Uplink Control Method, Apparatus, and System

    公开(公告)号:US20200322894A1

    公开(公告)日:2020-10-08

    申请号:US16881867

    申请日:2020-05-22

    Abstract: An uplink control method, includes: determining a downlink path loss based on a first reference signal receive power that is of a serving cell in which the terminal device is located and that is obtained through measurement; receiving a first transmit power and a second transmit power that are sent by the base station; and if the first reference signal receive power is greater than or equal to a preset threshold, obtaining, by the terminal, an uplink transmit power of the terminal in a first network; or if the first reference signal receive power is less than a preset threshold, obtaining, by the terminal, an uplink transmit power of the terminal in the first network.

    Uplink control method, apparatus, and system

    公开(公告)号:US11102727B2

    公开(公告)日:2021-08-24

    申请号:US16881867

    申请日:2020-05-22

    Abstract: An uplink control method, includes: determining a downlink path loss based on a first reference signal receive power that is of a serving cell in which the terminal device is located and that is obtained through measurement; receiving a first transmit power and a second transmit power that are sent by the base station; and if the first reference signal receive power is greater than or equal to a preset threshold, obtaining, by the terminal, an uplink transmit power of the terminal in a first network; or if the first reference signal receive power is less than a preset threshold, obtaining, by the terminal, an uplink transmit power of the terminal in the first network.

    Method for creating network simulation platform, network simulation method, and corresponding apparatuses

    公开(公告)号:US11856424B2

    公开(公告)日:2023-12-26

    申请号:US17345273

    申请日:2021-06-11

    CPC classification number: H04W24/06 G06N3/04 G06N3/08 H04L41/145 H04W16/22

    Abstract: A method for creating a network simulation platform that has a first black box model, includes: obtaining a candidate network performance indicator and feature information related to the candidate network performance indicator, where the feature information related to the candidate network performance indicator refers to a part or all of feature information needed to obtain the candidate network performance indicator; and training a machine learning model to obtain the first black box model, where an output parameter of the first black box model is the candidate network performance indicator, input parameters of the first black box model are the feature information related to the candidate network performance indicator, and the first black box model is used to simulate the candidate network performance indicator. The solutions provided help reduce simulation complexity and are applicable to large-scale network simulation.

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