Dynamic optimization of handover parameters adjustment for conflict avoidance in long term evolution

In order to achieve dynamical optimization of mobility load balancing, we analyze the conflict between mobility load balancing and mobility robustness optimization caused by the improper operation of handover parameters. To this end, a method of Handover Parameters Adjustment for Conflict Avoidance (HPACA) is proposed. Considering the movement of users, HPCAC can dynamically adjust handover range to optimize the mobility load balancing. The movement of users is an important factor of handover, which has a dramatic impact on system performance. The numerical evaluation results show the proposed approach outperforms the existing method in terms of throughput, call blocking ratio, load balancing index, radio link failure ratio, ping-pong handover ratio and call dropping ratio.