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.

Abstract: Realistic models and processes for simulation of wireless information transport systems are provided which replicate all time and frequency dynamics effects on stationary and mobile communications systems. The preferred embodiment is a realsitic modeling apparatus for simulation of wireless information transport systems comprising a data entry module, a communications traffic selection module, a driver database, and voice and data input modules furnishing a simulation input to a network simulation module. The network simulation module having communications realism effects, a DIS structure, a channel error-burst model to transmit random errors, and a multipath modeling module to integrate deterministic and stochastic effects.

Abstract: A model relating obstruction fading to meteorological variables allows more precise prediction of the optimum height of microwave antenna systems. This allows the annual outage time for a circuit to be held to less than a specified maximum value, while at the same time minimizing construction costs by avoiding excessive tower heights. The predictions are especially improved over prior art engineering assumptions in coastal regions.