POSITIONING OF PASSIVE INTERNET OF THINGS (IOT) DEVICES

    公开(公告)号:US20240151815A1

    公开(公告)日:2024-05-09

    申请号:US18053361

    申请日:2022-11-07

    CPC classification number: G01S7/414 G01S5/0284 G01S7/4865 H04W64/003

    Abstract: Aspects presented herein may enable an entity that is receiving (or reading) reflected/backscattered signals from an IoT device to differentiate the reflected/backscattered signals from other reflections (e.g., noise or signals bounced from other objects). In one aspect, a wireless device transmits an indication of a positioning session to an IoT device, wherein the indication initiates the positioning session for the IoT device. The wireless device transmits, based on the positioning session, a set of PRSs to the IoT device via a plurality of transmission occasions. The wireless device receives, from the IoT device based on a reflection pattern, at least one PRS in the set of PRSs via at least one reception occasion.

    APPLYING WEIGHTED AVERAGING TO MEASUREMENTS ASSOCIATED WITH REFERENCE SIGNALS

    公开(公告)号:US20240137789A1

    公开(公告)日:2024-04-25

    申请号:US18048568

    申请日:2022-10-20

    CPC classification number: H04W24/08 H04B17/318 H04W24/10 H04W72/0413

    Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive, from a network node, a configuration for applying weighted averaging to layer 1 (L1) reference signal received power (RSRP) measurements. The UE may receive, from the network node, a plurality of reference signals during a period of time, the plurality of reference signals being quasi-co-located with each other. The UE may obtain weighted averaged L1 RSRP measurements associated with the plurality of reference signals based at least in part on the configuration, the weighted averaged L1 RSRP measurements being available as input to a machine learning (ML) model for beam prediction. Numerous other aspects are described.

    ADJUSTING COMMUNICATIONS OPERATIONS FOR CHANGES TO CONFIGURATIONS FOR QUASI CO-LOCATION AND NUMBER OF ANTENNA ELEMENTS

    公开(公告)号:US20240129922A1

    公开(公告)日:2024-04-18

    申请号:US18540420

    申请日:2023-12-14

    CPC classification number: H04W72/21 H01Q3/28 H01Q3/34 H04W52/04

    Abstract: Methods, systems, and devices for wireless communications are described in which a first device may determine a state change based on a condition associated with communications between the first device and a second device and perform an adjustment for one or more sets of antenna elements of the first device based on the state change. A state change may, for example, include a change of an antenna configuration or a quasi co-location (QCL) configuration of the respective device. Based on determining the state change, the first device may transmit a state change request to the second device. According to the state change request, the second device may perform an adjustment for a set of one or more of its antenna elements. The second device may transmit an indication of an adjustment to the first device, and the first device and the second device may communicate according to the adjustment.

    DISABLING BEAM PREDICTION OUTPUTS
    36.
    发明公开

    公开(公告)号:US20240129750A1

    公开(公告)日:2024-04-18

    申请号:US18045988

    申请日:2022-10-12

    CPC classification number: H04W16/28 H04W24/10

    Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive, from a network node, a configuration of a beam prediction model that is trained to predict beam measurements for a set of beams. The UE may receive, from the network node, an indication of a subset of beams, from the set of beams, that are to be associated with a measurement report. The UE may transmit, to the network node, the measurement report indicating one or more predicted beam measurements that are based at least in part on an output of the beam prediction model, the output of the beam prediction model including beam predictions associated with the set of beams, and the one or more predicted beam measurements including information associated with the subset of beams. Numerous other aspects are provided.

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