Mobility prediction model for cellular networks based on the observed traffic patterns

Superior handover processing techniques should be utilized to guarantee that users in future mobile communication networks are able to continue their services without being blocked during handover. Previous studies have shown that handover blocking probability can be reduced by reserving channels exclusively for handover users. However this results in increased blocking probabilities for new users, degrading the overall system performance. It has been observed that the increase in new user blocking probability is mainly due to the permanent allocation of handover channels, even when no handover user requires them. In this paper we propose a method to characterise the behaviour of users in a cellular network. This mobility model can be used to predict the behaviour of mobile users and this prediction information can then be used to define the optimum number of handover only channels at a given time.