GPS based predictive resource allocation in cellular networks

Traditionally in cellular networks, mobile terminals operate via their base stations. However, due to bandwidth and resource constraints, there is an upper bound on the number of mobile terminals that can be handled by a given base station, which may lead to rejection of an incoming request. The call dropping rate can be minimized by allocating resources in neighboring cells based on the location of the mobile devices. Here we propose that GPS receivers be interfaced with the mobile terminals to provide the location information. A new architecture has been proposed, in which the cell assignment is handled dynamically through estimation of the location of mobile terminals by a resource allocation center. The proposed predictive mobility algorithm was simulated and the results are presented. The simulation results show that the GPS based prediction is able to reduce the hand-off call dropping by as much as 38% for heavy traffic conditions.