User performance impacts by mobility load balancing enhancement for self-organizing network over LTE system

Mobility load balancing (MLB) is a function where cells suffering from overload forward their load to other cells, which perform early handover for load balancing by adjusting handover parameters. The downlink user traffic performance impacts by the proposed MLB operation has been evaluated and compared through computer simulations in the paper. According to the results, we found that the proposed MLB algorithm achieve MLB gain of as much as 4.1% in average throughput and 12.9% in average delay, and MLB cost of as much as 1.3% in average standard deviation on mobile user equipments (UEs). On the other hand, with regard to fixed UEs, we obtained no MLB gain in average throughput, and MLB cost of as much as 5.5% in average delay and 2.7% in average standard deviation. These results inform that the proposed MLB algorithm is more efficient to mobile UEs than fixed UEs in association with user traffic impact aspect.