A new topology-based algorithm for next cell prediction in cellular networks

In mobile communication systems of the 3^rd and 4^th generation the mobile users are expected to demand the same quality of service (QoS) available to fixed users. To investigate the performance of predictive schemes a new mobility model is derived that simulates human behavior in realistic environments. This paper also presents a new adaptive scheme for micro-cellular environments that combines stochastic information with topological information about the cell region to predict the next cell to be visited by the subscriber. The results show that the presented algorithm provides a high prediction accuracy in realistic environments.