Location uncertainty in mobile networks: a theoretical framework
IEEE Communications Magazine
Mobility modeling, location tracking, and trajectory prediction in wireless ATM networks
IEEE Journal on Selected Areas in Communications
WSC '04 Proceedings of the 36th conference on Winter simulation
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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 straight-forward 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.