Title :
A method for achieving stable distributions of wireless mobile location in motion simulations
Author_Institution :
Network Solutions Sect., Motorola Inc., Arlington Heights, IL, USA
Abstract :
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
Keywords :
Markov processes; cellular radio; digital simulation; telecommunication computing; Markov chains; Monte Carlo simulation; cellular operations software; motion simulation; stable distributions; stochastic mobility model; subscriber location distribution; system performance; wireless mobile location; Automobiles; Computational modeling; Intelligent networks; Mobile computing; Steady-state; Stochastic processes; Stochastic systems; System performance; Systems engineering and theory; Vehicle dynamics;
Conference_Titel :
Simulation Conference, 2000. Proceedings. Winter
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-6579-8
DOI :
10.1109/WSC.2000.899752
