Adaptive mobility management in cellular networks with multiple model-based prediction

With the spread of smartphones and machine-to-machine devices that communicate via cellular networks, mobility and communication characteristics in cellular networks have become diverse. However, because existing cellular networks are designed for human-to-human communication, mobility management in cellular networks is not necessarily effective. In this paper, we propose an adaptive method of designing registration and paging areas to reduce costs in the mobility management of cellular networks. The proposed method uses the interacting multiple model algorithm to support multiple motion models that switch over time.