Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may train a first set of layers of a neural network based on channel estimates using a set of resources. The UE may generate a set of weights for the first set of layers of the neural network based on the training. The UE may receive, from a first network entity, an indication of an association between a first set of signaling and a second set of signaling based on the first set of layers of the neural network. The UE may receive the second set of signaling from a second network entity and process the second set of signaling using the set of weights for the first set of layers based on the association between the first set of signaling and the second set of signaling.

Abstract: Methods, systems, and devices for wireless communications are described. A communication device, otherwise known as a user equipment (UE) may transmit capability information including an indication of a discontinuous monitoring delay period. The UE may receive a message including an indication to adjust monitoring of a physical downlink control channel (PDCCH), and monitor for the PDCCH during the discontinuous monitoring delay period. The UE may adjust monitoring for the PDCCH following the discontinuous monitoring delay period during a temporal period based on the received indication to adjust monitoring of the PDCCH. In some examples, at least one of physical downlink shared channel (PDSCH) reception, downlink reference signal monitoring, uplink reference signal transmissions, and channel reporting is enabled during the temporal period while monitoring of the PDCCH is adjusted.

Abstract: A method of reporting measurements of an uplink positioning reference signal includes: receiving, at a base station, the uplink positioning reference signal from a user equipment; determining, at the base station, a plurality of measurement values of the uplink positioning reference signal, each of the plurality of measurement values being of a same type of measurement, and corresponding to the uplink positioning reference signal; and sending, from the base station to a server, a report including the plurality of measurement values of the uplink positioning reference signal and at least one indication that the plurality of measurement values corresponds to a same uplink positioning reference signal.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a network node may communicate, based at least in part on a physical data channel configuration corresponding to a physical data channel, a first extended reality (XR) data communication corresponding to a first physical data channel occasion associated with the physical data channel configuration, wherein a first priority level is associated with the first XR data communication. The network node may communicate a second XR data communication corresponding to a second physical data channel occasion, wherein a second priority level is associated with the second XR data communication, and wherein the second priority level is higher than the first priority level based at least in part on a packet delay budget associated with the physical data channel configuration being within a specified threshold of packet delay. Numerous other aspects are described.

Abstract: Disclosed are techniques for wireless communication. In an aspect, a user equipment (UE) transmits a first signal for positioning (RS-P) (e.g., SRS, etc.) on a first link from the UE to a wireless network node (e.g., BS, UE, etc.). The UE receives, from the wireless network node, location assistance data that comprises information that indicates a line of sight (LOS) condition associated with the first link. The UE measures a second RS-P on a second link from the wireless network node to the UE that is reciprocal to the first link. The UE performs one or more positioning measurements, determines a location estimate of the UE, or both, based in part on the reception of the second RS-P on the second link and the indicated LOS condition, the indicated LOS condition associated with the second link based on link reciprocity between the first and second links.

Abstract: A user equipment (UE) receives, from a network entity, a message indicating a change in a set of downlink beams for channel state information reference signals (CSI-RSs), and a context associated with the change. The UE saves state values in an auto-encoder neural network in response to receiving the message and associates the saved state values in the auto-encoder neural network to the context in the received message. The UE also resets the state values in the auto-encoder neural network in response to receiving the message and estimates a channel state based on the CSI-RSs received on the changed set of downlink beams. The UE compresses the channel state with the auto-encoder neural network based on the reset state values and further sends to the network entity, the compressed channel state.

Abstract: Disclosed are techniques for wireless communication. In an aspect, a user equipment (UE) transmits a first signal for positioning (RS-P) (e.g., SRS, etc.) on a first link from the UE to a wireless network node (e.g., BS, UE, etc.). The UE receives, from the wireless network node, location assistance data that comprises information that indicates a line of sight (LOS) condition associated with the first link. The UE measures a second RS-P on a second link from the wireless network node to the UE that is reciprocal to the first link. The UE performs one or more positioning measurements, determines a location estimate of the UE, or both, based in part on the reception of the second RS-P on the second link and the indicated LOS condition, the indicated LOS condition associated with the second link based on link reciprocity between the first and second links.

Abstract: Methods, systems, and devices for wireless communications are described. The method may include a user equipment (UE) receiving first control information that includes a first packet data unit (PDU) set identifier (ID) associated with a set of different PDUs that collectively represent a data unit for decoding. Upon receiving the first control information, the UE may identify a PDU is a part of the set of different PDUs that corresponds to the first PDU set ID based on the first control information and determine whether to include the PDU in communications with a network entity based on the PDU being part of the set of different PDUs.

Abstract: Sounding reference signals (SRS) transmitted by a UE, e.g., for positioning or channel estimation, may be configured for one or both of frequency tone level cyclic shift and symbol level code, which, for example, enables multiplexing a greater number of UEs. The frequency tone level cyclic shift is produced by jointly processing a number of symbols with an extended cyclic shift structure. The SRS may be configured using a symbol group level that indicates the number of symbols associated with a cyclic shift structure, and an outer code that indicates a multiplier applied to the SRS at the symbol level, which increases the multiplexing opportunities. The symbol level code may further indicate an extended cyclic shift indicating a linear increase in phase rotation across tones in symbols associated with the symbol group level.

Abstract: Certain aspects of the present disclosure provide a method of wireless communications by a user equipment (UE), generally including receiving signaling of a configuration for semi-persistent scheduled (SPS) occasions for receiving physical downlink shared channels (PDSCHs), determining a number of PDSCHs to monitor for in an SPS occasion, and monitoring for PDSCHs in the SPS occasion, in accordance with the determination.

Abstract: Certain aspects of the present disclosure provide techniques for file delivery feedback and/or application feedback for certain application services. An example method generally includes communicating files with a user equipment (UE), each of the files having a plurality of packets, determining that a delivery failure occurred for at least one of the files, and sending, to a server entity, a notification of the delivery failure.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may perform a measurement operation to attain multiple measurements to report to a base station. The measurements may correspond to a first number of bits if reported. The UE may compress the measurements using an encoder neural network (NN) to obtain an encoder output indicating the measurements. This encoder output may include a second number of bits that is less than the first number of bits. The UE may report the encoder output to the base station in this compressed form. At the base station, the encoder output may be decompressed according to a decoder NN. Once the base station decompresses the encoder output, the UE and base station may communicate according to the measurements determined from the decompression. In some cases, the base station may perform load redistribution based on the measurements.

Abstract: Methods, systems, and devices for wireless communications are described. Generally, the described techniques provide for a device such as a user equipment (UE), a base station, or both, to perform a channel noise and interference estimation based on a set of null resources in a data channel. The device may identify a first configuration for a set of demodulation reference signals (DMRSs) in a first set of time periods of a data channel and a second configuration for a set of null resources in a second set of time periods of the data channel. The second set of time periods may be nonoverlapping with the first set of time periods. The device may perform a channel estimation procedure on the data channel based on the null resources and the DMRS resources. The device may process data received via resources of the data channel based on the channel estimation procedure.

Abstract: A network entity may transmit a configuration for neural network training parameters for wireless communication by the UE, and the UE may train the neural network at the UE based on the configuration received from the network entity. The network entity may transmit a training command in a wireless message to the UE, and the UE may train the neural network based on the received configuration in response to the received training command. The configuration may include a period of time associated with the training the neural network. The period of time may indicate an action for the UE to perform when the period of time expires, and/or indicate the periodicity of the neural network training.

Abstract: In an aspect, a UE obtains information (e.g., UE-specific information) associated with a set of triggering criteria (e.g., from a server, a serving network, e.g., in conjunction with or separate from a set of neural network functions) for a set of neural network functions. The UE obtains positioning measurement data associated with a location of the UE, and processes the positioning measurement data into a respective set of positioning measurement features based at least in part upon the positioning measurement data and at least one neural network function from the set of neural network functions that is triggered by at least one triggering criterion from the set of triggering criteria. The UE reports the processed set of positioning measurement features to a network component (e.g., BS, LMF, etc.).

Abstract: Sounding reference signals (SRS) transmitted by a UE, e.g., for positioning or channel estimation, may be configured for one or both of frequency tone level cyclic shift and symbol level code, which, for example, enables multiplexing a greater number of UEs. The frequency tone level cyclic shift is produced by jointly processing a number of symbols with an extended cyclic shift structure. The SRS may be configured using a symbol group level that indicates the number of symbols associated with a cyclic shift structure, and an outer code that indicates a multiplier applied to the SRS at the symbol level, which increases the multiplexing opportunities. The symbol level code may further indicate an extended cyclic shift indicating a linear increase in phase rotation across tones in symbols associated with the symbol group level.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a client may determine, using a first client autoencoder, a feature vector associated with one or more features associated with an environment of the client. The client may determine a latent vector using a second client autoencoder and based at least in part on the feature vector. The client may transmit the feature vector and the latent vector. Numerous other aspects are provided.

Abstract: Disclosed are techniques for wireless communication. In an aspect, a first network node determines at least one positioning measurement based on a channel estimate of a positioning reference signal (PRS) transmitted by a second network node, and obtains measurement error feedback for at least the at least one positioning measurement, wherein the measurement error feedback is based on an expected positioning measurement corresponding to the at least one positioning measurement, and wherein the expected positioning measurement is based on a location of the first network node and a location of the second network node.

Abstract: Various embodiments include methods performed in receiver circuitry of a wireless communication device for demodulating wireless transmission waveforms to reconstruct data tones, which may include receiving, from a transmitter, wireless transmission waveforms that includes peak reduction tones (PRTs) that were inserted by a PRT neural network in the transmitter, and demodulating the received wireless transmission waveforms using a decoder neural network that has been trained based on outputs of the transmitter to output a reconstruction of the data tones. Further embodiments include exchanging information between the transmitter and receiver circuitry to coordinate the PRT neural network used for inserting PRTs in the transmitting wireless communication device and the decoder neural network used in the receiving wireless communication device for demodulating transmission waveforms received from the transmitting wireless communication device.

Abstract: Methods, systems, and devices for wireless communications are described. In some systems, a user equipment (UE) and a network entity may support a configured grant (CG)-specific retransmission timer configuration based on a traffic type to be communicated using a given CG. For example, the network entity may indicate a CG for uplink transmissions and may indicate a retransmission timer that is specific to the CG. As such, the UE may transmit a data message in accordance with the CG and may select a time period during which to monitor a downlink control channel for control information indicating a retransmission request for the data message in accordance with a value of the retransmission timer. Additionally, or alternatively, the UE and the network entity may support a downlink-to-uplink configuration dependency for determining an uplink periodicity of a CG based on a downlink periodicity.