Abstract: Certain aspects of the present disclosure provide techniques for remote interference mitigation between base stations using reference signals. Certain aspects provide a method for wireless communication by a first base station (BS). The method includes receiving a reference signal (RS) from a second BS. The method further includes performing interference measurement corresponding to interference from the second BS based on the RS being associated with the second BS.

Abstract: Certain aspects of the present disclosure provide techniques for a method for wireless communications by a user equipment (UE), comprising generating a message that includes a first parameter indicating a capability of the UE to support machine learning (ML) functions across a group of cells and transmitting the message to a network entity.

Abstract: Methods, systems, and devices for wireless communications are described. In some cases, a user equipment (UE) may transmit, to a base station, a report indicating a capability of the UE to support symbol level quantization, slot level quantization, or both. The UE may identify that the UE is to utilize the slot level quantization. For instance, the UE may receive control signaling indicating that the UE is to utilize slot level quantization and may perform the identifying based on receiving the control signaling. The UE may receive a first transmission via a first channel and may communicate, responsive to receiving the first transmission, a second transmission via a second channel at a quantized start timing determined in accordance with the slot level quantization.

Abstract: Certain aspects of the present disclosure provide techniques for wireless communications. One aspect provides a method of wireless communications by a user equipment (UE), the method including receiving, from a network entity, a reference signal; processing the reference signal with a machine learning model to generate machine learning model output; and determining an action to take based on the machine learning model output and a model monitoring configuration.

Abstract: Certain aspects of the present disclosure provide a method for wireless communication by a network entity. The method generally includes transmitting first information configuring a first user equipment (UE) to transmit cross-link interference (CLI) measurement reports indicating (CLI) associated with at least one (CLI) resource assigned to a second UE, transmitting second information configuring the second UE to vary signal transmission on the at least one (CLI) resource, and determining, based on one or more (CLI) measurement reports received from the first UE, that a third UE is transmitting on the at least one (CLI) resource.

Abstract: Certain aspects of the present disclosure provide techniques for efficient signaling of frequency resources in multiple cells. For example, a single downlink control information (DCI) transmission to a user equipment (UE) may be used to indicate a bandwidth part (BWP) switch to be applied in multiple cells. In some cases, the BWP switch may be into a pre-defined BWP across the multiple cells (and the same DCI may also schedule or trigger data or reference signals in the pre-defined BWP).

Abstract: Radio frequency (RF) sensing by a sensing node, such as a user equipment (UE) or base station, in a wireless network is supported preconfiguring a sensing resource set by a network node and sending the preconfigured resource set for sensing to the sensing node. The sensing node measures interference on the resources of the preconfigured resource set before selecting and occupying one or more resources for sensing. The interference may be measured based on signal strength measurements and one or more interference thresholds, which may be provided to the sensing node by the network node. Reports based on the interference of the resources may be provided by the sensing node to the network node with which the network node may configure sensing resource sets for other sensing nodes or may reconfigure the sensing resource set for the sensing node if no resources in the current preconfigured resource set are available.

Abstract: Methods, systems, and devices for wireless communications are described that improve resource configuration for crosslink interference (CLI) measurement in a wireless communications system. For example, a victim user equipment (UE), may be configured to receive and measure the CLI from one or more aggressors. Specifically, the victim UE may be configured to use a dedicated tracking loop for the CLI measurements to track a dedicated channel of the CLI. Additionally or alternatively, the victim UE may associate CLI with an aggressor identity allowing the CLI resources from the same aggressor to be measured jointly. In another example, an aggressor UE may transmit additional reference signals for a victim UE to measure prior to sounding reference signals. The victim UE may report the CLI measurements to its serving base station.

Abstract: A UE receives a cross link interference (CLI) signal from an aggressor and a downlink (DL) signal from a network in the same symbol. The UE can use a single fast Fourier transform (FFT) window to receive both CLI signal and DL signal. The UE can use various techniques to avoid skipping DL reception even when a dense CLI measurement pattern is used. The disclosed techniques can reduce resource wastage caused by unnecessary CLI measurements.

Abstract: Disclosed are systems, apparatuses, processes, and computer-readable media for wireless communications. For example, a network entity may receive, from a network device, Reference Signal Received Power (RSRP) measurements and Doppler measurements for a plurality of pairs of sensing beams. The network entity may determine, based on at least a portion of the RSRP measurements and the Doppler measurements, a pair of sensing beams from the plurality of pairs of sensing beams for sensing a target. In some cases, the network device may determine the RSRP measurements and Doppler measurements of the plurality of pairs of sensing beams. The network device may receive, from the network entity, an indication of a pair of sensing beams from the plurality of pairs of sensing beams based on at least the portion of the RSRP measurements and the Doppler measurements.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment may receive, by the user equipment, a request for capability information associated with a wireless sensing operation, the capability information identifying at least one of: whether the user equipment is capable of the wireless sensing operation, a sensing mode associated with time division duplexing multiplexing for the wireless sensing operation, a waveform for a signal associated with the wireless sensing operation, a sensing granularity associated with the wireless sensing operation, a range associated with the wireless sensing operation, a sensing bandwidth associated with the wireless sensing operation, a power control parameter associated with the wireless sensing operation, or a hardware constraint associated with the wireless sensing operation; and transmit, based at least in part on the request, the capability information. Numerous other aspects are provided.

Abstract: A method for CLI signal measurement includes: receiving, at an apparatus, a CLI configuration indicative of an uplink CLI signal corresponding to a transmitting user equipment; receiving, at the apparatus, the uplink CLI signal; measuring, at the apparatus, the uplink CLI signal to determine a Doppler measurement; and measuring, at the apparatus, the uplink CLI signal to determine a received power of the uplink CLI signal.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment may receive configuration information that indicates, for a plurality of signals configured in a symbol, a plurality of quasi-colocation (QCL) relationships to be used for determining a channel property; select a QCL relationship, from the plurality of QCL relationships, to be used for determining the channel property and the plurality of signals in the symbol; and receive the plurality of signals in accordance with the selected QCL relationship based at least in part on the channel property. Numerous other aspects are provided.

Abstract: User Equipment (UE) receives, from a base station (BS), at least one resource block (RB). The RB includes at least one reference signal (RS) resource element (RE) of a first physical channel of the UE. The UE estimates a channel quality of a second physical channel of the UE as a function of the at least one RS RE. In some examples, the BS associates the transmission of a first physical channel reference signal (RS) and the transmission of a second physical channel RS. The BS then signals, BS to the UE, the association between the first physical channel reference signal and the second physical channel reference signal.

Abstract: Aspects described herein relate to using machine learning (ML) models for performing channel state information (CSI) encoding or decoding, CSI-reference signal (RS) optimization, channel estimation, etc. The ML models can be trained by a user equipment (UE), separately by the UE and a network node (e.g., base station), or jointly by the UE and network node.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first user equipment (UE) may receive, from a network entity, a configuration that indicates one of: unevenly spaced cross-link interference (CLI) measurement resources or unevenly spaced CLI measurement windows. The UE may perform a CLI measurement based at least in part on the configuration, wherein the CLI measurement is associated with an uplink data transmission by a second UE. The UE may transmit, to the network entity, an indication of the CLI measurement. Numerous other aspects are described.

Abstract: This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for FL model update reporting based on UE clustering. A UE may receive, from a base station, one or more criteria for grouping a plurality of UEs into a UE group for a combined machine learning model update. The UE may receive, from one or more UEs in the UE group, individual machine learning model updates for a machine learning model and transmit the combined machine learning model update to the base station based on the individual machine learning model updates from the one or more UEs.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive information to update a machine learning model associated with a training iteration of the machine learning model. The UE may transmit a local loss value based at least in part on the training iteration of the machine learning model within a time window to report the local loss value for the training iteration, the time window having an ending. Numerous other aspects are described.

Abstract: A user equipment transmits a processing time parameter to a base station. The UE receives a physical downlink control channel in a span. The span may be known at the UE. The PDCCH schedules a subsequent, scheduled channel with a timeline based on the last symbol of the span and the processing time parameter.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment may determine to not support one or more downlink control information communications for dynamic slot format determination, and determine a slot format based at least in part on radio resource control signaling from a network. Numerous other aspects are provided.