Abstract: Disclosed are techniques for environment sensing by an electronic device, such as a user equipment (UE) or base station. In an aspect, the electronic device uses a radio frequency (RF) signal configured to transmit information on orthogonal frequency division multiplexing (OFDM) symbols in accordance with a wireless communication standard, such as Fifth Generation (5G) New Radio (NR), for environment sensing. The electronic device configures one or more transmission parameters for the RF signal based on one or more factors related to a resolution to be provided by the RF signal, a type of application for which the environment sensing RF signal is being transmitted, capabilities of the UE, and the like. The electronic device then transmits the environment sensing RF signal, over an uplink, downlink, or sidelink, as appropriate to the type of electronic device, in accordance with the one or more transmission parameters.

Abstract: Methods, systems, and devices for wireless communications are described. The method includes transmitting, to a base station, a capability parameter indicating one or more predictive retransmission feedback capabilities of the UE, receiving, from the base station, an activation indicator that indicates a predictive retransmission feedback procedure is enabled, receiving data from the base station, and transmitting a predictive retransmission feedback associated with the data to the base station, the predictive retransmission feedback being computed, in accordance with the activation indicator, prior to completing a decoding of the data.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may select a machine learning (ML) feature group from among a first ML feature group and a second ML feature group based at least in part on a UE capability of the UE for ML features. The ML features or an ML feature parameter of the first ML feature group may be different than ML features or an ML feature parameter of the second ML feature group. The UE may perform an action associated with wireless communication based at least in part on a model with one or more ML features from the selected ML feature group. Numerous other aspects are described.

Abstract: Methods, systems, and devices for wireless communications are described. The described techniques relate to improved methods, systems, devices, and apparatuses that support capability-based machine learning (ML) model quantization. In particular, the described techniques provide for a UE to indicate a capability to perform ML model quantization. For example, to account for varying capabilities of different UEs while improving ML model performance, the UE may transmit a message indicating a capability of the UE to support one or more quantization schemes for one or more ML models. A network entity may transmit a message configuring the UE with the quantization schemes or quantized ML models in accordance with the UE capability. The UE may perform one or more channel estimations, such as for beam management or channel state information (CSI) reporting, using an ML model with one or more quantization schemes.

Abstract: Apparatuses and methods for multi-layer adaptation to enhance JCS performance are described. An apparatus is configured to provide, for a SMF, an adaptation capability. The adaptation capability indicates Tx capabilities for layer adaptation of the Tx of the apparatus in JCS. The apparatus is configured to receive, based on the adaptation capability, a layer configuration for at least one of a first set of layers or a second set of layers. The apparatus is configured to perform, based on the layer configuration, at least one of (1) a communication function, with a network node, via the first set of layers or (2) a sensing operation via the second set of layers in a detection mode or in a tracking mode.

Abstract: Wireless communications systems, apparatuses, and methods are provided. A method of wireless communication performed by a first user equipment (UE) includes receiving, from a network unit, a cross link interference (CLI) measurement resource configuration, wherein the CLI measurement resource configuration indicates a plurality of CLI measurement occasions, measuring CLI associated with a second UE in the plurality of CLI measurement occasions, and transmitting, to the network unit, one or more CLI measurement reports associated with the measured CLI.

Abstract: Apparatuses and methods for joint resource allocation for UE power savings in JCS are described. An apparatus is configured to receive, from a network node, an indication of a sensing pattern configuration. The sensing pattern configuration is associated with a sensing resource, and includes an offset window, and is further associated with a first association of a network node DRX pattern with a UE DRX pattern, or a second association of the network node DRX pattern with data communications. The apparatus is also configured to activate the sensing resource at an activation time for a sensing occasion after a start of the offset window. The offset window corresponds to an end of an active duration at the UE prior to a start of a next sensing occasion, a start of the active duration at the UE after a prior sensing occasion, and/or a data communication.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive cross-link interference associated with a transmission by another UE, at least one of the UE or the other UE being configured with a plurality of timing advance groups associated, respectively, with a plurality of timing advance values. The UE may select a timing advance value of the plurality of timing advance values. The UE may measure the cross-link interference using the selected timing advance value. Numerous other aspects are described.

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: In an aspect, a UE may obtain an indication of a pattern of a set of cell-specific reference signals (CRSs). The UE may receive at least one CRS in the set of CRSs based on the pattern of the set of CRSs. The UE may perform, based on the at least one CRS, a set of measurements for a radio frequency (RF) sensing session. In another aspect, a network node may provide, for a user equipment (UE), an indication of a pattern of a set of CRSs. The network node may provide, for the UE, at least one CRS in the set of CRSs based on the pattern of the set of CRSs. The network node may receive, from the first UE based on the at least one CRS, a sensing measurement report comprising a first set of measurements for an RF sensing session.

Abstract: In some implementations, a user equipment (UE) may obtain an indication of a sensing resource configuration comprising information regarding an orthogonal frequency division multiplexing (OFDM) slot having one or more automatic gain control (AGC) symbols in which radio frequency (RF) sensing is to be performed. The UE may perform RF sensing measurements of one or more transmitted RF signals in the one or more AGC symbols of the OFDM slot, in accordance with the sensing resource configuration.

Abstract: An example method of frequency difference of arrival (FDOA)-based sensing transmitting device, performed by a server, the method comprising transmitting, to the transmitting device, a FDOA-based sensing configuration, wherein the FDOA-based sensing configuration configures the transmitting device to transmit at a first, a second, and a third time points, a first, a second, and a third radio frequency (RF) signals respectively. The method also comprises obtaining a first FDOA measurement determined based on a reflection of the first RF signal and a reflection of the second RF signal, and a second FDOA measurement determined based on the reflection of the second RF signal and a reflection of the third RF signal. The method further comprises obtaining Doppler information of the reflector, and obtaining Doppler information of the transmitting device based on the first FDOA measurement and the second FDOA measurement, and the Doppler information of the reflector.

Abstract: An example method of repetition-based joint sensing and communication (JSC) for sensing a target performed by a scheduling device may comprise receiving a request for a repetition-based JSC transmission. The method may also comprise responsive to the request, transmitting a repetition-based sensing configuration for configuring a radio frequency (RF) signal, wherein in accordance with the repetition-based sensing configuration, the RF signal comprises a plurality of repetitions, wherein the repetition-based sensing configuration indicates at least a subset of repetitions of the plurality of repetitions used for sensing the target such that a sensing measurement may be determined based on a correlation of the subset of repetitions in accordance with the repetition-based sensing configuration. The method may further comprise transmitting or receiving the repetition-based JSC transmission based on the RF signal.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit, to a base station, information identifying multiple remote UEs for which the UE serves as a relay UE. The UE may receive, from the base station, an indication of a grouping of the remote UEs into one or more paging groups. The UE may monitor, for each paging group of the one or more paging groups, paging occasions associated with that paging group to determine whether paging messages for the remote UEs in that paging group are received from the base station. Numerous other aspects are described.

Abstract: A UE may indicate, to a wireless network, a capability to support one or more versions of an ML processing model, and a wireless network entity of the wireless network may configure the UE to apply a version of the ML processing model that is supported by the UE. The indication from the UE may indicate the capability to support one or more of a first version of the ML processing model that is common across multiple wireless networks and at least one alternate version of the ML processing model, such as a version that is specific to a network. The wireless network entity may configure at least one of a network specific algorithm structure or one or more weights for an network specific machine learning model that is supported by the UE.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive, from a base station, an indication of a demodulation reference signal bundling configuration to be used by the UE for demodulating a grant. The UE may bundle a plurality of demodulation reference signals received across a plurality of slots according to the demodulation reference signal bundling configuration. The UE may perform channel estimation based at least in part on the bundled demodulation reference signals. The UE may demodulate the grant based at least in part on the channel estimation.

Abstract: Techniques for enabling a cross-link interference (CLI) based uplink (UL) angle-of-arrival (AoA) estimations are disclosed. A victim user equipment (UE) may be configured with CLI resources to measure CLIs from one or more aggressor UEs. The victim UE may take the CLI opportunities also to estimate the AoAs of the UL signals from the aggressor UEs. In this way, UE's location estimation may be enhanced.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a base station may determine that at least one condition, of a plurality of conditions, is satisfied with regard to at least one other base station; and perform at least one remote interference management (RIM) operation, the at least one RIM operation selected based at least in part on the at least one condition. In some aspects, a base station may receive an indication regarding interference, the indication regarding interference indicating that at least one condition, of a plurality of conditions, is satisfied with regard to the base station or at least one other base station; and perform at least one RIM operation, the at least one RIM operation selected based at least in part on the at least one condition or the indication regarding interference. Numerous other aspects are provided.

Abstract: Methods, systems, and devices for wireless communications are described. Generally, a base station may configure one or more cross-link interference measurement resources on which a user equipment (UE) is to measure CLI. The UE may measure CLI from a single aggressor UE in multiple receive directions. The UE may identify receive beams on which it receives other signal types, and use those receive beams to measure CLI. In some examples, the base station may explicitly indicate to the UE which receive beams it is to use for CLI measurements. The UE may measure CLI on each CLI measurement resource using the identified receive beam, and may transmit, to the base station, a CLI report including CLI measurements, an indication of resource on which CLI measurements were taken, or a combination thereof.

Abstract: Disclosed are systems, apparatuses, processes, and computer-readable media for wireless communications. For example, an example of a process may include receiving a multiplexed signal, where a scheduled communication signal of the multiplexed signal overlaps with a sensing occasion including a period of time in which one or more sensing signals of the multiplexed signal are scheduled. The process may further include determining whether to skip or cancel processing of the one or more sensing signals of the sensing occasion based on the scheduled communication signal of the multiplexed signal overlapping with the sensing occasion and whether a timing offset is greater than or equal to a gap threshold.