END-TO-END SYSTEM FOR IMPROVING WIRELESS COVERAGE IN SHADOWED ZONES USING PASSIVE RF METASURFACES

    公开(公告)号:US20250071565A1

    公开(公告)日:2025-02-27

    申请号:US18791282

    申请日:2024-07-31

    Abstract: A method includes identifying a zone blocked from line of sight (LOS) of a gNB; receiving a 3D spatial map of a first area including the zone and a second area that surrounds the zone and that is within both a coverage area and the LOS of the gNB; determining whether the second area includes a mountable surface to which a passive RF reflective metasurface is attachable; and determining whether the metasurface, if attached to the mountable surface, generates a reflection path to the zone, based on a determination that the second area includes the mountable surface and based on estimated propagation paths from the gNB to the zone. The method includes determining whether to add a metasurface to the second area based on: a determination result whether the reflection path from the metasurface attached to the mountable surface to the zone includes reflected signals satisfying a threshold bandwidth condition.

    CSI PREDICTION USING MACHINE LEARNING

    公开(公告)号:US20250105899A1

    公开(公告)日:2025-03-27

    申请号:US18894934

    申请日:2024-09-24

    Abstract: A base station includes a transceiver, and a processor operatively coupled to the transceiver. The processor is configured to estimate a mobility level of a user equipment (UE), and determine whether the estimated mobility level of the UE exceeds a speed threshold. The processor is also configured to generate, from a channel response prediction model, a future channel response prediction based on the estimated mobility level of the UE and whether the estimated mobility of the UE exceeds the speed threshold.

    SENSING RESOURCE CONFIGURATION AND COEXISTENCE HANDLING IN CELLULAR SYSTEMS

    公开(公告)号:US20230362898A1

    公开(公告)日:2023-11-09

    申请号:US18190882

    申请日:2023-03-27

    CPC classification number: H04W72/0446 H04W72/0453 H04W72/0457

    Abstract: A time domain resource configuration indicates a time domain resource for sensing operations by a user equipment, and a frequency domain resource configuration indicates a bandwidth part (BWP) for the sensing operations. The user equipment performs the sensing operations using the indicated time domain resource and the indicated bandwidth part. The time domain resource configuration may include a sensing type indicator S for the time domain resource for sensing operations, and may indicate that dynamic triggering of sensing is allowed. The BWP for the sensing operations may comprise BWP(s) selectively activated for the sensing operations, and may indicate BWP(s) that overlap a BWP used for cellular communication. Assistance information for interference between sensing operations and cellular communication may be transmitted by the user equipment, which may subsequently receive a configuration for coexistence of the sensing operations and the cellular communication.

    INTELLIGENT PROXIMITY SYSTEM
    4.
    发明申请

    公开(公告)号:US20250071508A1

    公开(公告)日:2025-02-27

    申请号:US18614620

    申请日:2024-03-22

    Abstract: An electronic device includes a transceiver configured to receive information related to an action request or rule. The electronic device further includes a processor operatively coupled to the transceiver. The processor is configured to determine that the action is location based, and identify a zone within which the electronic device is located. The identification of the zone is based on at least one of a first reception by the transceiver of at least one signal indicative of a location of the electronic device, and a second reception by the transceiver of at least one response to a transmission of a signal indicative of a location of the electronic device. The processor is further configured to trigger an action based on the action request or rule and the identified zone.

    TRANSMISSION MODE ADAPTATION IN NEW RADIO WITH AI/ML ASSISTANCE

    公开(公告)号:US20240063931A1

    公开(公告)日:2024-02-22

    申请号:US18363670

    申请日:2023-08-01

    CPC classification number: H04B17/3913 H04B7/0417 H04B7/0626

    Abstract: Apparatuses and methods for transmission mode adaptation in New Radio (NR) with AI/ML assistance. A base station includes a transceiver configured to receive a set of input metrics. The set of input metrics comprises at least one metric derived from a channel state information (CSI) report. The base station further includes a processor operably coupled to the transceiver, the processor configured to determine, based on the set of input metrics, a first multiple-input multiple-output (MIMO) mode throughput prediction and a second MIMO mode throughput prediction, generate, based on the first MIMO mode throughput prediction, a predicted first MIMO mode throughput result, generate, based on the second MIMO mode throughput prediction, a predicted second MIMO mode throughput result, and select a MIMO mode based on the predicted first MIMO mode throughput result and the predicted second MIMO mode throughput result.

    DIFFUSION MODEL BASED WIRELESS CHANNEL ESTIMATION

    公开(公告)号:US20250150307A1

    公开(公告)日:2025-05-08

    申请号:US18905944

    申请日:2024-10-03

    Abstract: An apparatus includes a transceiver configured to receive, over a wireless communication channel, at least one controlled-noise signal. The apparatus also includes a processor, operatively coupled to the transceiver. The processor is configured to train, based on the at least one controlled-noise signal, a noise prediction model for the wireless communication channel, and generate, based on the trained noise prediction model, a noise prediction for the wireless communication channel. The processor is also configured to determine, based on the received at least one controlled-noise signal and the noise prediction, a score function for the wireless communication channel.

    AI-BASED CSI PREDICTION WITH WEIGHT SHARING
    8.
    发明公开

    公开(公告)号:US20240015531A1

    公开(公告)日:2024-01-11

    申请号:US18181447

    申请日:2023-03-09

    CPC classification number: H04W24/02 H04L1/0073

    Abstract: A method includes receiving a pilot signal or a measurement report from a user equipment (UE) or a base station (BS). The method also includes updating a CSI buffer with channel state information (CSI) obtained from the pilot signal or the measurement report, the CSI buffer configured to store previous uplink or downlink channel estimates. The method also includes providing at least a portion of the CSI buffer to a CSI predictor comprising an artificial intelligence (AI) model that utilizes one or more weight sharing mechanisms, the AI model comprising a sequence of layers. The method also includes predicting temporal CSI using the CSI predictor. Depending on the configured output, the method can also include and/or be used for denoising and frequency extrapolation.

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