Abstract: Disclosed are techniques for wireless positioning. In an aspect, a base station determines a channel profile for a multipath channel between the base station and a user equipment (UE) based on at least one positioning reference signal transmitted to the UE or received from the UE by the base station on one or more radio beams, compresses the channel profile into a compressed representation of the channel profile, and transmits the compressed representation of the channel profile to a network entity. The network entity receives the compressed representation of the time-angle channel profile and determines a location of the UE based on the compressed representation of the channel profile.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive a first message indicating a first set of parameters associated with time domain resource allocation (TDRA) information for a first quantity of shared channels. The UE may receive a second message (e.g., downlink control information (DCI)) scheduling a set of shared channels, a second quantity of the set of shared channels exceeding the first quantity. The set of shared channels may include a first subset of shared channels corresponding to the first quantity, and a second subset of shared channels including additional shared channels. In addition, the UE may determine a second set of parameters for the second subset based on the first set of parameters, where the UE and a network entity may communicate the first subset using the first set of parameters and the second subset using the second set of parameters.

Abstract: This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for reporting configurations for neural network-based processing at a UE. A network entity may transmit to the UE a CSI configuration that includes one or more parameters for a neural network and one or more reference signals. The UE may measure the one or more reference signals based on the CSI configuration. A CSI may be based on the one or more parameters and the measurement of the one or more reference signals. The UE may report the CSI to the network entity based on output of the neural network.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive a wake up signal (WUS) within a WUS monitoring occasion (WMO) indicating to initiate a discontinuous reception (DRX) on-duration, a time to initiate the DRX on-duration being based at least in part on a timing of the WMO within a set of WMOs. The UE may receive a communication based at least in part on initiating the DRX on-duration at the time. Numerous other aspects are described.

Abstract: During a positioning session in which multiple location reports are provided, a user equipment (UE) that has little or no movement may provide an indication to an entity in the wireless network that there is no update for one or more location measurements. The UE may provide the indication to a serving base station in a Physical layer waveform. The base station may bypass the location server and provide an indication to an external client that the UE position has not changed. The UE may provide the indication to a location server in a location information report or by not sending a location information report by an expiration time. The indication of no update may be provided by a bit that indicates no location measurements are updated or that a particular location measurement is not updated.

Abstract: A first wireless device, such as a user equipment, generates a message indicating a processing time for at least one of training a neural network for channel state information (CSI) derivation or for reporting the CSI based on a trained neural network. The first wireless device transmits the message indicating the processing time to a second wireless device. The second wireless device may be a network entity, such as a base station, a transmission reception point, or another UE.

Abstract: Methods, systems, and devices for wireless communications are described that provide improved repetition techniques for autonomous uplink transmissions. Configuration information may be provided from a base station to a user equipment (UE) for autonomous uplink transmissions, that may indicate initial resources for an initial uplink transmission slot and retransmission resources for a number of retransmissions. Time resources within the retransmission resources may be configured to provide enhanced reliability, such as by being configured in non-contiguous slots to avoid one or more other transmission channels. Time resources within slots may also be configured to prevent persistent collisions with autonomous uplink transmissions or retransmissions of two or more different UEs.

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: 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: Disclosed are techniques for group reporting of UE receive-transmit (Rx-Tx) time difference measurements for multi-RTT positioning. A plurality of downlink reference signals (DL RSs) are received from a plurality of transmission reception points (TRPs). A corresponding plurality of uplink reference signals (UL RSs) are transmitted to the plurality of TRPs. One or more numerology factors are determined for the plurality of TRPs. A measurement report is generated for the plurality of TRPs based on the numerology factors. The measurement report is transmitted to a network entity. The measurement report includes UE receive-transmit (Rx-Tx) time difference measurements for at least two of the TRPs.

Abstract: Disclosed are techniques for wireless communication. In an aspect, a user equipment (UE) may receive, from a network entity, a request to provide an enhanced positioning measurement report comprising a positioning measurement and further comprising a report of components of a channel power delay profile (PDP), a report of a probability distribution of times of arrival (ToA), or both. The UE may determine an enhanced measurement period required by the UE to perform the enhanced positioning measurement, wherein the enhanced measurement period is longer than a standard measurement period required by the UE to perform a non-enhanced positioning measurement. The UE may perform the enhanced positioning measurement using the enhanced measurement period. The UE may provide the enhanced positioning measurement report to the network entity.

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 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: A configuration to allow a base station to be synchronized with an application server to enable the base station to align uplink transmissions of a UE with downlink reception periods of the UE. The base station communicates with a UE using periodic uplink traffic bursts and periodic downlink traffic bursts. The base station selects a time offset to at least one of uplink traffic or downlink traffic to increase an overlap between the uplink traffic bursts and the downlink traffic bursts. The base station sends the time offset to an AF.

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: 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: Methods, systems, and devices for wireless communications are described. Generally, the described techniques provide for efficiently transmitting uplink signals to a base station using shared antennas. A first device may be in communications with a base station using local antennas and may identify a second device having auxiliary antennas available for transmitting uplink signals to the base station. Because the local antennas and auxiliary antennas may have different capabilities (e.g., due to different power or other constraints), the first device may generate first uplink signals for transmission using the local antennas differently from second uplink signals for transmission using the auxiliary antennas. The first device may transmit the first uplink signals to the base station using the local antennas and transmit the second uplink signals to the second device for transmission to the base station using the auxiliary antennas based on different configurations.

Abstract: Disclosed are various techniques for wireless positioning. In an aspect, a base station calculates statistics of one or more time-angle metrics based on a signal received from a user equipment, and reports the statistics to a network entity, such as a location server, which uses the statistics to estimate a position of the UE. In some aspects, the network entity receives statistics from multiple base stations, which allows the network entity to more accurately determine the position of the UE. In some aspects, the base station reports the statistics to a network entity according to a statistics reporting configuration, which the network entity may provide to the base station.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment may receive a configuration message with a configured grant for a plurality of uplink transmissions. The user equipment may transmit, using a first demodulation reference signal port, a first transmission, of the plurality of uplink transmissions, associated with the configured grant. The user equipment may transmit, using a second demodulation reference signal port that is different from the first demodulation reference signal port, a second transmission, of the plurality of uplink transmissions, associated with the configured grant. 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.