A system for an automated ML-based design of a wireless network. The system includes a processor of a design server node connected to at least one server node over a network and a memory storing machine-readable instructions that when executed by the processor, cause the processor to: acquire aerial 3-D mapping data of a target area from an unmanned aircraft system (UAS) flying over the target area; acquire surface 3-D mapping data from a ground robotic crawler; parse the 3-D mapping data to derive a feature vector; provide the feature vector to a machine learning (ML) module residing on the at least one server node for generating a predictive model of a wireless network for some or all of the target area; receive outputs of the predictive model; and generate a wireless network design for the some or all of the target area based on the predictive outputs.


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    Titel :

    INTELLIGENT WIRELESS NETWORK DESIGN SYSTEM


    Beteiligte:

    Erscheinungsdatum :

    2024-07-18


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    H04W WIRELESS COMMUNICATION NETWORKS , Drahtlose Kommunikationsnetze / B64C AEROPLANES , Flugzeuge



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