Analysis of Traffic Distribution and Blocking Probability in Future Wireless Networks |
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Authors: | Ronald Beaubrun Samuel Pierre Jean Conan |
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Affiliation: | (1) Department of Computer Science and Software Engineering, Faculty of Science and Engineering, Université Laval, Pavillon Adrien-Pouliot, Québec, Qué, Canada, G1K 7P4;(2) Department of Electrical and Computer Engineering, Mobile Computing and Networking Research Laboratory (LARIM), Ecole Polytechnique de Montreal, Montreal, Quebec, Canada |
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Abstract: | Future wireless networks are envisioned to provide good quality multimedia services to mobile users anywhere at anytime. Traditional
analysis of teletraffic in such networks assumes that call arrivals follow a Poisson process, as each cell is being modeled
as an M/G/c/c queueing system. This does not reflect the real situation since handoff traffic arrivals are not generally Poissonian.
In this paper, we propose to model each cell in future wireless networks as a G/G/c/c queueing system. As such a model has
not been explicitly addressed in the literature, our main contribution is to propose a solution which enables to evaluate
both traffic distribution and blocking probability within each cell of the service area. Result analysis reveals that coefficient
of variation of call arrivals has more impact on the network performance than coefficient of variation of channel holding
time. |
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Keywords: | Blocking probability queueing system traffic modeling wireless network |
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