Probabilistic model for mobility in cellular network subscriber

In this work, we have studied the behavior and mobility of a cellular network subscriber who belong to a determined class such as (personal employee, student, retired and others) between different areas. Our contribution in this work is a proposition of a mobility model that reproduce in deterministic and probabilistic case, the possible traffic of cellular network subscriber between specified areas with different velocity. Our model incorporate many parameters, such as area size, the number of subscribers, areas types, subscribers types, moving velocity and the direction of users moving. The result obtained, show us that the behavior of mobile station in a cellular network can be approximated to a vehicular traffic model in the deterministic and probabilistic case.