MACHINE-LEARNING-BASED WIRELESS PLANNING USING ANTENNA RADIATION PATTERNS

    公开(公告)号:US20240147251A1

    公开(公告)日:2024-05-02

    申请号:US18051622

    申请日:2022-11-01

    CPC classification number: H04W16/18 H04W16/28

    Abstract: In one example, a method performed by a processing system including at least one processor includes creating a geospatial model of an environment in which a cellular network is to be deployed, transforming, for each cellular antenna of a proposed antenna layout of the cellular network, a radiation pattern of the each cellular antenna into a signal strength array, to create a plurality of signal strength arrays, augmenting, for each signal strength array of the plurality of signal strength arrays, the each signal strength array with at least one parameter of a corresponding cellular antenna of the proposed antenna layout and at least one value describing the environment in which the cellular network is to be deployed, and estimating a coverage of the proposed antenna layout based on the signal strength array, as augmented, using a machine learning model.

Patent Agency Ranking