Indoor positioning method and apparatus
    11.
    发明授权
    Indoor positioning method and apparatus 有权
    室内定位方法及装置

    公开(公告)号:US09462424B2

    公开(公告)日:2016-10-04

    申请号:US14983116

    申请日:2015-12-29

    CPC classification number: H04W4/30 G01S5/0252 H04W4/043 H04W16/20

    Abstract: The invention discloses an indoor positioning method and apparatus. The method includes: acquiring current cell signal strength information of a terminal located indoors; determining, according to 3D indoor positioning matching information, horizontal position information and height information of an indoor grid that are corresponding to the current cell signal strength information, where the 3D indoor positioning matching information includes a correspondence between cell signal strength information of the indoor grid and the horizontal position information and the height information of the indoor grid; and determining, according to the horizontal position information and the height information of the indoor grid, a horizontal position at which the terminal is located indoors and a height at which the terminal is located. In this way, high-accuracy 3D indoor positioning can be implemented.

    Abstract translation: 本发明公开了一种室内定位方法和装置。 该方法包括:获取位于室内的终端的当前小区信号强度信息; 根据3D室内定位匹配信息,确定与当前单元信号强度信息对应的室内网格的水平位置信息和高度信息,其中3D室内定位匹配信息包括室内网格的单元信号强度信息之间的对应关系 以及室内网格的水平位置信息和高度信息; 并且根据所述室内网格的水平位置信息和高度信息,确定所述终端位于室内的水平位置和所述终端所在的高度。 以这种方式,可以实现高精度的3D室内定位。

    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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