A Mobility Management Technique with Simple Handover Prediction for 3G LTE Systems

Fast and seamless handover are also weighty issues in 3G LTE systems. Although cross-layer optimization and mobility prediction are well-known techniques for obtaining that goal, they have not been accepted in 3G or 3G LTE systems yet due to their insufficient cost/performance ratio. In order to overcome that problem, this paper proposes a mobility management technique which uses simple handover prediction based on cross-layer architecture. The proposed prediction technique uses both simple moving average for (sub-)inertial movements and simple mobility pattern matching for non-inertial movements. New reporting events are introduced for UE´s measurement reports and a handover prediction algorithm are designed for eNodeB´s handover preparation. In the simulation with two random waypoint models, the proposed technique shows less number of handovers and lower rate of ping-pong handovers than the UMTS standard mobility technique.