A method for achieving stable distributions of wireless mobile location in motion simulations

A cellular engineer typically estimates system performance via simulation. Most cellular operations software provides data from which one can infer the average, busy hour, subscriber location distribution, which becomes an input to the simulation. When the simulation does not include mobility, as is typical with Monte Carlo simulations, modeling this distribution is a straightforward task. However, when the simulation models mobility, it must do so in such a way that the subscriber location distribution is stable. We introduce a stochastic mobility model for the purpose of achieving and stabilizing a priori subscriber location distributions