Location Prediction Methods with Markovian Approach and Extended Random Walk Model

Recent wireless networks offer more bandwidth than ever. High quality services are developed and provided by the operators, the number of users is constantly increasing. As the transferred data and the number of terminals are growing, the network providers have to face the increasing complexity of the network management and operation tasks. In this paper we observe one of the main problems that arise in a wireless network, the tracking of the users´ mobility. We compare in detail the accuracy versus the complexity of mobility models serving for location prediction.