Mobility model based handover algorithm in LTE-Advanced

In this paper, we propose a new adaptive pre-handover algorithm according to the characteristics of heterogeneous networks and users´ demands for seamless connection. Firstly, the movement of user is predicted based on Gauss-Markov mobility model. Then, the handover triggering time is decided by the value of reference signal receiving quality (RSRQ) in the predicted position. Finally, a reasonable pre-handover decision based on users´ movement speed and service type in using is made to reduce unnecessary handovers (UHO) and lower handover failure (HOF) rate. Simulation results show that compared with traditional received signal strength (RSS) based handover algorithm, the proposed algorithm makes handover decision more accurate and reasonable. It is successful in decreasing HOF rate and improving system throughput.