Accuracy of random walk and Markovian mobility models in location prediction methods

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 the estimation and prediction of users' distribution in a cellular network. We compare the accuracy of mobility models serving for location prediction with our enhanced user motion prediction algorithm.