earticle

영어

Mobility prediction algorithm is the significant aspect to improve QoS (Quality of Service)
for heterogeneous wireless networks because it decreases handoff latency and preserves
resources in arriving cells for users. Since existing mobility prediction algorithms based on
GPS (Global Positioning System) often suffer from low prediction accuracy for complex and
irregular trajectory, this paper combines support vector regression with local prediction to
propose a novel mobility prediction algorithms based on local support vector regression
(LSVR) to overcome above deficiency. Simulation results show that LSVR algorithm achieves
high prediction accuracy for a size of historical data in three typical mobile scenes.