Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive, from a base station, a federated learning configuration indicating a recurring communication scheme such as a periodic communication scheme for communicating with the base station to facilitate federated learning associated with a machine learning component. The UE may communicate with the base station based at least in part on the federated learning configuration. Numerous other aspects are provided.

Abstract: Methods, systems, and devices for wireless communications are described. Some systems may support the transmission of a predicted negative acknowledgment (NACK) indication for a downlink data message. In some cases, a base station may transmit a downlink data message to a user equipment (UE). The UE may perform a decoding process for the message. The UE may determine whether the decoding process is likely to fail during a first portion of the decoding process prior to completion of the decoding process. The UE may transmit a predicted NACK message to the base station prior to a feedback opportunity configured for the UE to transmit feedback based on a result of the completed decoding process. The base station may determine whether to retransmit the downlink data message based on the predicted NACK message, such that the predicted NACK message may reduce the latency associated with retransmission of downlink data messages.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive, from a base station, a federated learning configuration that configures a participation indication to be used by the UE to indicate a participation status of the UE associated with at least one federated learning round corresponding to a machine learning component. The UE may transmit the participation indication to the base station based at least in part on the federated learning configuration. Numerous other aspects are described.

Abstract: A method of wireless communication by a user equipment (UE) comprises receiving, from a base station, multiple reference signals, and estimating a channel based on the received reference signals. The channel comprises multiple channel paths. The method also includes quantizing an angle of arrival (AoA) of each channel path into one of a group of quantization levels. The method further includes reporting to the base station the quantized angle of arrival, and also a delay and/or power level for the quantized angle of arrival.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive, via a sensor included within the UE, information associated with a base station. For instance, the UE may receive, via a camera included within the UE, an image of the base station. In some cases, the information associated with the base station may also include environment information identifying an antenna of the base station. The UE may then perform, based on the received information, a beam management procedure to track a UE beam corresponding to a base station beam, and communicate with the base station based on the beam management procedure.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive, from a base station, a federated learning configuration comprising an indication of a power control loop for providing an update associated with a machine learning component, wherein the power control loop facilitates receiving the update at a received power that satisfies a received power condition associated with an over-the-air update aggregation procedure. The UE may transmit the update to the base station based at least in part on the federated learning configuration. Numerous other aspects are provided.

Abstract: A method of indicating UE status includes: determining, at the UE based on at least one of sensor output information of the UE or one or more incoming wireless signals to the UE, an indoor/outdoor status of the UE; and sending an indoor/outdoor indication of the indoor/outdoor status of the UE from the UE to a network entity.

Abstract: Methods, systems, and devices for wireless communication are described to support raw channel estimation. A base station may determine a transmission pattern for a set of multiple transmit beams, where each transmit beam may be associated with a respective reference signal, and may signal the transmission pattern to a user equipment (UE). The transmission pattern may indicate one or more sets of transmit beams, where each set may include two or more transmit beams used for concurrent transmission of respective reference signals. The set of multiple transmit beams may be associated with at least two synchronization signal blocks (SSBs), and the concurrently transmitted reference signals may each be associated with a respective orthogonal cover code. The UE may monitor for concurrently transmitted reference signals based on the transmission pattern, perform associated beamformed measurements, and transmit a channel state information report to the base station.

Abstract: Aspects presented herein may enable a base station to share trained neural network from one UE to other UE(s) to improve the efficiency of a neural network training. In one aspect, a base station receives, from a first UE, one or more ML model parameters based on a first zone ID that identifies a first geographical zone, the one or more ML model parameters being associated with the first zone ID or the first geographical zone or both. The base station provides the one or more ML model parameters to a second UE based on at least one of the zone ID or the first geographical zone.

Abstract: Systems and techniques for wireless communications are described herein. For example, a process for wireless communications at a first network entity include obtaining site-specific data associated with a geographic location and adapting, at the first network entity, a machine learning model based on the site-specific data to generate an updated machine learning model for estimating or predicting of at least one characteristic associated with wireless communications between the first network entity and one or more network entities. The first network entity can experience a trigger event which causes the first network entity to transmit a request for the site-specific data. The triggering event can be based on at least one of a location of the first network entity in the geographic location or the first network entity moving to the geographic location or based on other factors such as a change in a physical characteristic of the location.

Abstract: Certain aspects of the present disclosure provide techniques for determining an energy per resource element (EPRE) ratio for non-zero power (NZP) channel state information reference signals (CSI-RSs) when a device is measuring a wireless channel. A method that may be performed by a user equipment (UE) includes determining, based on an indication, an energy per resource element (EPRE) ratio for a non-zero power (NZP) channel state information reference signal (CSI-RS) resource; and measuring a channel based on the determined EPRE ratio and CSI-RS s associated with the NZP CSI-RS resource.

Abstract: In a wireless communication system, a user equipment (UE) may report channel state information (CSI) using a learned dictionary defining a set of sparse vectors. The UE determines a learned dictionary for CSI reporting. For example, the UE receives a shared dictionary from a similar and nearby UE or the UE trains the learned dictionary based on logged CSI measurements. The UE indicates the learned dictionary to a serving base station. The UE measures CSI for a plurality of channels. The UE reports a sparse vector representing the CSI based on the learned dictionary to the serving base station.

Abstract: This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for UE feedback of non-preferred time-frequency resources. The UE may receive, from a base station over time, a plurality of DL transmissions for which the UE may perform measurements on the plurality of DL transmissions. Based at least in part on the measurements, the UE may transmit, to the base station, an indication of a set of one or more time-frequency resources to avoid using for communications with the UE.

Abstract: Embodiment methods for managing communication between a wireless device and a base station may include a wireless device sending an indication in a random access channel (RACH) message to the base station that the wireless device is capable of millimeter wave (mmWave) digital beamforming. Embodiment methods may include a base station receiving the indication in a random access channel (RACH) message from the wireless device that the wireless device is capable of millimeter wave (mmWave) digital beamforming, generating a first RACH response to the wireless device in response to the indication in the RACH message that the wireless device is capable of mmWave digital beamforming, and multiplexing the first RACH response to the wireless device with a second RACH response transmitted to a second wireless device.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment may receive, from a base station (BS), a channel state information reference signal (CSI-RS) communication; and transmit, to the BS, a physical uplink control channel communication including feedback information that is a response to the CSI-RS communication and including an interference measurement. Numerous other aspects are provided.

Abstract: Methods, systems, and devices for wireless communications are described. The described techniques provide for detecting when a control link between a user equipment (UE) and a base station is lost and recovering the control link. In one example, a UE may detect that a control link with a base station is lost based on a timer or counter expiring or based on failing to receive signaling from the base station. In another example, a UE may be configured to transmit uplink transmissions to a base station to maintain a control link with the base station, and the base station may detect that a control link with the UE is lost if the base station fails to receive one or more uplink transmissions from the UE. If the control link is lost, the base station and the UE may communicate to re-establish the control link.

Abstract: Certain aspects of the present disclosure provide a method of wireless communication by a user equipment (UE), generally including communicating with a network entity using one or more beams and transmitting, to the network entity, assistance information based on a predicted future blockage event involving at least one of the one or more beams.

Abstract: Certain aspects of the present disclosure provide techniques for measurements on a first frequency band applicable to procedures on a second frequency band. A technique that may be performed by a user equipment (UE) may include sending a base station (BS) an indication of the first frequency band, which may be a preferred measurement frequency band. The UE may then measure one or more reference signals (RSs) on the preferred measurement frequency band. The UE may then apply the measurements of the one or more RSs on the preferred measurement frequency band for one or more procedures on the second frequency band.

Abstract: Methods, systems, and devices for wireless communications are described. A base station may transmit a data packet to a user equipment (UE). The data packet may have an associated packet delay budget to maintain a quality of experience for a user of the UE. The UE may determine a packet delivery time associated with the packet based on a communications latency and a signal processing latency. The UE may assess the packet delay budget and determine a remaining delay budget based on the packet delivery time. The UE may report the remaining delay budget to the base station in a feedback message. Based on the feedback message, the base station may determine to adjust a transmission time for subsequent data packet transmissions to improve data packet transmission and processing reliability.

Abstract: A scheduled entity receives a communication from a scheduling entity that facilitates a configuration on how to connect with a plurality of candidate cells. The scheduled entity then exchanges information about the plurality of candidate cells with the scheduling entity via Layer 1 (L1)/Layer 2 (L2) signaling, and connects with at least one of the plurality of candidate cells based on the L1/L2 signaling and the configuration. In another example, a scheduling entity transmits a communication to a scheduled entity to pre-configure the scheduled entity on how to connect with a plurality of candidate cells. The scheduling entity then receives information about the plurality of candidate cells from the scheduled entity via L1/L2 signaling, and dynamically selects via the L1/L2 signaling at least one of the plurality of candidate cells to serve the scheduled entity.