A Prediction-Based Handover Trigger Time Selection Strategy in Varying Network Overlapping Environment

Emergence of various radio access networks enables users to communicate with each other anytime and anywhere. Handover management strategy directly influences the user's service continuity performance and quality of service. In this paper, we propose a handover trigger time selection strategy based on the prediction of received signal strength. With auto-regression model, the mobile terminal predicts both the earliest and the latest handover trigger time threshold, and then determines the optimal trigger time. Simulation results show that our proposed method can almost eliminate handover failure and has a good adaptability to the varying network overlapping environment.