A practical user mobility prediction algorithm for supporting adaptive QoS in wireless networks

A number of user mobility prediction algorithms have been reported in the literature. These may be used for resource reservation and service pre-configuration/adaptation in future wireless networks to provide QoS guarantees. However, our analysis of some of these techniques using measured cellular performance shows that these models do not accurately represent the mobility patterns of users. As a result, resource reservation schemes need to reserve excessive resources, and the pre-configuration/adaptation does not work well. To overcome this, we propose an adaptive user mobility prediction algorithm that limits the reservation and configuration procedure to a subset of cells around the user. The viability and effectiveness of the proposed scheme is then demonstrated through a simulation based on measured data.