Predicting node location in a PCS network

Predicting the location of a mobile via a previously known location can reduce costs over non-predictive methods that always begin paging in the last known location. If the mobility pattern of a mobile can be described by a mathematical model, such as the Gauss-Markov model, a predictive management scheme based on that model is ideal. Typically, however, the mobility pattern of a mobile is too complex to be modeled accurately. In this paper, we propose an adaptive mobility management method which is not based upon a mathematical model. In our method, the location of a mobile is predicted solely on the basis of previously reported locations. We compare our method, through simulations, with a non-predictive method and a method based upon a mathematical model. The results show that our adaptive mobility management method performs well under a wide variety of mobility patterns.