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.

    SYSTEM AND METHOD FOR GEOSPATIAL PLANNING OF WIRELESS BACKHAUL LINKS

    公开(公告)号:US20220393723A1

    公开(公告)日:2022-12-08

    申请号:US17890361

    申请日:2022-08-18

    Abstract: Aspects of the subject disclosure may include, for example, calculating a Fresnel zone about a line of sight (LoS) between a pair of antennas positioned on antenna mounts. The Fresnel zone is projected onto a geospatial grid of 3D cells, each having a height above a horizontal plane. Cells that intersect the Fresnel zone projection are selected to obtain a subset cells with constraint heights determined according to heights of the subset cells that are adjusted according to the Fresnel zone. The LoS is revised according to an algorithm to obtain a set of updated LoS. Those updated LoS that do not intersect the set of adjusted constraint heights are identified as solutions that include an optimal solution, should one exist. Other embodiments are disclosed.

Patent Agency Ranking