Abstract: Various aspects of the present disclosure relate to wireless communication. In some aspects, a client may receive a selection feedback configuration associated with a reporting procedure for reporting updates corresponding to at least one autoencoder index associated with one or more autoencoders selected by the client. The client may determine an update corresponding to the at least one autoencoder index. The client may transmit the update based at least in part on the selection feedback configuration. Numerous other aspects are provided.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first device may generate a multi-part neural network based channel state information feedback (CSF) message that comprises: a first part that indicates contents of a second part, and the second part; and transmit the multi-part neural network based CSF to a second device. Numerous other aspects are provided.

Abstract: Methods, systems, and devices for wireless communications are described. A first device and a second device may communicate via a channel. The first device may generate and transmit a reference signal, which may be a distortion probing reference signal with a high peak to average power ratio. In one implementation, the first device may use the reference signal as an input for a neural network model to learn a nonlinear response of the second device transmission components. In another implementation, the second device may sample the generated reference signal, and use the samples as inputs for a neural network model to learn the nonlinear response. The first device and the second device may exchange signaling based on learning the nonlinear response, and each device may compensate for the nonlinear response when communicating via the channel.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a client may receive a customization feature vector feedback configuration associated with a reporting procedure for reporting updates corresponding to at least one customization feature vector that is based at least in part on one or more features associated with an environment of the client. The client may determine an update corresponding to the at least one customization feature vector using a machine learning component. The client may transmit the update based at least in part on the customization feature vector feedback configuration. Numerous other aspects are provided.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first device may transmit a neural network capability indication that indicates a capability of the first device associated with training at least one channel state feedback (CSF) neural network for facilitating providing CSF. The first device may receive, based at least in part on the capability of the first device, a CSF neural network configuration that indicates at least one parameter associated with the at least one CSF neural network. Numerous other aspects are provided.

Abstract: Methods, systems, and devices for wireless communications are described. A first device and a second device may communicate via a channel. The first device may generate and transmit a reference signal, which may be a distortion probing reference signal with a high peak to average power ratio. In one implementation, the first device may use the reference signal as an input for a neural network model to learn a nonlinear response of the second device transmission components. In another implementation, the second device may sample the generated reference signal, and use the samples as inputs for a neural network model to learn the nonlinear response. The first device and the second device may exchange signaling based on learning the nonlinear response, and each device may compensate for the nonlinear response when communicating via the channel.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a client may select, based at least in part on a classifier, an autoencoder of a set of autoencoders to be used for encoding an observed wireless communication vector to generate a latent vector. The client may transmit the latent vector and an indication of the autoencoder. Numerous other aspects are provided.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first device may receive a request to report updates for one or more weights of a neural network configured for encoding channel state information feedback messages. The first device may transmit a report that indicates the updates for the one or more weights. Numerous other aspects are provided.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first device may determine that a power threshold for the first device is satisfied. The first device may transition from a first type of channel state feedback processing to a second type of channel state feedback processing based at least in part on determining that the power threshold for the first device is satisfied.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first device may receive a channel state information (CSI) feedback configuration comprising an indication to save, for a specified time period, a channel state feedback (CSF) that corresponds to a first reference signal carried on a downlink channel. The first device may transmit a differential CSF based at least in part on the CSF and a second reference signal carried on the downlink channel. Numerous other aspects are provided.

Abstract: Methods, systems, and devices for wireless communications are described. A configuration for a reference signal used to determine a non-linear behavior of transmission components at a transmitting device may be determined. The configuration for the reference signal may be determined based on signaling transmitted by the transmitting device, signaling transmitted by a device that receives the reference signal, or both. Additionally, or alternatively, the configuration for the reference signal may be determined based on a configuration of other signals transmitted by the transmitting device prior to or concurrently with the transmission of the reference signal. The determined configuration may be used to generate and transmit the reference signal or to determine a configuration of a received reference signal. In both cases, a non-linear response of transmission components at the transmitting device may be determined based on the reference signal.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first device may receive an indication to use a first number of bits to report neural network based channel state information feedback (CSF). The first device may transmit, using a second number of bits that is different from the first number of bits, a report that indicates the CSF to a second device. Numerous other aspects are provided.

Abstract: This disclosure provides methods, devices and systems for channel sounding for wireless communications. Some implementations more specifically relate to scheduling sounding reference signal (SRS) resource sets for wireless devices having more than 4 receive (RX) antenna ports. In some implementations, a base station may determine an antenna switching capability of a user equipment (UE). The antenna switching capability indicates a number of RX antenna ports of the UE. The base station schedules a number of SRS resource sets for the UE based at least in part on the number of RX antenna ports in excess of four. For example, the number of RX antenna ports may be equal to 8. As another example, the number of RX antenna ports may be equal to 6. The base station further receives, from the UE, uplink transmissions of one or more SRS resources for each of the scheduled SRS resource sets.

Abstract: Methods, systems, and devices for wireless communications are described. A configuration for a reference signal used to determine a non-linear behavior of transmission components at a transmitting device may be determined. The configuration for the reference signal may be determined based on signaling transmitted by the transmitting device, signaling transmitted by a device that receives the reference signal, or both. Additionally, or alternatively, the configuration for the reference signal may be determined based on a configuration of other signals transmitted by the transmitting device prior to or concurrently with the transmission of the reference signal. The determined configuration may be used to generate and transmit the reference signal or to determine a configuration of a received reference signal. In both cases, a non-linear response of transmission components at the transmitting device may be determined based on the reference signal.

Abstract: Certain aspects of the present disclosure provide techniques for fast adaptation of transmission properties of sounding reference signal (SRS) resource sets. A method that may be performed by a user equipment (UE) includes receiving sounding reference signal (SRS) configuration information, configuring the UE with one or more SRS resource sets, wherein each of the one or more SRS resource sets comprises one or more SRS resources; receiving signaling comprising a field indicating which of the one or more SRS resources in the one or more SRS resource sets are active and which of the one or more SRS resources in the one or more SRS resources sets are inactive; and transmitting one or more SRSs using only the one or more SRS resources that are active.

Abstract: Methods, systems, and devices for wireless communications are described. Generally, the described techniques at a user equipment (UE) provide for efficiently reporting channel state information (CSI) to a base station with an appropriate level of accuracy. In particular, the base station may indicate a level of accuracy to the UE for reporting CSI. The UE may encode the CSI using a first neural network, and the base station may decode the CSI using a second neural network. The first and second neural networks may form a neural network pair, and the UE may train the neural network pair based on the level of accuracy indicated by the base station. For example, the base station may indicate a loss function corresponding to a level of accuracy with which CSI is to be reported by the UE, and the UE may train the neural network pair using the loss function.

Abstract: Certain aspects of the present disclosure provide techniques for generating and decoding orthogonal frequency division (OFDM) waveforms with peak reduction tones (PRTs) designed to reduce PAPR. By generating PRT tones with a machine learning (e.g., neural network) based encoder and mapping some of the PRT tones to subcarriers used for physical channels or signals, PAPR may be reduced while efficiently using system resources.

Abstract: A method of wireless communication by a user equipment (UE) receives a channel state information (CSI) decoder and CSI encoder from a base station on a physical downlink control channel (PDSCH) or a media access control-control element (MAC-CE). The method also includes training the CSI decoder and CSI encoder based on observed channel and interference conditions to obtain updated decoder coefficients and updated encoder coefficients. The method further includes receiving an indication of resources for transmission of the updated encoder coefficients and updated decoder coefficients. The method includes transmitting the updated decoder coefficients and updated encoder coefficients to the base station in accordance with the indication of resources. Further, the method includes receiving an updated CSI decoder and updated CSI encoder from the base station for further training.

Abstract: This disclosure provides methods, devices and systems for channel sounding for wireless communications. Some implementations more specifically relate to scheduling sounding reference signal (SRS) resource sets for wireless devices having more than 4 receive (RX) antenna ports. In some implementations, a base station may determine an antenna switching capability of a user equipment (UE). The antenna switching capability indicates a number of RX antenna ports of the UE. The base station schedules a number of SRS resource sets for the UE based at least in part on the number of RX antenna ports in excess of four. For example, the number of RX antenna ports may be equal to 8. As another example, the number of RX antenna ports may be equal to 6. The base station further receives, from the UE, uplink transmissions of one or more SRS resources for each of the scheduled SRS resource sets.

Abstract: This disclosure provides systems, devices, apparatus and methods, including computer programs encoded on storage media, for a CSI report setting that hastens CSI feedback for SVD-based precoding. More specifically, a UE may receive a configuration from a base station for a CSI report setting for providing DL interference feedback to the base station. The configuration may include information indicating a measurement resource on which an interference measurement is performed for generating the DL interference feedback. The UE may transmit a SRS and the DL interference feedback to the base station, the DL interference feedback being independent of the SRS, such that the UE may receive pre-committed CSI-RS from the base station based on the transmitted SRS and DL interference feedback.