BASIS SUBSET FEEDBACK FOR CHANNEL STATE INFORMATION ENHANCEMENT

    公开(公告)号:US20220006500A1

    公开(公告)日:2022-01-06

    申请号:US17296608

    申请日:2019-12-06

    Abstract: Methods, systems, and devices for wireless communications are described. In some systems, a user equipment (UE) may report basis subset selection for a set of beams, where the basis vectors are used for frequency domain compression. To reduce reporting overhead, the UE may transmit two reports indicating the basis vectors. The first report may include first information for the basis vectors and is of a known payload size to both the UE and a base station, while the second report may include second information for the basis vectors and may have a payload size dependent on the first information. The base station may decode the first report and may use the decoded first information to decode the second report. Based on the first and second information, the base station may determine the reported set of basis vectors to use for frequency domain compression and may determine non-zero precoding coefficients.

    CHANNEL STATE DETERMINATION OR REFERENCE SIGNALING WITH TRAFFIC PREEMPTION

    公开(公告)号:US20210120442A1

    公开(公告)日:2021-04-22

    申请号:US15733502

    申请日:2019-01-17

    Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may determine that one or more measurement reference resources, of a plurality of measurement reference resources, are preempted; and, based at least in part on the determination, selectively: cancel transmission of a measurement report, or transmit the measurement report based at least in part on at least a portion of the plurality of measurement reference resources. In some aspects, the UE may determine that one or more uplink reference signal resources, of a plurality of uplink reference signal resources, are to be preempted; and, based at least in part on the determination, selectively: cancel transmission of an uplink reference signal, or transmit the uplink reference signal based at least in part on at least a portion of the plurality of uplink reference signal resources. Numerous other aspects are provided.

    REPORTING COHERENT JOINT TRANSMISSION TYPE II CHANNEL STATE INFORMATION FEEDBACK

    公开(公告)号:US20250167860A1

    公开(公告)日:2025-05-22

    申请号:US18839217

    申请日:2022-04-29

    Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive one or more reference signals from a plurality of transmit receive points (TRPs) associated with a network entity. The UE may transmit, to the network entity and based at least in part on the one or more reference signals, a coherent joint transmission (CJT) Type II channel state information (CSI) feedback report. The CJT Type II CSI feedback report may be based at least in part on a two-stage frequency domain (FD) basis reporting irrespective of a quantity of precoding matrix indicator (PMI) subbands. The CJT Type II CSI feedback report may be based at least in part on selecting coefficients from high-priority coefficients and excluding low-priority coefficients irrespective of coefficient strengths associated with the low-priority coefficients. Numerous other aspects are described.

    TECHNIQUES FOR UPDATING AN ARTIFICIAL INTELLIGENCE OR MACHINE LEARNING MODEL FOR OBJECT RECOGNITION

    公开(公告)号:US20250138152A1

    公开(公告)日:2025-05-01

    申请号:US18497488

    申请日:2023-10-30

    Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a wireless communication device may transmit an indication of micro-Doppler measurements associated with a first artificial intelligence or machine learning (AI/ML) model. The wireless communication device may receive, in association with transmitting the indication of the micro-Doppler measurements, an indication of a second AI/ML model that is an update of the first AI/ML model. The wireless communication device may transmit, in connection with using the second AI/ML model, an indication associated with object recognition. Numerous other aspects are described.

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