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Abstract

A method for automatically planning and managing the performance of a communications network comprising a propagation forecasting step where propagation forrecast algorithms form a propagation forecast from weather inputs and a traffic forecasting step where traffic forecast algorithms form a traffic forecast from traffic data inputs and a network planning step where planning algorithms display an automated network model. During a forecast updating step, meteorological measurements and radio traffic measurements are continuously provided, resulting in adjusted propagation and traffic forecasts, which are then followed by a network realignment step to adjust the network. During a model comparison step, an artificial intelligence program continuously compares the model, the model adjustments, the realigned network and the network performance parameters with each other. A coefficient adjustment step adjusts the propagation, traffic and planning algorithms. In a reconfiguration instructions step, taking into account the meteorological and radio traffic measurements, the adjusted propagation forecast, the adjusted traffic forecast and network performance parameters, reconfiguration instructions are developed and transmitted to network operators. Also provided is an automated communications network planning apparatus for converting meteorological data and traffic data into a network model, capable of adjustment and updating, shown on a network terminal display.

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First Claim