Applied neural network for location prediction and resource reservation scheme in wireless networks

In this paper, NPS (Neural network Prediction Scheme) is proposed to provide high accuracy location prediction of Mobile Host (MH) in target cell. Multimedia communications is urgently expected in wireless networks. One of the most important and complicated issues is quality of service guarantees in third-generation (3G) wireless networks. In other words, the problem to maintain the continuity of multimedia playing during the handoff is hard to solve. In order to avoid too early or over reservation resulting in a waste of resource, in this study, we present a method called TTRR (Three Times Resource Reservation Scheme), to let reserved resource become really active upon MH entering into Tire-2 [5] area of a cell. NSP and TTRR can efficiently improve the accuracy of MH's trajectory prediction, increase the success probability of resource reservation, and enhance bandwidth utilization.