Mathematical models for radio signals dynamic range prediction in space-scattered mobile radiocommunication networks

The author presents mathematical models and techniques for evaluating probability of strong input signals during reception in space-scattered radio communication networks, particularly high-capacity cellular networks. To achieve this aim, the m-dimensional Poisson system of random spatial points and a method for “differential” statistical modeling of the radio environment is used. This method implies prediction of statistical characteristics of the ensemble of field (signal) strength values at the reception point. Practical implementation of these models for cellular networks system analysis and simulation is discussed