layer may perform priority processing and multiplexing of logical channels to transport channels. The MAC layer may also implement error detection techniques, error correction techniques, or both to support retransmission to improve link efficiency. In the control plane, the RRC layer may provide the establishment, configuration, and maintenance of an RRC connection that supports a radio bearer for user plane data between the UE 115 and the network entity 105 or the core network 130. The PHY layer may map a transport channel to a physical channel.

[0111] UE 115 and network entity 105 may support retransmission of data to increase the likelihood that the data is successfully received. Hybrid automatic repeat request (HARQ) feedback is a technique for increasing the likelihood of correctly receiving data via a communication link (e.g., communication link 125, D2D communication link 135). HARQ may include a combination of error detection (e.g., using a cyclic redundancy check (CRC)), forward error correction (FEC), and retransmission (e.g., automatic repeat request (ARQ)). HARQ may improve throughput at the MAC layer under poor radio conditions (e.g., low signal-to-noise ratio conditions). In some examples, a device may support same-slot HARQ feedback, in which case the device may provide HARQ feedback in a specific time slot for data received in a previous symbol in the time slot. In some other examples, the device may provide HARQ feedback in a subsequent time slot or according to some other time interval.

[0112] In the wireless communication system 100, the network entity 105 may have a greater power capability and a greater capacity for receiving uplink transmissions and for sending downlink transmissions. The network entity 105 may have a greater number of antennas than the UE 115. For example, the network entity 105 may have 256 antennas, while the UE may have 4 antennas. Additionally or alternatively, the network entity 105 may have a greater transmit power than the UE 115. For example, the network entity 105 may transmit transmissions using a power of 50 dBm, while the UE 115 may transmit transmissions using a power of 23 dBm.

[0113] In the wireless communication system 100, the network entity 105, the UE 115, or both may perform channel measurements on reference signals. In some examples, the UE 115, the network entity 105-a, or both may distinguish CSI based on channel reciprocity, because measuring the downlink channel may provide some characteristics of the uplink channel, and vice versa. For example, in some examples, the network entity 105 may perform channel measurements based on receiving an SRS from the UE 115. In other examples, the UE 115 may perform channel measurements based on receiving a CSI-RS. Because the network entity 105 may have more antennas than the UE 115, the network entity 105 may be able to perform channel measurements with higher accuracy and precision. Therefore, channel measurements may be supported at the network entity. However, because the network entity 105 may also have a greater transmit power, the network entity 105 may be able to send a reference signal at high power to facilitate CSI estimation with higher accuracy and precision. Therefore, channel measurements may be supported at the UE 115 rather than at the network entity 105.

[0114] In some examples, UE 115 may measure the CSI-RS sent by network entity 105, and UE 115 may respond by transmitting CSI feedback on the uplink based on measuring the CSI-RS. In such examples, UE 115 may measure downlink CSI using channel measurements corresponding to the received CSI-RS. In some examples, UE 115 may transmit CSI feedback on a lower frequency band to improve link budget (e.g., power cost for communication on communication link 125) to improve CSI accuracy. In other examples, the network entity may estimate the channel of the SRS sent by UE 115, network entity 105 may apply precoding to the channel estimate, and network entity 105 may send the precoded channel estimate to UE 115.

[0115] In some cases, the sounding channel quality of the uplink channel may be limited by the uplink SNR of the uplink channel, and the uplink SNR may be constrained by the limitations at the UE (e.g., the number of antennas, the amount of transmit power). Additionally, the uplink feedback accuracy may be limited by the uplink capacity of the uplink channel, which is also limited by the uplink SNR. For example, a network entity may use a pre-decoder (e.g., a pre-decoding matrix) to pre-decode a signal to be sent to the UE. The UE 115 may send a pre-decoder to the network entity so that the network entity may know which pre-decoder to use when pre-decoding the signal. In some cases, in addition to sending the pre-decoder, the UE 115 may also send CSI feedback after performing channel measurement. In the case where the UE 115 sends CSI feedback and a pre-decoder to the network entity 105 on the same uplink channel, the uplink SNR and the uplink capacity of the uplink channel may be affected. Because the uplink SNR may limit the sounding channel quality of the uplink channel, the quality of signaling on the uplink channel may be limited. Additionally, because the uplink SNR may limit the uplink capacity of the uplink channel, the uplink feedback accuracy may also be limited.

[0116] As described herein, the UE 115 may perform CLICT transmission using closed-loop feedback to significantly improve beamforming tracking accuracy, thereby improving the user experience. For example, CLICT transmission may achieve laser-precise beamforming by beamforming subspace tracking to eliminate interference between different receive antennas on a single user. In some examples, the wireless communication system 100 may be a multi-user (MU) MIMO system. The network entity 105 may communicate with several UEs 115 simultaneously in a MU-MIMO system, thereby improving throughput. In a MU-MIMO system, the UE 115 may support a high rank and behave like multiple independent MU-MIMO beamformed UEs, where each independent MU-MIMO beamformed layer in multiple independent MU-MIMO beamformed layers is processed based on an antenna subset. For example, a UE 115 with 8 layers of MIMO may have 8 receiver antennas, and the network entity 105 may beamform each antenna of the UE 115, assuming that the 8 antennas are demodulated independently with 1 antenna each, and there is no joint processing. For example, the network entity 105 may attempt to orthogonalize the 8 layers of the UE 115 in beamforming. Therefore, when performing CLICT, the UE 115 may use the spatial subspace MU-CSI feedback mechanism to fully enhance the MU-MIMO performance (SU-MIMO performance without joint processing of the receiver antennas) and further increase the throughput at the UE 115. In some examples, the wireless communication system 100 may be a massive MIMO (mMIMO) system. The network entity 105 may have a larger number of antennas in an mMIMO system than in a typical MIMO system. In an mMIMO system, the performance loss of performing beamforming for each antenna may be limited. Additionally, beamforming for each antenna and processing a single layer of demodulation for each antenna may occur, which may significantly reduce the complexity of the UE 115 (e.g., for a case where multiple antenna pairs are each beamformed, assuming that these multiple antenna pairs are processed independently).

[0117] In some examples, the MIMO command (e.g., the number of receive antennas and / or transmit antennas used for signaling) may change the scaling of the modem envelope. The modem throughput of the MIMO envelope may scale linearly with respect to the bandwidth of the MIMO envelope. However, the modem throughput of the MIMO envelope may scale sub-linearly with respect to the number of MIMO layers. A UE 115 with 2 layers of MIMO may support much higher throughput than 4 layers of MIMO. The throughput gap between the number of MIMO layers may increase as the scaling of the MIMO order increases. In some examples, the UE 115 may have more favorable throughput scaling with the MIMO order by scaling with bandwidth closer to the network entity 105.

[0118] In some examples, UE 115 can have more favorable throughput scaling with MIMO order by performing certain beamforming techniques. If the network entity 105 can perform beamforming in such a way that it is assumed that every 2 antenna receiving pairs perform joint demodulation processing and the channels from the other 2 receiving pairs are orthogonalized, the network entity 105 can have sufficient channel freedom. Additionally, the massive MIMO distribution can substantially orthogonalize the channels between multiple devices in the wireless communication system 100 (e.g., receiver antenna pair groups within a single UE 115). When performing CLICT transmission, UE 115 can achieve linear complexity scaling with respect to throughput as the MIMO order scales. In some examples, UE 115 can achieve linear complexity scaling with respect to throughput for low to medium mobility users. Additionally or alternatively, UE 115 can achieve linear complexity scaling with respect to throughput for medium to high mobility users with ultra-fast subspace (e.g., beamformed CSI-RS or DMRS) CSI feedback. For the purpose of fast CSI tracking, UE 115 can use a closed-loop intelligent control mechanism designed for wireless control applications (e.g., 5G URLLC, industrial IOT). In some examples, UE 115 can send more frequency feedback to network entity 105 in the uplink based on URLLC applications.

[0119] UE 115 may perform CLICT transmission by performing channel measurements of reference signals together with network entity 105 and sharing channel measurements from the perspective of UE 115 by using closed-loop feedback. For example, UE 115 may send SRS to network entity 105. UE 115 may receive CSI-RS from network entity 105, which is beamformed based on channel estimation of SRS. In some aspects, UE 115 and network entity 105 may jointly measure the beamformed channel or subspace of the channel. In such aspects, UE 115, network entity 105, or both may perform channel measurements to improve beamforming quality and improve power consumption. For example, UE 115 may send a feedback message that includes compressed CSI generated based on encoding the measurement of CSI-RS. That is, UE 115 may use a coding scheme to generate a simplified version of the CSI measured and observed from the perspective of UE 115, so that the CSI measured by the UE includes a portion of the CSI measured by the UE. By indicating the compressed CSI in the feedback message, the UE 115 may share a portion of the CSI measurement of the UE 115 with the network entity 105. Although the network entity 105 may discern the CSI measured by the UE based on the channel estimate of the SRS by the network entity 105, the network entity 105 may obtain a more accurate version of the CSI measured by the UE by fusing the compressed CSI with information in the channel estimate of the SRS. Additionally or alternatively, the UE 115 may receive an indication of a predicted CSI-RS estimate for the UE 115 and send a feedback message indicating a difference between the predicted CSI-RS estimate and the CSI-RS estimate observed by the UE 115. Based on the indicated difference or error between the predicted CSI-RS estimate and the CSI-RS estimate observed by the UE 115, the UE 115 may apply a correction to the predicted CSI-RS estimate, thereby allowing the UE 115 to estimate a more accurate CSI measurement or prediction with less overhead.

[0120] Figure 2 An example of an enhanced wireless communication system 200 supporting CLIT and utilizing distributed source decoding according to one or more aspects of the present disclosure is illustrated. In some examples, the wireless communication system 200 may be implemented by one or more aspects of the wireless communication system 100. For example, the UE 115-a may be an example of the UE 115, and the network entity 105-a may be an example of the network entity 105, as described with reference to FIG. Figure 1 Additionally, communication link 125-a and communication link 125-b may each be as described in reference Figure 1Examples of communication links 125 are described. Communication link 125-a, communication link 125-b, or both may be associated with a channel for signaling exchanged between UE 115-a and network entity 105-a. Additionally, communication link 125 may be associated with a channel on which UE 115-a and network entity 105-a may perform channel measurements.

[0121] For example, UE 115-a may measure CSI based on the downlink CSI-RS, and perform CSI compression (e.g., to quantize CSI or channel state values) using Wyner-Ziv decoding, and map binary bits to syndromes using a channel code such as a low-density parity check code to achieve compression of the CSI. At the network entity 105 receiver side, the receiver may use the syndrome in conjunction with side information at the network entity 105-a side (e.g., SRS-based channel estimation or previous CSI reports).

[0122] In some examples, UE 115-a and network entity 105 may jointly perform tightly coupled CSI measurements to perform CLICT transmission. For example, UE 115-a may send SRS205 to network entity 105-a, and network entity 105-a may measure SRS205. In some examples, UE 115-a may transmit SRS205 in a mid-band (e.g., in a mid-frequency range). Network entity 105-a may have a large number of antennas (e.g., ranging from 256 antennas to 1024 antennas), which may be greater than the number of antennas at UE 115-a (e.g., 4 antennas). In some examples, network entity 105-a may estimate the channel by using the entire number of antennas. In other examples, network entity 105-a may estimate the channel by using a subset of antennas. Network entity 105 may make a channel estimate of the channel based on measuring SRS205. Based on SRS205, network entity 105 may generate a pre-decoder. The network entity 105 - a may use a precoder to beamform the CSI-RS 210 .

[0123] The network entity 105-a may beamform the CSI-RS 210 based on the channel estimate of the SRS 205. Additionally or alternatively, the network entity 105-a may beamform the CSI-RS 210 based on previous CSI feedback for previous CSI-RS measured and reported by the UE 115-a. Based on the initial estimate of the SRS 205, the network entity 105 may form an initial beam and transmit the CSI-RS 210 in the downlink by using a plurality of ports (e.g., ranging between 32 ports and 128 ports). In some examples, the network entity 105 may beamform the CSI-RS 210 in a dimension lower than the dimension used to obtain the channel estimate of the SRS 205 (e.g., ranging between 4 CSI-RS antenna ports and 8 CSI-RS antenna ports, which may be a number of ports reduced relative to the number of layers used to obtain the channel estimate of the SRS 205). UE 115-a may receive CSI-RS 210 and further measure CSI-RS 210 transmitted in the downlink. In some examples, UE 115-a may measure a beamformed channel in the downlink based on a demodulation reference signal (DMRS).

[0124] In some implementations, UE 115-a may use distributed source decoding to encode channel measurements. Diagram 260 illustrates the concept of distributed source decoding for encoding measurements of CSI-RS 210. In some implementations, UE 115-a may encode measurements of CSI-RS 210. For example, UE 115-a may perform CSI measurements 225. Figure 2 As illustrated, CSI measurement 225 may be denoted as X. In some examples, encoder 240 of UE 115-a may apply a coding scheme to CSI measurement 225 to generate compressed CSI 245. For example, UE 115-a may perform CSI compression (i.e., to quantize the channel state value) via Wynzer Ziv coding and map binary bits to syndromes using a channel code such as a low-density parity-check code. Figure 2 As illustrated, compressed CSI 245 may be denoted as W. Compressed CSI 245 may be a compressed (e.g., simplified) version of CSI measurement 225, which may be recovered from the network entity 105-a side based on CSI side information. In some examples, UE 115-a may generate compressed CSI 245 by assuming information known at network entity 105-a. Compressed CSI 245 may be generated by simplifying CSI measurement 225 so that finer bits are extracted from CSI measurement 225 that are expected to be observed from the perspective of network entity 105-a with a large amount of noise.

[0125] In some cases, UE 115-a may receive control signaling indicating a coding scheme that encoder 240 may use to encode CSI measurements 225 of CSI-RS 210. In some examples, the coding scheme may be a syndrome-based coding scheme. Thus, UE 115-a may receive control signaling indicating the syndrome-based coding scheme to network entity 105-a. Additionally or alternatively, the coding scheme may be a Wyner-Ziv decoding scheme. Thus, UE 115-a may receive control signaling indicating the Wyner-Ziv decoding scheme to UE 115-a. In some cases, compression may not assume any information from the network entity 105-a side.

[0126] In some examples, UE 115-a may send a message indicating an ability to encode CSI-RS measurements. For example, UE 115-a may send a capability message to network entity 105-a. The capability message may include an indication conveying that UE 115-a is capable of encoding CSI-RS measurements of CSI-RS 210 assuming side information at the receiver side of network entity 105-a. Alternatively, the capability message may include an indication conveying that UE 115-a is unable to perform encoding.

[0127] As illustrated in diagram 260, CSI measurements 225 may include information known to the network entity 105-a and information that may be unknown to the network entity 105-a. For example, the network entity 105-a may make a noisy observation of the channel based on the channel estimate 235 of the SRS 205. The network entity 105-a may be able to determine some information in the channel estimate 235 with high clarity, resolution, or quality, but some of the information in the channel estimate 235 may be lossy or uncertain. Therefore, the UE 115-a may report unknown or expected to be lossy, uncertain, or low quality information to the network entity 105-a in the compressed CSI 245. Instead of reporting information known to the network entity 105-a, the UE 115-a may report information that is not determined from the channel estimate 235 in order to supplement the channel estimate refinement.

[0128] For example, regarding Figure 2As illustrated, the channel estimate 235 of the SRS 205 may be represented as Y. In some examples, the UE 115-a may derive the channel estimate 235 of the SRS 205 measured at the network entity 105-a based on applying the function 230 to the CSI measurement 225 observed by the UE 115-a. The function 230 may be associated with the same coding scheme used by the encoder 240. In some examples, the channel estimate 235 of the SRS 205 may be a noisy observation of the signaling exchanged on the channel between the UE 115-a and the network entity 105-a. For example, the binary representation of the channel estimate 235 may be b0b1b2b3b4b5, where the first bit string b0b1b2 may indicate a first portion of the information included in the channel estimate 235, and b3b4b5 may indicate a second portion of the information included in the channel estimate 235. In some examples, network entity 105-a may determine that b0b1b2 is a cleaner observation of the signaling than b3b4b5. For example, network entity 105-a may determine that b0b1b2 is accurately observed with minimal noise, and network entity 105-a may determine that b3b4b5 is poorly observed with considerable noise. Therefore, bit b0b1b2 may be more refined (e.g., more accurately or precisely observed) than b3b4b5.

[0129] In some examples, the compressed CSI 245 and the channel estimate of SRS 205 generated by the encoder 240 may each include different portions of information associated with the estimated channel observed at the UE 115-a, such as the CSI measurement 225. Compared to the channel estimate 235, the CSI measurement 225 may be a cleaner observation of the signaling exchanged on the channel between the UE 115-a and the network entity 105-a. For example, the binary representation of the CSI measurement 225 may be b0b1b2b6b7b8, where the third bit string b6b7b8 contains less noise than b3b4b5. Therefore, b6b7b8 may be a finer bit string than b3b4b5. The UE 115-a may send the compressed CSI 245 to help the network entity 105-a obtain a more accurate observation of the signaling exchanged between the UE 115-a and the network entity 105-a. For example, instead of sending the entire channel estimate (e.g., b0b1b2b6b7b8), the UE 115-a may send a portion of the channel estimate to the network entity 105-a, where the portion sent by the UE 115-a to the network entity 105-a includes finer bits b6b7b8 of the channel estimate. By encoding the CSI measurement 225, the UE 115-a may approximate the CSI measurement 225 as compressed CSI 245, which may be utilized from the network entity 105-a side in conjunction with an SRS CSI estimate or a previous CSI report from the UE 115-a to refine the CSI estimate at the network entity 105-a.

[0130] UE 115-a may send a feedback message 220. The feedback message 220 may include at least a portion of the CSI observed by UE 115-a. That is, UE 115-a may determine the CSI at the angle of UE 115-a based on measuring CSI-RS 210 to obtain a channel estimate, and UE 115-a may include at least a portion of the CSI observed by UE 115-a in the feedback message 220. In some aspects, the feedback message 220 may include compressed CSI 245. For example, network entity 105-a may receive compressed CSI 245 in feedback message 220. Based on compressed CSI 245 and channel estimate 235 of SRS, network entity 105-a may formulate refined pre-decoding to improve beamforming performance (e.g., to further eliminate inter-layer interference, such as noise, for UE 115-a). In some examples, UE 115-a may assume or determine information associated with channel estimate 235 of SRS 205, and UE 115-a may use the assumed information to generate compressed CSI 245. Alternatively, UE 115-a may generate compressed CSI 245 without assuming information associated with channel estimate 235 of SRS 205. UE 115-a may send feedback message 220 on the uplink in a mid-frequency band (e.g., a mid-frequency range) or a low-frequency band (e.g., a low-frequency range).

[0131] By enabling the UE 115-a to send signaling such as the feedback message 220 in the uplink over a wider frequency bandwidth, the UE 115-a may improve the link budget for uplink communications. In some aspects, the UE 115-a may send the feedback message 220 in a frequency band different from the frequency band in which the CSI-RS 210 was received. For example, the network entity 105-a may send the CSI-RS on a mid-band and the UE 115-a may send the feedback message 220 on a low-band.

[0132] The network entity 105-a may decode the compressed CSI 245 after receiving the feedback message 220. In some examples, the process of the network entity 105-a receiving the feedback message 220 may include the process of decoding the compressed CSI 245. The network entity 105-a may decode the compressed CSI 245 based on a decoding scheme, and use the decoded compressed CSI 245 to obtain the CSI measurement 225. For example, the network entity 105-a may include a decoder 250, and the decoder 250 may use a decoding scheme to decode the compressed CSI 245. In some examples, the decoding scheme may be a syndrome-based decoding scheme. Additionally or alternatively, the decoding scheme may be a Wyner-Ziv decoding scheme. The syndrome-based decoding scheme may be associated with a syndrome-based encoding scheme. For example, the network entity 105-a may decode the compressed CSI 245 encoded by the encoding scheme by using a decoding scheme that is inverse to the encoding scheme. Additionally or alternatively, the Wyner-Ziv decoding scheme may be associated with the Wyner-Ziv encoding scheme. For example, the network entity 105-a may decode the compressed CSI 245 encoded by the Wyner-Ziv encoding scheme by using a Wyner-Ziv decoding scheme that is the inverse of the Wyner-Ziv encoding scheme. For example, for the CSI encoded by Wyner-Ziv using a low-density parity-check code, the receiver side may use the side information to initiate decoding and perform low-density parity-check decoding on the log likelihood ratio initiated by the side information and the syndrome sent from the UE 115-a side.

[0133] Decoder 250 may receive compressed CSI 245 and channel estimate 235 of SRS 205. Based on the decoding scheme, decoder 250 may fuse compressed CSI 345 and channel estimate 235 of SRS 205 to generate recovered CSI measurement 255, which may be referenced Figure 2 255 and the compressed CSI 245. The recovered CSI measurement 255 may be an accurate and precise approximation of the CSI measurement 225 observed by the UE 115-a. The network entity 105-a may precode (e.g., beamform) downlink data based on the recovered CSI measurement 255. For example, the UE 115-a may receive downlink data that is beamformed based on the recovered CSI measurement 255 generated from the channel estimate 235 of the SRS 205 and the compressed CSI 245.

[0134] In some examples, UE 115-a may receive a grant that schedules downlink data. For example, network entity 105 may send a resource grant to UE 115-a, and the resource grant may indicate resources available for receiving the scheduled downlink data. Based on the recovered CSI 245 generated from the channel estimate 235 of SRS 205 and compressed CSI 245, UE 115-a may monitor the downlink data. By monitoring the downlink data scheduled by the received grant, UE 115-a may receive the downlink data, which may include beamformed downlink data pre-coded by network entity 105-a based on the recovered CSI measurement 255.

[0135] In some specific implementations, the network entity 105-a may specify and / or transmit an expected downlink channel to the UE 115-a, and the UE 115-a may feedback a correction to the expected downlink channel so that the network entity can more accurately perform channel estimation. For example, the UE 115-a may receive a predicted CSI-RS estimate from the network entity 105-a. The network entity 105-a may generate a prediction of the CSI-RS estimate based on a priori information about the identity or characteristics of the channel known to the network entity 105-a. In addition to or as an alternative to receiving compressed CSI 245 in the feedback message 220 based on distributed source decoding (e.g., Wyner-Ziv decoding), the UE 115-a may receive CSI feedback in the feedback message 220 for the difference between the predicted CSI-RS estimate and the CSI-RS estimate observed by the UE 115-a. That is, the UE 115 - a may receive the feedback message 220 , and the feedback message 220 may include the estimated error (or a quantized version thereof) of the predicted CSI-RS estimate 215 generated by the network entity 105 - a .

[0136] In some examples, the network entity 105-a may signal the UE 115-a of a target beamformed channel, which may be the same as or different from the observed channel. For example, the network entity 105-a may intend to precode the channel (e.g., CSI-RS210) as a unit matrix. From the perspective of the UE 115-a, due to the estimation error of the predicted CSI-RS estimate generated by the network entity 105-a, the precoded channel (e.g., CSI-RS210) may not be a unit matrix. For example, due to the estimation error, the precoded channel may have a distribution that is centered around the unit matrix but is not the same as the unit matrix. In some examples, a non-uniform codebook may be used, the mean of which is centered on the target beamformed channel. The non-uniform codebook may be different from a traditional MIMO codebook design that assumes that the channel is unknown. In some examples, the target beamformed channel may be hard-coded and / or preconfigured for the UE 115-a. In such examples, UE 115-a may be preconfigured with a diagonal matrix structure associated with a target beamformed channel, and UE 115-a may receive signaling (e.g., indicating the size of the diagonal elements associated with the target beamformed channel and the diagonal matrix structure). Additionally or alternatively, UE 115-a may receive a target beamformed channel (such as CSI-RS 210) based on observations of CSI-RS 210 at network entity 105-a.

[0137] Figure 3 An example of a process flow 300 for supporting CLICT and utilizing enhancements for distributed source decoding according to one or more aspects of the present disclosure is illustrated. The process flow 300 may be implemented by a UE 115-b or a network entity 105-b or both, which may be as described in reference to Figure 1 and Figure 2 1 and 105. In some cases, some of the processes or signaling of process flow 300 may be similar to those of UE 115 and network entity 105. Figure 3 Additionally or alternatively, some additional processes or signaling not shown may occur, or some processes or signaling shown may not occur, or both.

[0138] By implementing process flow 300, network entity 105-b may recover high accuracy CSI for a channel between network entity 105-b and UE 115-b. Network entity 105-b may recover complete CSI based on compressed CSI reported by the UE and channel estimation performed on an SRS from the UE or previously received CSI for a previously transmitted CSI-RS, or both. By implementing process flow 300, UE 115-b or network entity 105-b or both may enable UE 115-b to utilize side information regarding CSI at network entity 105-b. By using or utilizing side information regarding CSI at network entity 105-b, UE 115-b may reduce reporting overhead and reduce CSI calculations at UE 115-b.

[0139] For example, at 305, UE 115-b may send an SRS to network entity 105-b. At 310, network entity 105-b may measure an SRS estimate. For example, network entity 105-b may measure the SRS, and network entity 105-b may generate an SRS estimate or a channel estimate of the SRS based on measuring the SRS. The channel estimate of the SRS may include estimation information associated with the channel. The estimation information may include noisy data bits and finer data bits containing minimal noise. By measuring the SRS and determining the channel estimate, network entity 105-b may form and / or select an initial beam to transmit a CSI-RS to UE 115-b.

[0140] At 315, the network entity 105-b may send a CSI-RS, and the UE 115-b may receive the CSI-RS. In some cases, the CSI-RS may be beamformed based on a channel estimate of the SRS. For example, based on an initial SRS estimate, the network entity 105-b may form a beam that may be used to transmit the CSI-RS to the UE 115-b. Additionally or alternatively, the CSI-RS may be beamformed based on previous CSI feedback sent from the UE based on the previous CSI-RS. For example, the UE 115-b may have previously sent feedback including CSI (e.g., compressed CSI or high-precision CSI), and the beamforming configuration of the CSI-RS received at 315 may be based on the previous feedback for the previous CSI-RS.

[0141] UE 115-b may measure the CSI-RS received from network entity 105-b to determine CSI or channel estimates for a channel between UE 115-b and network entity 105-b. In some examples, UE 115-b may encode the measurement of the CSI-RS. For example, assuming that side information is available at the network entity 105-b receiver, UE 115-b may encode the CSI-RS by using a coding scheme (e.g., a syndrome-based coding scheme, a Wyner-Ziv decoding scheme). In such examples, UE 115-b may generate compressed CSI based on encoding the measurement of the CSI-RS. The compressed CSI may be a simplified or compressed version of the measurement of the CSI-RS. That is, the compressed CSI includes a portion of the information in the measurement of the CSI-RS, which can be used to supplement the CSI measurement on the network entity 105-b side to derive a more accurate CSI measurement. The compressed CSI may include data bits containing less noise and interference than the corresponding data bits associated with the SRS estimate. In some cases, the UE 115-b may implement a quantizer (e.g., a scalar quantizer or a vector quantizer) for encoding, which may be followed by a syndrome-based coding scheme.

[0142] In some examples, UE 115-b may apply a coding scheme to the measurement based on an assumed or expected CSI-RS channel estimate at network entity 105-b. For example, UE 115-b may encode the CSI-RS measurement based on an SRS-based channel estimate assumed by UE 115-b for network entity 105-b or based on information possessed by a previous CSI feedback message. UE 115-b may encode the CSI-RS measurement based on sending a capability message to network entity 105-b, indicating that UE 115-b is capable of supporting the transmission of compressed CSI, or performing a CLICT-based procedure, or both.

[0143] At 320, UE 115-b may send a compressed CSI feedback message to network entity 105-b, and network entity 105-b may receive the compressed CSI feedback message. The compressed CSI feedback message may include the compressed CSI. Thus, the compressed CSI feedback message may include a simplified form of the CSI observed by UE 115-b. In some cases, the granularity or amount of feedback included in the CSI feedback message or in the compressed CSI may be based on a statistical dependency between an expected or predicted CSI-RS estimate determined at network entity 105-b and a CSI-RS estimate determined at UE 115-b. Additionally or alternatively, the granularity or amount of feedback may be based on a quality of the feedback channel.

[0144] In some aspects, UE 115-b may receive an indication of the granularity, amount, or both of the feedback included in the compressed CSI, and network entity 105-b may send an indication of the granularity, amount, or both of the feedback included in the compressed CSI. For example, UE 115-b may receive signaling from network entity 105-b indicating the compression granularity or amount of check sub-bits of the compressed CSI. Additionally or alternatively, the CSI compression rate may be based on the correlation between the network-side CSI (e.g., CSI estimation performed by network entity 105-b) and the CSI measured based on the downlink reference signal at UE 115-b, the quality of the downlink CSI, the capacity of the feedback channel used to send feedback messages (e.g., compressed CSI feedback messages or high-precision CSI), or any combination thereof. For example, UE 115-b may determine the CSI compression rate based on a function of the correlation of the network entity 105-b side information, the quality of the downlink CSI from the CSI-RS received at UE 115-b, and the capacity of the uplink feedback channel.

[0145] In some examples, a feedback message indicating a difference between a predicted CSI-RS estimate and a CSI-RS estimate observed by UE 115-b may be compressed using a vector quantizer, a scalar quantizer, or both, and optionally followed by lossless compression (e.g., utilizing receiver side information in the case of CLICT) to generate compressed CSI feedback. In some examples, the difference between the predicted CSI-RS estimate and the CSI-RS estimate observed by UE 115-b may be in the form of a non-uniform codebook centered around an expected or predicted channel estimate, the codebook granularity and feedback data rate of the non-uniform codebook being determined by a statistical dependency of the UE 115-b side channel estimate and the gNB side SRS channel estimate (or the first CSI feedback from UE 115-b) and the feedback channel quality.

[0146] In some examples, UE 115-b may send a compressed CSI feedback message in a frequency band different from the frequency band in which the CSI-RS was received. For example, UE 115-b may send a compressed CSI feedback message at a frequency higher, lower, or the same as the frequency in which the CSI-RS was received. Network entity 105-b may decode the compressed CSI feedback message based on receiving the compressed CSI feedback message. Thus, network entity 105-b may decode the compressed CSI and use the decoded compressed CSI to obtain measurements of the CSI-RS made by UE 115-b.

[0147] At 325, the network entity 105-b may fuse or combine the compressed CSI and SRS estimates to recover the CSI of the CSI-RS measured by the UE 115-b. The network entity 105-b may fuse the compressed CSI and SRS estimates based on the compressed CSI feedback message. For example, the network entity 105-a may decode the compressed CSI by applying a decoding scheme to the compressed CSI and SRS estimates indicated by the compressed CSI feedback message. The decoding scheme may combine fine data bits extracted from the compressed CSI feedback message with other data bits extracted from the SRS estimates to generate and recover the CSI previously observed by the UE 115-b based on the CSI-RS received at 315.

[0148] At 330, the network entity 105-b may send downlink data, and the UE 115-b may receive the downlink data. The network entity 105-b may beamform or precode the downlink data based on the recovered CSI previously generated based on the channel estimate of the SRS and the compressed CSI. For example, the downlink data, the grant for scheduling the downlink data, or both may be quasi-co-located with the CSI-RS or with the compressed CSI feedback message, or both. For example, it may be assumed that the downlink control channel carrying the grant is quasi-co-located with respect to the beamformed CSI-RS channel estimate from the UE side. Additionally or alternatively, it may be assumed that the downlink data is quasi-co-located with respect to the beamformed CSI-RS channel estimate from the UE side.

[0149] Figure 4 An example of a process flow 400 for supporting CLICT and utilizing enhancements for distributed source decoding according to one or more aspects of the present disclosure is illustrated. The process flow 400 may be implemented by a UE 115-c or a network entity 105-c or both, which may be as described in reference to Figure 1 and Figure 2 1 and 105. In some cases, some of the processes or signaling of process flow 400 may be similar to those of UE 115 and network entity 105. Figure 4 Additionally or alternatively, some additional processes or signaling not shown may occur, or some processes or signaling shown may not occur, or both.

[0150] At 405, the UE 115-c may send an SRS, and the network entity 105-c may receive the SRS. At 410, the network entity 105-c may measure the SRS to determine a channel estimate. For example, the network entity 105-c may measure the SRS, and the network entity 105-c may generate an SRS estimate or a channel estimate of the SRS based on measuring the SRS. The channel estimate of the SRS may include estimation information associated with the channel, such as channel quality, precoding information, rank information, layer information, or any combination thereof. The network entity 105-c may determine the CSI based on the measurement of the SRS. The CSI determined based on the SRS estimate may include noisy data bits and finer data bits containing minimal noise. Based on the SRS estimate, the network entity 105-c may form or select an initial beam to send the CSI-RS to the UE 115-c.

[0151] At 415, the network entity 105-c may transmit the CSI-RS and the UE 115-b may receive the CSI-RS. The CSI-RS may be beamformed based on a channel estimate of the SRS. For example, based on an initial SRS estimate, the network entity 105-c may form a beam to transmit the CSI-RS to the UE 115-c.

[0152] At 420, the network entity 105-c may send an indication of a predicted CSI-RS estimate, and the UE 115-c may receive the indication of the predicted CSI-RS estimate. The predicted CSI-RS estimate may correspond to an expected or predicted CSI-RS estimate at the UE side as determined (e.g., estimated or predicted) by the network entity 105-c. For example, the network entity 105-c may indicate a channel or CSI-RS estimate that the network entity 105-c expects to see from the perspective of the UE 115-c. In some examples, the predicted CSI-RS estimate may be based on a channel estimate of the SRS (or based on previous CSI feedback). For example, the network entity 105-c may generate the predicted CSI-RS estimate based on measurements initially made by the network entity 105-c when the SRS was received at 405.

[0153] In some cases, the predicted or expected CSI-RS estimate may be signaled via RRC signaling, DCI, some other type of signaling, or any combination thereof. Additionally or alternatively, the predicted or expected CSI-RS estimate may be predetermined or indicated in a wireless specification set by a standards organization. For example, the predicted CSI-RS estimate may be implicitly indicated based on a beamformed channel, which is expected to be a given matrix (e.g., an identity matrix) that may be communicated or indicated between the UE 115-c and the network entity 105-c. In some examples, the predicted or expected CSI-RS estimate or a portion of the estimate (such as a magnitude) may be signaled for a wideband or for each subband.

[0154] At 425, the UE 115-c may send a feedback message, and the network entity 105-c may receive the feedback message. The feedback message may indicate a difference between the predicted CSI-RS estimate and the CSI-RS estimate observed by the UE 115-c. That is, the feedback message may indicate an error in the predicted CSI-RS estimate relative to the CSI-RS estimate actually observed by the UE 115-c.

[0155] In some examples, a difference between a predicted CSI-RS estimate and a CSI-RS estimate observed by UE 115-c may be indicated based on a non-uniform codebook. The non-uniform codebook may be centered on an expected or predicted CSI-RS estimate. For example, the non-uniform codebook may use an expected or predicted CSI-RS estimate for the non-uniform codebook, where the predicted CSI-RS estimate is considered to be an identity matrix for the non-uniform codebook.

[0156] At 430, the network entity 105-c may apply a correction to the channel so that the network entity 105-c may obtain a more accurate channel estimate, wherein the applied correction may be based on the CSI feedback from the UE 115-c. For example, the network entity 105-a may refine the predicted CSI-RS estimate based on the indicated difference between the predicted CSI-RS estimate and the CSI-RS estimate observed by the UE 115-c.

[0157] At 435, the network entity 105-c may send downlink data, and the UE 115-c may receive the downlink data. The network entity 105-c may beamform or precode the downlink data based on the CSI generated from the channel estimate of the SRS and the difference between the predicted CSI-RS estimate and the CSI-RS estimate observed by the UE 115-c. For example, the downlink data may be quasi-co-located with respect to the beamformed CSI-RS channel estimate from the UE 115-c (e.g., and the UE 115-c may assume that the downlink data is quasi-co-located with respect to the beamformed CSI-RS channel estimate from the UE 115-c).

[0158] Figure 5 A block diagram 500 of a device 505 supporting CLICT and enhancements utilizing distributed source decoding according to one or more aspects of the present disclosure is shown. The device 505 may be an example of aspects of a UE 115 as described herein. The device 505 may include a receiver 510, a transmitter 515, and a communication manager 520. The device 505 may also include a processor. Each of these components may communicate with each other (e.g., via one or more buses).

[0159] Receiver 510 may provide means for receiving information associated with various information channels (e.g., control channels, data channels, information channels related to CLICT and enhancements using distributed source coding), such as packets, user data, control information, or any combination thereof. The information may be communicated to other components of device 505. Receiver 510 may utilize a single antenna or a collection of multiple antennas.

[0160] The transmitter 515 may provide means for transmitting signals generated by other components of the device 505. For example, the transmitter 515 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 CLICT and enhancements using distributed source coding). In some examples, the transmitter 515 may be co-located with the receiver 510 in a transceiver module. The transmitter 515 may utilize a single antenna or a collection of multiple antennas.

[0161] The communication manager 520, the receiver 510, the transmitter 515, or various combinations thereof or various components thereof may be examples of means for performing various aspects of CLICT and enhancements utilizing distributed source decoding as described herein. For example, the communication manager 520, the receiver 510, the transmitter 515, or various combinations thereof or components thereof may support methods for performing one or more of the functions described herein.

[0162] In some examples, the communication manager 520, the receiver 510, the transmitter 515, 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 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, discrete hardware components, or any combination thereof that is configured as or otherwise supports means for performing the functions described in the present 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).

[0163] Additionally or alternatively, in some examples, the communication manager 520, the receiver 510, the 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, the receiver 510, the 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 functionality described in the present disclosure), a DSP, a CPU, an ASIC, an FPGA, a microcontroller, or any combination of these or other programmable logic devices.

[0164] In some examples, communication manager 520 may be configured to perform various operations (e.g., receive, obtain, monitor, output, send) using or otherwise cooperating with receiver 510, transmitter 515, or both. For example, communication manager 520 may receive information from receiver 510, transmit information to transmitter 515, or be integrated in conjunction with receiver 510, transmitter 515, or both to obtain information, output information, or perform various other operations as described herein.

[0165] According to examples as disclosed herein, the communication manager 520 may support wireless communications at a UE. For example, the communication manager 520 may be configured to or otherwise support a component for receiving a CSI-RS from a network entity, the CSI-RS being beamformed based on a channel estimate of an SRS sent from the UE, or a previous CSI feedback sent from the UE based on a previous CSI-RS, or both. The communication manager 520 may be configured to or otherwise support a component for sending a feedback message including compressed CSI generated based on encoding a measurement of the CSI-RS.

[0166] Additionally or alternatively, according to examples as disclosed herein, the communication manager 520 may support wireless communications at the UE. For example, the communication manager 520 may be configured to or otherwise support a component for sending an SRS to a network entity. The communication manager 520 may be configured to or otherwise support a component for receiving a CSI-RS from the network entity, the CSI-RS being beamformed based on a channel estimate generated based on the SRS. The communication manager 520 may be configured to or otherwise support a component for receiving an indication of a predicted CSI-RS estimate for the UE from the network entity. The communication manager 520 may be configured to or otherwise support a component for sending a feedback message indicating a difference between the predicted CSI-RS estimate and the CSI-RS estimate observed by the UE.

[0167] By including or configuring the communication manager 520 according to the examples described herein, the device 505 (e.g., a processor controlling or otherwise coupled to the receiver 510, the transmitter 515, the communication manager 520, or a combination thereof) may support techniques for more efficiently utilizing communication resources by using compressed CSI. Compressed CSI may require less overhead than sending high-precision CSI, but the network entity may be able to recover the high-precision CSI from the compressed CSI and other channel estimates (e.g., channel estimates for the SRS or previous CSI feedback for previous CSI-RS).

[0168] Figure 6 A block diagram 600 of a device 605 supporting CLICT and enhancements utilizing distributed source decoding according to one or more aspects of the present disclosure is shown. The device 605 may be an example of aspects of the device 505 or UE 115 as described herein. The device 605 may include a receiver 610, a transmitter 615, and a communication manager 620. The device 605 may also include a processor. Each of these components may communicate with each other (e.g., via one or more buses).

[0169] Receiver 610 may provide means for receiving information associated with various information channels (e.g., control channels, data channels, information channels related to CLICT and enhancements using distributed source coding), such as packets, user data, control information, or any combination thereof. The information may be communicated to other components of device 605. Receiver 610 may utilize a single antenna or a collection of multiple antennas.

[0170] The transmitter 615 may provide means for transmitting signals generated by other components of the device 605. For example, the 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 CLICT and enhancements using distributed source coding). In some examples, the transmitter 615 may be co-located with the receiver 610 in a transceiver module. The transmitter 615 may utilize a single antenna or a collection of multiple antennas.

[0171] The device 605 or its various components may be examples of components for performing various aspects of CLICT and enhancements using distributed source decoding as described herein. For example, the communication manager 620 may include a beamformed CSI-RS receiving component 625, a compressed CSI feedback component 630, an SRS transmitting component 635, a CSI-RS estimation prediction component 640, an estimation difference indication component 645, or any combination thereof. The communication manager 620 may be an example of various aspects of the communication manager 520 as described herein. In some examples, the communication manager 620 or its various components may be configured to use or otherwise cooperate with the receiver 610, the transmitter 615, or both to perform various operations (e.g., receive, obtain, monitor, output, send). For example, the communication manager 620 may receive information from the receiver 610, transmit information to the transmitter 615, or integrate with the receiver 610, the transmitter 615, or both to obtain information, output information, or perform various other operations as described herein.

[0172] According to examples as disclosed herein, the communication manager 620 can support wireless communications at a UE. A beamformed CSI-RS receiving component 625 can be configured to or otherwise support means for receiving a CSI-RS from a network entity, the CSI-RS being beamformed based on a channel estimate of an SRS sent from the UE, or a previous CSI feedback sent from the UE based on a previous CSI-RS, or both. A compressed CSI feedback component 630 can be configured to or otherwise support means for sending a feedback message including compressed CSI generated based on encoding a measurement of the CSI-RS.

[0173] Additionally or alternatively, according to examples as disclosed herein, the communication manager 620 may support wireless communications at the UE. The SRS transmission component 635 may be configured to or otherwise support a component for transmitting an SRS to a network entity. The beamformed CSI-RS reception component 625 may be configured to or otherwise support a component for receiving a CSI-RS from the network entity and beamformed, the CSI-RS being beamformed based on a channel estimate generated according to the SRS. The CSI-RS estimate prediction component 640 may be configured to or otherwise support a component for receiving an indication of a predicted CSI-RS estimate for the UE from the network entity. The estimate difference indication component 645 may be configured to or otherwise support a component for sending a feedback message indicating a difference between the predicted CSI-RS estimate and the CSI-RS estimate observed by the UE.

[0174] Figure 7A block diagram 700 of a communication manager 720 supporting CLICT and enhancements with distributed source decoding is shown according to one or more aspects of the present disclosure. The communication manager 720 may 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 may be examples of components for performing various aspects of CLICT and enhancements with distributed source decoding as described herein. For example, the communication manager 720 may include a beamformed CSI-RS receiving component 725, a compressed CSI feedback component 730, an SRS transmitting component 735, a CSI-RS estimation prediction component 740, an estimation difference indication component 745, a data receiving component 750, a capability component 755, a compressed CSI encoding component 760, or any combination thereof. Each of these components may communicate with each other directly or indirectly (e.g., via one or more buses).

[0175] According to examples as disclosed herein, the communication manager 720 can support wireless communications at a UE. The beamformed CSI-RS receiving component 725 can be configured to or otherwise support means for receiving a CSI-RS from a network entity, the CSI-RS being beamformed based on a channel estimate of an SRS sent from the UE, or a previous CSI feedback sent from the UE based on a previous CSI-RS, or both. The compressed CSI feedback component 730 can be configured to or otherwise support means for sending a feedback message including compressed CSI generated based on encoding a measurement of the CSI-RS.

[0176] In some examples, to support sending the feedback message, the compressed CSI feedback component 730 may be configured to or otherwise support components for sending the feedback message including the compressed CSI, wherein the granularity or amount of feedback in the compressed CSI is based on a statistical dependency between the predicted CSI-RS estimate at the network entity and the measurement of the CSI-RS.

[0177] In some examples, to support sending the feedback message, the compressed CSI feedback component 730 may be configured as or otherwise support a component for receiving an indication of the granularity, amount, or both of the feedback in the compressed CSI from the network entity, wherein the CSI compression rate is based on the relevance of the CSI to the SRS, the quality of the CSI-RS, the capacity of the feedback channel containing the feedback message, or a combination thereof.

[0178] In some examples, the data receiving component 750 may be configured to or otherwise support components for receiving downlink data, the downlink data being beamformed based on the CSI generated based on the channel estimate of the SRS and the compressed CSI, wherein the downlink data is assumed to be quasi-co-located with the feedback message.

[0179] In some examples, capability component 755 may be configured or otherwise support means for sending a message indicating the ability to encode CSI-RS measurements.

[0180] In some examples, to support sending the feedback message, compressed CSI feedback component 730 may be configured or otherwise support means for sending the feedback message in a frequency band different from the frequency band in which the CSI-RS was received.

[0181] In some examples, the data receiving component 750 may be configured to or otherwise support means for receiving a grant for scheduling downlink data, wherein a downlink control channel carrying the grant is quasi-co-located with the previous CSI-RS, the predicted CSI-RS estimate, or both. In some examples, the data receiving component 750 may be configured to or otherwise support means for monitoring the downlink data, the downlink data being beamformed based on the CSI generated from the channel estimate of the SRS and the compressed CSI.

[0182] In some examples, to support encoding the measurement of the CSI-RS, the compressed CSI encoding component 760 may be configured as or otherwise support components for applying a coding scheme to the measurement of the CSI-RS to generate the compressed CSI based on an assumed predicted CSI-RS estimate at the network entity.

[0183] In some examples, the encoding scheme is a syndrome-based encoding scheme.

[0184] In some examples, the compressed CSI encoding component 760 may be configured as or otherwise support a component for receiving control signaling indicating a coding scheme for encoding the measurement of the CSI-RS at a corresponding compression granularity, a corresponding data rate, or both for use in the feedback message.

[0185] In some examples, the compressed CSI and the channel estimate of the SRS each include different portions of information associated with the estimated channel observed at the UE.

[0186] Additionally or alternatively, according to examples as disclosed herein, the communication manager 720 may support wireless communications at the UE. The SRS transmission component 735 may be configured to or otherwise support a component for sending an SRS to a network entity. In some examples, the beamformed CSI-RS reception component 725 may be configured to or otherwise support a component for receiving a CSI-RS from the network entity, the CSI-RS being beamformed based on a channel estimate generated according to the SRS. The CSI-RS estimate prediction component 740 may be configured to or otherwise support a component for receiving an indication of a predicted CSI-RS estimate for the UE from the network entity. The estimate difference indication component 745 may be configured to or otherwise support a component for sending a feedback message indicating the difference between the predicted CSI-RS estimate and the CSI-RS estimate observed by the UE.

[0187] In some examples, to support receiving the indication of the predicted CSI-RS estimate, the CSI-RS estimate prediction component 740 may be configured as or otherwise support means for receiving the indication of the predicted CSI-RS estimate via RRC, downlink control information, or both.

[0188] In some examples, to support receiving the indication of the predicted CSI-RS estimate, the CSI-RS estimate prediction component 740 may be configured as or otherwise support components for receiving the indication of the predicted CSI-RS estimate, a portion of the CSI-RS estimate, or both via a wideband, one or more subbands, or both.

[0189] In some examples, the difference between the predicted CSI-RS estimate and the CSI-RS estimate observed by the UE is indicated according to a non-uniform codebook centered on the predicted CSI-RS estimate, the non-uniform codebook being associated with a codebook granularity, a feedback data rate, or both.

[0190] In some examples, the codebook granularity, the feedback data rate, or both are based on statistical dependencies of: the CSI-RS estimate, the channel estimate generated based on the SRS, previous CSI feedback sent from the UE based on previous CSI-RS, or a combination thereof.

[0191] In some examples, the data receiving component 750 may be configured as or otherwise support components for receiving downlink data, the downlink data being beamformed based on: CSI generated based on the channel estimate of the SRS, previous CSI feedback sent from the UE based on a previous CSI-RS, or both, and the difference between the predicted CSI-RS estimate and the CSI-RS estimate observed by the UE, wherein the downlink data is quasi-co-located with the previous CSI-RS, the predicted CSI-RS estimate, or both.

[0192] In some examples, to support sending the feedback message, the estimation difference indicating component 745 can be configured or otherwise support means for sending the feedback message in a frequency band different from the frequency band in which the CSI-RS was received.

[0193] In some examples, the data receiving component 750 may be configured to or otherwise support means for receiving a grant for scheduling downlink data. In some examples, the data receiving component 750 may be configured to or otherwise support means for monitoring the downlink data, the downlink data being beamformed based on the CSI generated from the channel estimate of the SRS and the difference between the predicted CSI-RS estimate and the CSI-RS estimate observed by the UE.

[0194] In some examples, the indication of the predicted CSI-RS estimate is based on the channel estimate of the SRS, previous CSI feedback sent from the UE based on previous CSI-RS, or both.

[0195] Figure 8 A diagram of a system 800 is shown that includes a device 805 that supports CLICT and enhancements utilizing distributed source decoding in accordance with one or more aspects of the present disclosure. The device 805 may be an example of a device 505, a device 605, or a UE 115 as described herein, or include components of these devices. The device 805 may communicate (e.g., wirelessly) with one or more network entities 105, one or more UEs 115, or any combination thereof. The device 805 may include components for two-way voice and data communications, 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, a memory 830, a code 835, and a processor 840. These components may be in electronic communication or otherwise coupled (e.g., operatively, communicatively, functionally, electronically, electrically) via one or more buses (e.g., a bus 845).

[0196] I / O controller 810 can manage input and output signals of 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 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.

[0197] 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, a wired link, or a wireless link 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 one or more antennas 825 for transmission, and for demodulating packets received from one or more antennas 825. The transceiver 815, or the transceiver 815 and one or more antennas 825 may be examples of transmitters 515, transmitters 615, receivers 510, receivers 610, or any combination thereof or any components thereof as described herein.

[0198] 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 various functions described herein. The code 835 may be stored in a non-transitory computer-readable medium such as a 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 the computer to perform the functions described herein. In some cases, the memory 830 may include, 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.

[0199] 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, a discrete gate or transistor logic component, a discrete hardware component, 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., a memory 830) so that the device 805 performs various functions (e.g., supporting CLICT and various functions or tasks enhanced by using distributed source decoding). For example, the device 805 or a component of the device 805 may include a processor 840 and a memory 830 coupled to or coupled to the processor 840, and the processor 840 and the memory 830 are configured to perform the various functions described herein.

[0200] According to examples as disclosed herein, the communication manager 820 may support wireless communications at a UE. For example, the communication manager 820 may be configured to or otherwise support means for receiving a CSI-RS from a network entity, the CSI-RS being beamformed based on a channel estimate of an SRS sent from the UE, or based on previous CSI feedback sent from the UE based on previous CSI-RS, or both. The communication manager 820 may be configured to or otherwise support means for sending a feedback message including compressed CSI generated based on encoding a measurement of the CSI-RS.

[0201] Additionally or alternatively, according to examples as disclosed herein, the communication manager 820 may support wireless communications at the UE. For example, the communication manager 820 may be configured to or otherwise support a component for sending an SRS to a network entity. The communication manager 820 may be configured to or otherwise support a component for receiving a CSI-RS from the network entity, the CSI-RS being beamformed based on a channel estimate generated based on the SRS. The communication manager 820 may be configured to or otherwise support a component for receiving an indication of a predicted CSI-RS estimate for the UE from the network entity. The communication manager 820 may be configured to or otherwise support a component for sending a feedback message indicating a difference between the predicted CSI-RS estimate and the CSI-RS estimate observed by the UE.

[0202] By including or configuring the communication manager 820 according to the examples described herein, the device 805 can support techniques for more efficiently utilizing communication resources based on reporting compressed CSI. For example, reporting compressed CSI by the UE 115 can require less overhead than sending high-precision CSI because the compressed CSI may not include all the information of the high-precision CSI. However, the network entity may still be able to recover the high-precision CSI from the compressed CSI and other channel estimates (e.g., channel estimates of the SRS or previous CSI feedback for previous CSI-RS).

[0203] In some examples, the communication manager 820 may be configured to perform various operations (e.g., receive, monitor, transmit) using or otherwise cooperating 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 may be supported or performed by the processor 840, the memory 830, the code 835, or any combination thereof. For example, the code 835 may include instructions that are executable by the processor 840 to cause the device 805 to perform various aspects of CLICT and enhancements using distributed source decoding as described herein, or the processor 840 and the memory 830 may be otherwise configured to perform or support such operations.

[0204] Fig. 9 A block diagram 900 of a device 905 supporting CLICT and enhancements utilizing distributed source decoding according to one or more aspects of the present disclosure is shown. The device 905 may be an example of aspects of the network entity 105 as described herein. The device 905 may include a receiver 910, a transmitter 915, and a communication manager 920. The device 905 may also include a processor. Each of these components may communicate with each other (e.g., via one or more buses).

[0205] The 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 the device 905. In some examples, the receiver 910 may support obtaining information by receiving signals via one or more antennas. Additionally or alternatively, the receiver 910 may support obtaining information by receiving signals via one or more wired (e.g., electrical, optical fiber) interfaces, wireless interfaces, or any combination thereof.

[0206] The transmitter 915 may provide means for outputting (e.g., sending, providing, conveying, transmitting) information generated by other components of the device 905. For example, the 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, the transmitter 915 may support outputting information by sending signals via one or more antennas. Additionally or alternatively, the transmitter 915 may support outputting information by sending signals via one or more wired (e.g., electrical, optical fiber) interfaces, wireless interfaces, or any combination thereof. In some examples, the transmitter 915 and the receiver 910 may be co-located in a transceiver, which may include a modem or be coupled to a modem.

[0207] The communication manager 920, the receiver 910, the transmitter 915, or various combinations thereof, or various components thereof, may be examples of means for performing various aspects of CLICT and enhancements utilizing distributed source decoding as described herein. For example, the communication manager 920, the receiver 910, the transmitter 915, or various combinations thereof, or components thereof, may support methods for performing one or more of the functions described herein.

[0208] 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, discrete hardware components, or any combination thereof configured as or otherwise supporting means for performing the functions described in the present disclosure. In some examples, a 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).

[0209] Additionally or alternatively, in some examples, the communication manager 920, the receiver 910, the 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, the receiver 910, the 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 functionality described in the present disclosure), a DSP, a CPU, an ASIC, an FPGA, a microcontroller, or any combination of these or other programmable logic devices.

[0210] In some examples, the communication manager 920 may 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 may receive information from the receiver 910, transmit information to the transmitter 915, or be integrated in conjunction with the receiver 910, the transmitter 915, or both to obtain information, output information, or perform various other operations as described herein.

[0211] According to examples as disclosed herein, the communication manager 920 may support wireless communications at a network entity. For example, the communication manager 920 may be configured to or otherwise support a component for sending a CSI-RS to a UE, the CSI-RS being beamformed based on a channel estimate of an SRS received from the UE, or a previous CSI feedback received from the UE based on a previous CSI-RS, or both. The communication manager 920 may be configured to or otherwise support a component for receiving a feedback message including compressed CSI generated based on encoding a measurement of the CSI-RS by the UE.

[0212] For example, the communications manager 920 may be configured or otherwise support means for receiving an SRS from a UE. The communications manager 920 may be configured or otherwise support means for sending a CSI-RS that is beamformed based on a channel estimate generated from the SRS. The communications manager 920 may be configured or otherwise support means for sending an indication of a predicted CSI-RS estimate for the UE. The communications manager 920 may be configured or otherwise support means for receiving a feedback message indicating a difference between the predicted CSI-RS estimate and a CSI-RS estimate observed by the UE.

[0213] By including or configuring the communication manager 920 according to the examples described herein, the device 905 (e.g., a processor that controls or otherwise couples with the receiver 910, the transmitter 915, the communication manager 920, or a combination thereof) may support techniques for more efficiently utilizing communication resources based on reporting compressed CSI. For example, reporting compressed CSI by the UE 115 may require less overhead than sending high-precision CSI because the compressed CSI may not include all of the information of the high-precision CSI. However, the network entity may still be able to recover the high-precision CSI from the compressed CSI and other channel estimates (e.g., channel estimates for the SRS or previous CSI feedback for previous CSI-RS).

[0214] Fig.10A block diagram 1000 of a device 1005 supporting CLICT and enhancements utilizing distributed source decoding according to one or more aspects of the present disclosure is shown. The device 1005 may be an example of aspects of the device 905 or network entity 105 as described herein. The device 1005 may include a receiver 1010, a transmitter 1015, and a communication manager 1020. The device 1005 may also include a processor. Each of these components may communicate with each other (e.g., via one or more buses).

[0215] 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 fiber) interfaces, wireless interfaces, or any combination thereof.

[0216] The transmitter 1015 may provide means for outputting (e.g., sending, providing, conveying, transmitting) information generated by other components of the device 1005. For example, the 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, the transmitter 1015 may support outputting information by sending signals via one or more antennas. Additionally or alternatively, the transmitter 1015 may support outputting information by sending signals via one or more wired (e.g., electrical, optical fiber) interfaces, wireless interfaces, or any combination thereof. In some examples, the transmitter 1015 and the receiver 1010 may be co-located in a transceiver, which may include a modem or be coupled to a modem.

[0217] The device 1005 or its various components may be examples of components for performing various aspects of CLICT and enhancements using distributed source decoding as described herein. For example, the communication manager 1020 may include a beamformed CSI-RS component 1025, a compressed CSI feedback receiving component 1030, an SRS receiving component 1035, a CSI-RS estimation prediction component 1040, or any combination thereof. The communication manager 1020 may be an example of various aspects of the communication manager 920 as described herein. In some examples, the communication manager 1020 or its various components may be configured to use or otherwise cooperate with the receiver 1010, the transmitter 1015, or both to perform various operations (e.g., receive, obtain, monitor, output, send). For example, the communication manager 1020 may receive information from the receiver 1010, transmit information to the transmitter 1015, or integrate with the receiver 1010, the transmitter 1015, or both to obtain information, output information, or perform various other operations as described herein.

[0218] According to examples as disclosed herein, the communication manager 1020 can support wireless communications at a network entity. The beamformed CSI-RS component 1025 can be configured to or otherwise support means for sending a CSI-RS to a UE, the CSI-RS being beamformed based on a channel estimate of an SRS received from the UE, or a previous CSI feedback received from the UE based on a previous CSI-RS, or both. The compressed CSI feedback receiving component 1030 can be configured to or otherwise support means for receiving a feedback message including compressed CSI generated based on encoding a measurement of the CSI-RS by the UE.

[0219] The SRS receiving component 1035 may be configured to or otherwise support means for receiving an SRS from a UE. The beamformed CSI-RS component 1025 may be configured to or otherwise support means for sending a CSI-RS that is beamformed based on a channel estimate generated from the SRS. The CSI-RS estimate prediction component 1040 may be configured to or otherwise support means for sending an indication of a predicted CSI-RS estimate for the UE. The compressed CSI feedback receiving component 1030 may be configured to or otherwise support means for receiving a feedback message indicating a difference between the predicted CSI-RS estimate and a CSI-RS estimate observed by the UE.

[0220] Fig.11A block diagram 1100 of a communication manager 1120 supporting CLICT and enhancements with distributed source decoding is shown in accordance with one or more aspects of the present disclosure. The communication manager 1120 may be an example of aspects of the communication manager 920, the communication manager 1020, or both as described herein. The communication manager 1120 or its various components may be examples of means for performing various aspects of CLICT and enhancements with distributed source decoding as described herein. For example, the communication manager 1120 may include a beamformed CSI-RS component 1125, a compressed CSI feedback receiving component 1130, an SRS receiving component 1135, a CSI-RS estimation prediction component 1140, a beamformed data component 1145, a capability receiving component 1150, a compressed CSI decoding component 1155, or any combination thereof. Each of these components may communicate with each other directly or indirectly (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.

[0221] According to examples as disclosed herein, the communication manager 1120 can support wireless communications at a network entity. The beamformed CSI-RS component 1125 can be configured to or otherwise support means for sending a CSI-RS to a UE, the CSI-RS being beamformed based on a channel estimate of an SRS received from the UE, or a previous CSI feedback received from the UE based on a previous CSI-RS, or both. The compressed CSI feedback receiving component 1130 can be configured to or otherwise support means for receiving a feedback message including compressed CSI generated based on encoding a measurement of the CSI-RS by the UE.

[0222] In some examples, to support receiving the feedback message, the compressed CSI feedback receiving component 1130 may be configured to or otherwise support a component for receiving the feedback message including the compressed CSI, wherein the granularity or amount of feedback in the compressed CSI is based on a statistical dependency between the predicted CSI-RS estimate at the network entity and the measurement of the CSI-RS.

[0223] In some examples, the beamformed data component 1145 may be configured or otherwise support means for transmitting downlink data that is beamformed based on the CSI generated from the channel estimate of the SRS and the compressed CSI.

[0224] In some examples, the beamformed data component 1145 may be configured as or otherwise support a component for sending a grant for scheduled downlink data, the downlink data including the downlink data beamformed based on the channel estimate based on the SRS and the CSI generated by the compressed CSI.

[0225] In some examples, capability receiving component 1150 may be configured or otherwise support means for receiving a message indicating an ability to encode CSI-RS measurements. In some examples, capability receiving component 1150 may be configured or otherwise support means for determining a feedback operation mode for the UE based on the message.

[0226] In some examples, to support receiving the feedback message, compressed CSI feedback receiving component 1130 may be configured or otherwise support means for receiving the feedback message in a frequency band different from a frequency band in which the CSI-RS is transmitted.

[0227] In some examples, to support receiving the feedback message including compressed CSI, the compressed CSI decoding component 1155 component may be configured as or otherwise support means for decoding the compressed CSI based on a decoding scheme to decode the measurement of the CSI-RS.

[0228] In some examples, the compressed CSI and the channel estimate of the SRS each include different portions of information associated with the measurement of the CSI-RS.

[0229] The SRS receiving component 1135 may be configured as or otherwise support a component for receiving an SRS from a UE. In some examples, the beamformed CSI-RS component 1125 may be configured as or otherwise support a component for sending a CSI-RS that is beamformed based on a channel estimate generated from the SRS. The CSI-RS estimate prediction component 1140 may be configured as or otherwise support a component for sending an indication of a predicted CSI-RS estimate for the UE. In some examples, the compressed CSI feedback receiving component 1130 may be configured as or otherwise support a component for receiving a feedback message indicating a difference between the predicted CSI-RS estimate and the CSI-RS estimate observed by the UE.

[0230] In some examples, the beamformed data component 1145 may be configured as or otherwise support components for sending downlink data, which is beamformed based on: CSI generated based on the channel estimate of the SRS, previous CSI feedback sent from the UE based on a previous CSI-RS, or both, and the difference between the predicted CSI-RS estimate and the CSI-RS estimate observed by the UE, wherein the downlink data is quasi-co-located with the previous CSI-RS, the predicted CSI-RS estimate, or both.

[0231] In some examples, to support receiving the feedback message, compressed CSI feedback receiving component 1130 may be configured or otherwise support means for receiving the feedback message in a frequency band different from a frequency band in which the CSI-RS is transmitted.

[0232] Fig.12 A diagram of a system 1200 is shown that includes a device 1205 that supports CLICT and enhancements using distributed source decoding in accordance with one or more aspects of the present disclosure. The device 1205 may be an example of a device 905, a device 1005, or a network entity 105 as described herein, or include components of these devices. The device 1205 may communicate with one or more network entities 105, one or more UEs 115, or any combination thereof, which may include communication through one or more wired interfaces, through one or more wireless interfaces, or any combination thereof. The device 1205 may include components that support output and acquisition of communications, such as a communication manager 1220, a transceiver 1210, an antenna 1215, a memory 1225, a code 1230, and a processor 1235. These components may be in electronic communication or otherwise coupled (e.g., operatively, communicatively, functionally, electronically, electrically) via one or more buses (e.g., bus 1240).

[0233] 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 (e.g., concurrently) sending or receiving wireless transmissions. The transceiver 1210 may also include a modem for modulating a signal, for providing a modulated signal for transmission (e.g., via one or more antennas 1215, via a wired transmitter), for receiving a modulated signal (e.g., from one or more antennas 1215, from a wired receiver), and for demodulating a signal. Where applicable, transceiver 1210 or transceiver 1210 and one or more antennas 1215 or wired interfaces may be examples of transmitter 915, transmitter 1015, receiver 910, receiver 1010, or any combination thereof or any components thereof as described herein. In some examples, the transceiver may be operable to support communication via one or more communication links (e.g., communication link 125, backhaul communication link 120, midhaul communication link 162, fronthaul communication link 168).

[0234] The memory 1225 may include RAM and ROM. The memory 1225 may store computer-readable, computer-executable code 1230 including instructions that, when executed by the processor 1235, cause the device 1205 to perform various functions described herein. The code 1230 may be stored in a non-transitory computer-readable medium such as a system memory or another type of memory. In some cases, the code 1230 may not be directly executable by the processor 1235, but may (e.g., when compiled and executed) cause the computer to perform the functions described herein. In some cases, the memory 1225 may include a BIOS, etc., which may control basic hardware or software operations, such as interaction with peripheral components or devices.

[0235] 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, a discrete gate or transistor logic, a discrete hardware component, 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) so that device 1205 performs various functions (e.g., supporting CLICT and utilizing enhanced functions or tasks of distributed source decoding). For example, device 1205 or a component of device 1205 may include processor 1235 and memory 1225 coupled to processor 1235, and processor 1235 and memory 1225 are configured to perform various functions described herein. Processor 1235 can 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.

[0236] In some examples, bus 1240 may support communications of a protocol layer of a protocol stack (e.g., within the protocol layer). In some examples, bus 1240 may support communications associated with a logical channel of a protocol stack (e.g., between protocol layers of the protocol stack), which may include communications performed within a component of device 1205 or between different components of device 1205 that may be co-located or located in different locations (e.g., where device 1205 may refer to a system where 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).

[0237] In some examples, communication manager 1220 may manage aspects of communications with core network 130 (e.g., via one or more wired or wireless backhaul links). For example, communication manager 1220 may manage delivery of data communications for client devices such as one or more UEs 115. In some examples, communication manager 1220 may manage communications with other network entities 105 and may include a controller or scheduler for controlling communications with UE 115 in coordination with other network entities 105. In some examples, communication manager 1220 may support an X2 interface within an LTE / LTE-A wireless communication network technology to provide communications between network entities 105.

[0238] According to examples as disclosed herein, the communication manager 1220 may support wireless communications at a network entity. For example, the communication manager 1220 may be configured to or otherwise support a component for sending a CSI-RS to a UE, the CSI-RS being beamformed based on a channel estimate of an SRS received from the UE, or a previous CSI feedback received from the UE based on a previous CSI-RS, or both. The communication manager 1220 may be configured to or otherwise support a component for receiving a feedback message including compressed CSI generated based on encoding a measurement of the CSI-RS by the UE.

[0239] For example, the communications manager 1220 may be configured or otherwise support means for receiving an SRS from a UE. The communications manager 1220 may be configured or otherwise support means for sending a CSI-RS that is beamformed based on a channel estimate generated from the SRS. The communications manager 1220 may be configured or otherwise support means for sending an indication of a predicted CSI-RS estimate for the UE. The communications manager 1220 may be configured or otherwise support means for receiving a feedback message indicating a difference between the predicted CSI-RS estimate and a CSI-RS estimate observed by the UE.

[0240] By including or configuring the communication manager 1220 according to the examples as described herein, the device 1205 may support techniques for more efficiently utilizing communication resources based on reporting compressed CSI. For example, reporting compressed CSI by the UE 115 may require less overhead than sending high-precision CSI because the compressed CSI may not include all the information of the high-precision CSI. However, the network entity may still be able to recover the high-precision CSI from the compressed CSI and other channel estimates (e.g., channel estimates of the SRS or previous CSI feedback for previous CSI-RS).

[0241] In some examples, the communication manager 1220 may be configured to perform various operations (e.g., receive, obtain, monitor, output, transmit) using or otherwise cooperating 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 may be supported or performed by the processor 1235, the memory 1225, the code 1230, the transceiver 1210, or any combination thereof. For example, the code 1230 may include instructions that are executable by the processor 1235 to cause the device 1205 to perform various aspects of CLICT and enhancements using distributed source decoding as described herein, or the processor 1235 and the memory 1225 may be otherwise configured to perform or support such operations.

[0242] Fig.13 A flowchart illustrating a method 1300 for supporting CLICT and utilizing enhancements for distributed source decoding according to one or more aspects of the present disclosure is shown. The operations of the method 1300 may be implemented by a UE or a component thereof as described herein. For example, the operations of the method 1300 may be implemented by a UE or a component thereof as described in reference to Figures 1 to 8 The UE 115 described herein may be executed. 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.

[0243] At 1305, the method may include: receiving a CSI-RS from a network entity, the CSI-RS being beamformed based on a channel estimate of an SRS sent from the UE, or a previous CSI feedback sent from the UE based on a previous CSI-RS, or both. 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 beamforming CSI-RS receiving component 725 is performed.

[0244] At 1310, the method may include sending a feedback message including compressed CSI generated based on encoding the measurement of the CSI-RS. The operations of 1310 may be performed according to examples as disclosed herein. In some examples, aspects of the operations of 1310 may be performed as described in reference to Figure 7 The compressed CSI feedback component 730 is used to perform.

[0245] Fig.14A flowchart illustrating a method 1400 for supporting CLICT and utilizing enhancements for distributed source decoding according to one or more aspects of the present disclosure is shown. The operations of the method 1400 may be implemented by a network entity or a component thereof as described herein. For example, the operations of the method 1400 may be implemented by a network entity or a 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.

[0246] At 1405, the method may include: sending a CSI-RS to a UE, the CSI-RS being beamformed based on a channel estimate of an SRS received from the UE, or a previous CSI feedback received from the UE based on a previous CSI-RS, or both. The operations of 1405 may be performed according to examples as disclosed herein. In some examples, aspects of the operations of 1405 may be performed as described in reference to Fig.11 The beamforming is performed by the CSI-RS component 1125.

[0247] At 1410, the method may include: receiving a feedback message including compressed CSI generated based on encoding the measurement of the CSI-RS by the UE. 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 as described in reference to Fig.11 The compressed CSI feedback receiving component 1130 is used for execution.

[0248] Fig.15 A flowchart illustrating a method 1500 for supporting CLICT and utilizing enhancements for distributed source decoding according to one or more aspects of the present disclosure is shown. The operations of the method 1500 may be implemented by a UE or a component thereof as described herein. For example, the operations of the method 1500 may be implemented by a UE or a component thereof as described in reference to Figures 1 to 8 The UE 115 described herein may be executed. 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.

[0249] At 1505, the method may include: sending the SRS to the network entity. The operations of 1505 may be performed according to examples as disclosed herein. In some examples, aspects of the operations of 1505 may be performed as described in reference to Figure 7 The SRS sending component 735 is used to execute.

[0250] At 1510, the method may include: receiving a CSI-RS from the network entity, the CSI-RS being beamformed based on a channel estimate generated from the SRS. 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 as described in reference to Figure 7 The beamforming CSI-RS receiving component 725 is performed.

[0251] At 1515, the method may include: receiving an indication of a predicted CSI-RS estimate for the UE from the network entity. The operations of 1515 may be performed according to examples as disclosed herein. In some examples, aspects of the operations of 1515 may be performed as described in reference to Figure 7 The CSI-RS estimation prediction component 740 is used to perform.

[0252] At 1520, the method may include sending a feedback message indicating a difference between the predicted CSI-RS estimate and the CSI-RS estimate observed by the UE. The operations of 1520 may be performed according to examples as disclosed herein. In some examples, aspects of the operations of 1520 may be performed as described in reference to Figure 7 The estimated difference instructs component 745 to execute.

[0253] Fig.16 A flowchart illustrating a method 1600 for supporting CLICT and utilizing enhancements for distributed source decoding according to one or more aspects of the present disclosure is shown. The operations of the method 1600 may be implemented by a network entity or a component thereof as described herein. For example, the operations of the method 1600 may be implemented by a network entity or a 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.

[0254] At 1605, the method may include: receiving an SRS from the UE. 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 Fig.11 The SRS receiving component 1135 is used to execute.

[0255] At 1610, the method may include: transmitting a CSI-RS, the CSI-RS being beamformed based on a channel estimate generated from the SRS. The operations of 1610 may be performed according to examples as disclosed herein. In some examples, aspects of the operations of 1610 may be performed as described in reference to Fig.11 The beamforming is performed by the CSI-RS component 1125.

[0256] At 1615, the method may include sending an indication of a predicted CSI-RS estimate for the UE. The operations of 1615 may be performed according to examples as disclosed herein. In some examples, aspects of the operations of 1615 may be performed as described in reference to Fig.11 The CSI-RS estimation prediction component 1140 is used to perform.

[0257] At 1620, the method may include: receiving a feedback message indicating a difference between the predicted CSI-RS estimate and the CSI-RS estimate observed by the UE. The operations of 1620 may be performed according to examples as disclosed herein. In some examples, aspects of the operations of 1620 may be performed as described in reference to Fig.11 The compressed CSI feedback receiving component 1130 is used for execution.

[0258] Aspect 1: A method for performing wireless communications at a UE, the method comprising: receiving a channel state information reference signal from a network entity, the channel state information reference signal being beamformed based at least in part on: a channel estimate of a sounding reference signal sent from the UE, or previous channel state information feedback sent from the UE based at least in part on a previous channel state information reference signal, or both; and sending a feedback message, the feedback message comprising compressed channel state information generated based at least in part on encoding a measurement of the channel state information reference signal.

[0259] Aspect 2: A method according to Aspect 1, wherein sending the feedback message includes: sending the feedback message including the compressed channel state information, wherein the granularity or amount of feedback in the compressed channel state information is at least partially based on the statistical dependence between the predicted channel state information reference signal estimate at the network entity and the measurement of the channel state information reference signal.

[0260] Aspect 3: According to the method of Aspect 2, the method further includes: receiving an indication of the granularity, amount, or both of the feedback in the compressed channel state information from the network entity, wherein the channel state information compression rate is at least partially based on the relevance of the channel state information to the detection reference signal, the quality of the channel state information reference signal, the capacity of the feedback channel containing the feedback message, or a combination thereof.

[0261] Aspect 4: According to the method described in any one of Aspects 1 to 3, the method further includes: receiving downlink data, the downlink data being beamformed at least in part based on channel state information generated based on the channel estimate of the detection reference signal and the compressed channel state information, wherein it is assumed that the downlink data is quasi-co-located with the feedback message.

[0262] Aspect 5: The method according to any one of aspects 1 to 4, further comprising: sending a message indicating the capability of encoding channel state information reference signal measurements.

[0263] Aspect 6: The method according to any one of aspects 1 to 5, wherein sending the feedback message further comprises: sending the feedback message in a frequency band different from a frequency band in which the channel state information reference signal is received.

[0264] Aspect 7: According to the method described in any one of Aspects 1 to 6, the method further includes: receiving a grant for scheduling downlink data, wherein a downlink control channel carrying the grant is quasi-co-located with the previous channel state information reference signal, the predicted channel state information reference signal estimate, or both; and monitoring the downlink data, wherein the downlink data is beamformed at least in part based on channel state information generated based on the channel estimate of the detection reference signal and the compressed channel state information.

[0265] Aspect 8: A method according to any one of Aspects 1 to 7, wherein encoding the measurement of the channel state information reference signal includes: applying a coding scheme to the measurement of the channel state information reference signal to generate the compressed channel state information based at least in part on a hypothetical predicted channel state information reference signal estimate at the network entity.

[0266] Aspect 9: The method according to aspect 8, wherein the encoding scheme is a syndrome-based encoding scheme.

[0267] Aspect 10: According to the method described in any one of Aspects 1 to 9, the method further includes: receiving control signaling, the control signaling indicating a coding scheme for encoding the measurement of the channel state information reference signal with a corresponding compression granularity, a corresponding data rate, or both for use in the feedback message.

[0268] Aspect 11: The method according to any one of aspects 1 to 10, wherein the compressed channel state information and the channel estimate of the sounding reference signal each include different parts of information associated with the estimated channel observed at the UE.

[0269] Aspect 12: A method for performing wireless communications at a network entity, the method comprising: sending a channel state information reference signal to a UE, wherein the channel state information reference signal is beamformed based at least in part on: a channel estimate of a sounding reference signal received from the UE, or a previous channel state information feedback received from the UE based at least in part on a previous channel state information reference signal, or both; and receiving a feedback message, the feedback message comprising compressed channel state information generated based at least in part on encoding a measurement of the channel state information reference signal by the UE.

[0270] Aspect 13: A method according to Aspect 12, wherein receiving the feedback message includes: receiving the feedback message including the compressed channel state information, wherein the granularity or amount of feedback in the compressed channel state information is at least partially based on a statistical dependence between a predicted channel state information reference signal estimate at the network entity and the measurement of the channel state information reference signal.

[0271] Aspect 14: According to the method described in any one of Aspects 12 to 13, the method further includes: sending downlink data, wherein the downlink data is beamformed at least in part based on the channel state information generated according to the channel estimation of the sounding reference signal and the compressed channel state information.

[0272] Aspect 15: According to the method described in Aspect 14, the method further includes: sending a grant for scheduling downlink data, the downlink data including the downlink data beamformed at least in part based on the channel state information generated according to the channel estimation of the sounding reference signal and the compressed channel state information.

[0273] Aspect 16: According to any one of Aspects 12 to 15, the method further includes: receiving a message indicating the ability to encode channel state information reference signal measurements; and determining a feedback operation mode for the UE based at least in part on the message.

[0274] Aspect 17: The method according to any one of aspects 12 to 16, wherein receiving the feedback message further comprises: receiving the feedback message in a frequency band different from a frequency band in which the channel state information reference signal is transmitted.

[0275] Aspect 18: A method according to any one of Aspects 12 to 17, wherein receiving the feedback message including compressed channel state information includes: decoding the compressed channel state information at least partially based on a decoding scheme to decode the measurement of the channel state information reference signal.

[0276] Aspect 19: A method for performing wireless communications at a UE, the method comprising: sending a sounding reference signal to a network entity; receiving a channel state information reference signal from the network entity, wherein the channel state information reference signal is beamformed based at least in part on a channel estimate generated based on the sounding reference signal; receiving an indication of a predicted channel state information reference signal estimate for the UE from the network entity; and sending a feedback message, the feedback message indicating a difference between the predicted channel state information reference signal estimate and the channel state information reference signal estimate observed by the UE.

[0277] Aspect 20: The method according to aspect 19, wherein receiving the indication of the predicted channel state information reference signal estimate includes: receiving the indication of the predicted channel state information reference signal estimate via RRC, downlink control information, or both.

[0278] Aspect 21: A method according to any one of Aspects 19 to 20, wherein receiving the indication of the predicted channel state information reference signal estimate includes: receiving the indication of the predicted channel state information reference signal estimate, a part of the channel state information reference signal estimate, or both via a broadband, one or more sub-bands, or both.

[0279] Aspect 22: A method according to any one of Aspects 19 to 21, wherein the difference between the predicted channel state information reference signal estimate and the channel state information reference signal estimate observed by the UE is indicated according to a non-uniform codebook centered on the predicted channel state information reference signal estimate, and the non-uniform codebook is associated with a codebook granularity, a feedback data rate, or both.

[0280] Aspect 23: A method according to Aspect 22, wherein the codebook granularity, the feedback data rate, or both are at least partially based on a statistical dependency of: the channel state information reference signal estimate, the channel estimate generated based on the sounding reference signal, a previous channel state information feedback sent from the UE based at least partially on a previous channel state information reference signal, or a combination thereof.

[0281] Aspect 24: According to the method described in any one of Aspects 19 to 23, the method further includes: receiving downlink data, the downlink data being beamformed based at least in part on: channel state information generated based on the channel estimation of the sounding reference signal, previous channel state information feedback sent from the UE based at least in part on a previous channel state information reference signal, or both, and the difference between the predicted channel state information reference signal estimate and the channel state information reference signal estimate observed by the UE, wherein the downlink data is quasi-co-located with the previous channel state information reference signal, the predicted channel state information reference signal estimate, or both.

[0282] Aspect 25: The method according to any one of aspects 19 to 24, wherein sending the feedback message further comprises: sending the feedback message in a frequency band different from a frequency band in which the channel state information reference signal is received.

[0283] Aspect 26: According to the method described in any one of Aspects 19 to 25, the method further includes: accepting a grant for scheduling downlink data; and monitoring the downlink data, wherein the downlink data is beamformed at least in part based on: the channel state information generated according to the channel estimate of the detection reference signal and the difference between the predicted channel state information reference signal estimate and the channel state information reference signal estimate observed by the UE.

[0284] Aspect 27: A method according to any one of Aspects 19 to 26, wherein the indication of the predicted channel state information reference signal estimate is at least partially based on the channel estimate of the detection reference signal, at least partially based on a previous channel state information feedback sent from the UE by a previous channel state information reference signal, or both.

[0285] Aspect 28: A method for wireless communication at a network entity, the method comprising: receiving a sounding reference signal from a UE; sending a channel state information reference signal, which is beamformed at least in part based on a channel estimate generated based on the sounding reference signal; sending an indication of a predicted channel state information reference signal estimate for the UE; and receiving a feedback message, the feedback message indicating the difference between the predicted channel state information reference signal estimate and the channel state information reference signal estimate observed by the UE.

[0286] Aspect 29: According to the method described in Aspect 28, the method further includes: sending downlink data, wherein the downlink data is beamformed at least in part based on: channel state information generated according to the channel estimation of the detection reference signal, previous channel state information feedback sent from the UE at least in part based on a previous channel state information reference signal, or both, and the difference between the predicted channel state information reference signal estimate and the channel state information reference signal estimate observed by the UE, wherein the downlink data is quasi-co-located with the previous channel state information reference signal, the predicted channel state information reference signal estimate, or both.

[0287] Aspect 30: The method according to any one of aspects 28 to 29, wherein receiving the feedback message further comprises: receiving the feedback message in a frequency band different from a frequency band in which the channel state information reference signal is transmitted.

[0288] Aspect 31: An apparatus for performing wireless communications at a UE, the apparatus comprising: a processor; a memory coupled to the processor; and instructions stored in the memory and executable by the processor to cause the apparatus to perform a method according to any one of Aspects 1 to 11.

[0289] Aspect 32: An apparatus for wireless communication at a UE, the apparatus comprising at least one means for performing the method according to any one of aspects 1 to 11.

[0290] Aspect 33: A non-transitory computer-readable medium storing a code for wireless communication at a UE, the code comprising instructions executable by a processor to perform the method according to any one of aspects 1 to 11.

[0291] Aspect 34: An apparatus for wireless communication at a network entity, the apparatus comprising: a processor; a memory coupled to the processor; and instructions stored in the memory and executable by the processor to cause the apparatus to perform a method according to any one of Aspects 12 to 18.

[0292] Aspect 35: An apparatus for wireless communication at a network entity, the apparatus comprising at least one means for performing the method according to any one of aspects 12 to 18.

[0293] Aspect 36: 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 12 to 18.

[0294] Aspect 37: An apparatus for performing wireless communications at a UE, the apparatus comprising: a processor; a memory coupled to the processor; and instructions stored in the memory and executable by the processor to cause the apparatus to perform a method according to any one of Aspects 19 to 27.

[0295] Aspect 38: An apparatus for wireless communication at a UE, the apparatus comprising at least one means for performing a method according to any one of aspects 19 to 27.

[0296] Aspect 39: A non-transitory computer-readable medium storing a code for wireless communication at a UE, the code comprising instructions executable by a processor to perform a method according to any one of aspects 19 to 27.

[0297] Aspect 40: An apparatus comprising: a processor; a memory coupled to the processor; and instructions stored in the memory and executable by the processor to cause the apparatus to perform a method according to any one of Aspects 28 to 30.

[0298] Aspect 41: An apparatus comprising at least one means for performing the method according to any one of aspects 28 to 30.

[0299] Aspect 42: A non-transitory computer-readable medium storing code, the code comprising instructions executable by a processor to perform the method according to any one of aspects 28 to 30.

[0300] 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.

[0301] Although aspects of LTE, LTE-A, LTE-A Pro, or NR systems may be described for example purposes, and LTE, LTE-A, LTE-A Pro, or NR terminology may be used in 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 described techniques 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.

[0302] The information and signals described herein may be represented using any of a variety of different technologies and methods. For example, data, instructions, commands, information, signals, bits, symbols, and chips mentioned throughout the specification may be represented by voltage, current, electromagnetic waves, magnetic fields or magnetic particles, optical fields or optical particles, or any combination thereof.

[0303] The various illustrative blocks and components described in conjunction with the disclosure herein may be implemented or performed using a general purpose processor, DSP, ASIC, CPU, FPGA or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general purpose processor may be a microprocessor, but in an alternative, the processor may be any processor, controller, microcontroller, or state machine. The 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).

[0304] 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 the one or more instructions or codes. Other examples and specific 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 any combination of these items. Features that implement the functions may also be physically located at different locations, including being distributed so that parts of the functions are implemented at different physical locations.

[0305] Computer-readable medium includes both non-transient computer storage medium and communication medium, including any medium that facilitates computer program to be transmitted from one position to another position.Non-transient storage medium can be any available medium that can be accessed by general or special-purpose computer.In an example and not limited way, non-transient computer-readable medium can include RAM, ROM, electrically erasable programmable ROM (EEPROM), flash memory, compact disc (CD) ROM or other optical disc storage, disk storage or other magnetic storage device, or can be used for carrying or storing desired program code components and can be accessed by general or special-purpose computer or general or special-purpose processor in the form of instruction or data structure Any other non-transient medium.Moreover, any connection is appropriately referred to as computer-readable medium.For example, if software is sent from website, server or other remote source using coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL) or wireless technology such as infrared, radio and microwave, then coaxial cable, fiber optic cable, twisted pair, DSL or wireless technology such as infrared, radio and microwave are included in the definition of computer-readable medium. Disks and optical disks used herein include CDs, laser optical disks, optical optical disks, digital versatile disks (DVDs), floppy disks, and Blu-ray disks. Disks can reproduce data magnetically, and optical disks can reproduce data optically using lasers. Combinations of the above are also included within the scope of computer-readable media.

[0306] As used herein (including in the claims), "or" used in a list of items (e.g., a list of items with 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 condition A and condition B without departing from the scope of the present 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."

[0307] 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. Additionally, "determining" may include receiving (e.g., receiving information), accessing (e.g., accessing data stored in a memory), etc. Additionally, "determining" may include parsing, retrieving, selecting, choosing, establishing, and other such similar actions.

[0308] 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 may apply to any of the similar components having the same first reference label regardless of the second reference label, or other subsequent reference labels.

[0309] The descriptions set forth herein in conjunction with the accompanying drawings describe example configurations and do not represent all examples that may be implemented or within the scope of the claims. The term "example" as used herein means "used as an example, instance, or illustration," rather than "preferred" or "having advantages over other examples." The specific embodiments include specific details to provide an understanding of the described technology. However, these technologies may be practiced without these specific details. In some instances, known structures and devices are shown in block diagram form to avoid obscuring the concepts of the described examples.

[0310] The description herein is provided to enable one of ordinary skill in the art to implement or use the present disclosure. Various modifications to the present disclosure will be apparent to one 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 granted the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for wireless communication at a user equipment (UE), the method comprising: receiving, from a network entity, a channel state information reference signal, the channel state information reference signal being beamformed based at least in part on a channel estimate of a sounding reference signal sent from the UE, or a previous channel state information feedback sent from the UE based at least in part on a previous channel state information reference signal, or both; and A feedback message is sent, the feedback message comprising compressed channel state information generated based at least in part on encoding a measurement of the channel state information reference signal.

2. The method according to claim 1, wherein sending the feedback message comprises: Sending the feedback message including the compressed channel state information, wherein a granularity or amount of feedback in the compressed channel state information is based at least in part on a statistical dependency between a predicted channel state information reference signal estimate at the network entity and the measurement of the channel state information reference signal.

3. The method according to claim 1, further comprising: Downlink data is received, the downlink data being beamformed based at least in part on channel state information generated from the channel estimate of the sounding reference signal and the compressed channel state information, wherein the downlink data is assumed to be quasi co-located with the feedback message.

4. The method according to claim 1, further comprising: A message is sent indicating the ability to encode channel state information reference signal measurements.

5. The method according to claim 1, wherein sending the feedback message further comprises: The feedback message is sent in a frequency band different from a frequency band in which the channel state information reference signal is received.

6. The method according to claim 1, further comprising: receiving a grant for scheduling downlink data, wherein a downlink control channel carrying the grant is quasi-co-located with the previous channel state information reference signal, the predicted channel state information reference signal estimate, or both; as well as The downlink data is monitored, the downlink data being beamformed based at least in part on channel state information generated from the channel estimate of the sounding reference signal and the compressed channel state information.

7. The method of claim 1 , wherein encoding the measurement of the channel state information reference signal comprises: A coding scheme is applied to the measurements of the channel state information reference signal to generate the compressed channel state information based at least in part on an assumed predicted channel state information reference signal estimate at the network entity. The method of claim 7 , wherein the encoding scheme is a syndrome-based encoding scheme.

9. The method according to claim 1, further comprising: Control signaling is received that indicates a coding scheme for encoding the measurement of the channel state information reference signal for the feedback message at a corresponding compression granularity, a corresponding data rate, or both.

10. The method of claim 1, wherein the compressed channel state information and the channel estimate of the sounding reference signal each comprise different portions of information associated with an estimated channel observed at the UE.

11. The method according to claim 1, further comprising: An indication of a granularity or an amount of syndrome bits or both of feedback in the compressed channel state information is received from the network entity, wherein a channel state information compression rate is based at least in part on a correlation between network-side channel estimation information and the channel state information of the sounding reference signal, a quality of the channel state information reference signal, a capacity of a feedback channel used to send the feedback message, or any combination thereof.

12. A method for wireless communication at a network entity, the method comprising: transmitting a channel state information reference signal to a user equipment (UE), the channel state information reference signal being beamformed based at least in part on a channel estimate of a sounding reference signal received from the UE, or previous channel state information feedback received from the UE based at least in part on a previous channel state information reference signal, or both; and A feedback message is received, the feedback message comprising compressed channel state information generated based at least in part on encoding a measurement of the channel state information reference signal by the UE.

13. The method of claim 12, wherein receiving the feedback message comprises: Receive the feedback message including the compressed channel state information, wherein a granularity or amount of feedback in the compressed channel state information is based at least in part on a statistical dependency between a predicted channel state information reference signal estimate at the network entity and the measurement of the channel state information reference signal.

14. The method according to claim 12, further comprising: Downlink data is transmitted, the downlink data being beamformed based at least in part on channel state information generated from the channel estimate of the sounding reference signal and the compressed channel state information.

15. The method according to claim 14, further comprising: A grant is transmitted that schedules downlink data, the downlink data comprising the downlink data beamformed based at least in part on channel state information generated from the channel estimate of the sounding reference signal and the compressed channel state information.

16. The method according to claim 12, further comprising: receiving a message indicating a capability to encode a channel state information reference signal measurement; as well as A feedback operation mode for the UE is determined based at least in part on the message.

17. The method of claim 12, wherein receiving the feedback message further comprises: The feedback message is received in a frequency band different from a frequency band in which the channel state information reference signal is transmitted.

18. The method of claim 12, wherein receiving the feedback message including compressed channel state information comprises: The compressed channel state information is decoded based at least in part on a decoding scheme to decode the measurement of the channel state information reference signal.

19. A method for wireless communication at a user equipment (UE), the method comprising: sending a sounding reference signal to a network entity; receiving, from the network entity, a channel state information reference signal, the channel state information reference signal being beamformed based at least in part on a channel estimate generated from the sounding reference signal; receiving, from the network entity, an indication of a predicted channel state information reference signal estimate for the UE; as well as A feedback message is sent, the feedback message indicating a difference between the predicted channel state information reference signal estimate and a channel state information reference signal estimate observed by the UE.

20. The method of claim 19, wherein receiving the indication of the predicted channel state information reference signal estimate comprises: The indication of the predicted channel state information reference signal estimate is received via radio resource control (RRC), downlink control information, or both.

21. The method of claim 19, wherein receiving the indication of the predicted channel state information reference signal estimate comprises: The indication of the predicted channel state information reference signal estimate, a portion of the channel state information reference signal estimate, or both is received via a wideband, one or more frequency sub-bands, or both.

22. The method of claim 19, wherein the difference between the predicted channel state information reference signal estimate and the channel state information reference signal estimate observed by the UE is indicated according to a non-uniform codebook centered around the predicted channel state information reference signal estimate, the non-uniform codebook being associated with a codebook granularity, a feedback data rate, or both.

23. The method of claim 22, wherein the codebook granularity, the feedback data rate, or both are based at least in part on a statistical dependency of: the channel state information reference signal estimate, the channel estimate generated based on the sounding reference signal, a previous channel state information feedback sent from the UE based at least in part on a previous channel state information reference signal, or a combination thereof.

24. The method of claim 19, further comprising: Receive downlink data, the downlink data being beamformed based at least in part on channel state information generated from the channel estimate of the sounding reference signal, previous channel state information feedback sent from the UE based at least in part on a previous channel state information reference signal, or both, and the difference between the predicted channel state information reference signal estimate and the channel state information reference signal estimate observed by the UE, wherein the downlink data is quasi-co-located with the previous channel state information reference signal, the predicted channel state information reference signal estimate, or both.

25. The method of claim 19, wherein sending the feedback message further comprises: The feedback message is sent in a frequency band different from a frequency band in which the channel state information reference signal is received.

26. The method of claim 19, further comprising: receiving a grant for scheduling downlink data; as well as Monitoring the downlink data, the downlink data being beamformed based at least in part on channel state information generated from the channel estimate of the sounding reference signal and the difference between the predicted channel state information reference signal estimate and the channel state information reference signal estimate observed by the UE.

27. A method according to claim 19, wherein the indication of the predicted channel state information reference signal estimate is based at least in part on the channel estimate of the sounding reference signal, at least in part on previous channel state information feedback sent from the UE by a previous channel state information reference signal, or both.

28. A method for wireless communication at a network entity, the method comprising: receiving a sounding reference signal from a user equipment (UE); transmitting a channel state information reference signal, the channel state information reference signal being beamformed based at least in part on a channel estimate generated from the sounding reference signal; sending an indication of a predicted channel state information reference signal estimate for the UE; as well as A feedback message is received, the feedback message indicating a difference between the predicted channel state information reference signal estimate and a channel state information reference signal estimate observed by the UE.

29. The method according to claim 28, further comprising: Sending downlink data, wherein the downlink data is beamformed based at least in part on: channel state information generated from the channel estimate of the sounding reference signal, previous channel state information feedback sent from the UE based at least in part on a previous channel state information reference signal, or both, and the difference between the predicted channel state information reference signal estimate and the channel state information reference signal estimate observed by the UE, wherein the downlink data is quasi-co-located with the previous channel state information reference signal, the predicted channel state information reference signal estimate, or both.

30. The method of claim 28, wherein receiving the feedback message further comprises: The feedback message is received in a frequency band different from a frequency band in which the channel state information reference signal is transmitted.

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