A Handover Prediction Mechanism Based on Mobility in LTE-A.

3GPP Long Term Evolution-Advanced (LTE-A) defines a wireless network standard for high packet transmission rate and low packet latency provisions. When an user equipment (UE) moves away from signal range of serving cell may cause the received signal strength weakened, even if disconnected. To solve this problem, it is necessary to execute handover procedure. When executed handover procedure, it is may fail because to early handover, to late handover or handover to wrong cell and then occur packet loss or communication interruption problems. In this thesis, we propose predicted handover mechanism. User equipments provide history information for eNBs to estimate the user equipment's location and velocity. Based on history information, our proposed mechanism can achieve to handover the appropriate target cell. Through selecting the target cell efficiently, we can reduce the rate of handover failure and Ping-Pong handover. Finally, improving the UE's QoS. And conducted a simulation integration, combined with the user equipment velocity prediction mechanism and trigger time adjustment mechanism. Experimental results show that compared with the standard user equipment handover process can significantly reduce the rate of handover failure and Ping-Pong handover.