SYSTEMS AND METHODS FOR SELECT RADIO UNIT TRANSMISSION POWER IN RADIO ACCESS NETWORKS

    公开(公告)号:US20230071719A1

    公开(公告)日:2023-03-09

    申请号:US17903707

    申请日:2022-09-06

    Abstract: Systems and methods for select RU transmission power in RANs are provided. In one embodiment, a controller for a RAN is provided. The RAN includes a BBU entity coupled to a plurality of RUs providing wireless communications service to UEs in a coverage area, the controller comprises a processor executing: a power assessment function that determines a transmit power level for RUs based on RU configuration data; an information block dissemination function that communicates an information block to the RUs based on the transmit power level determined by the power assessment function; the information block dissemination function communicates a first information block to a RU that indicates a first power level, and a second information block to a second RU that indicates a second power level different than the first; within the coverage area, the downlink signals of the first RU are isolated from downlink signals of the second RU.

    SYSTEMS AND METHODS FOR MACHINE LEARNING BASED LOCATION AND DIRECTIONS FOR VENUE AND CAMPUS NETWORKS

    公开(公告)号:US20250097664A1

    公开(公告)日:2025-03-20

    申请号:US18727611

    申请日:2023-05-15

    Abstract: Systems and methods for providing machine learning based location and directions for venue and campus network are provided. In one example, a system includes a BBU entity and RU(s) communicatively coupled to the BBU entity. The system further includes antenna(s) communicatively coupled to the RU(s), and each respective RU is communicatively coupled to a respective subset of the antenna(s). The BBU entity, the RU(s), and the antenna(s) are configured to implement a base station for wirelessly communicating with UEs in a cell. The system further includes a machine learning computing system configured to receive time and location data and determine a predicted density for location areas in the cell based on the time and location data. The system is configured to determine a target location based on the predicted density for the location areas in the cell and send the target location to a first UE in the cell

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