Enhanced adaptive periodic mobility load balancing algorithm for LTE femtocell networks

Rapid increase in the number of 4G network users and explosive growth of traffics have led to capacity problem. In addition, cellular network has low Quality of Service (QoS) and coverage holes problem in indoor environment. To solve these problems, many researchers and working groups suggest the femtocell. However, the femtocell has a problem which is that a large amount of loads converges on a small number of femtocells. This problem arise from both human mobility and installation feature of the femtocell. Thus, load balancing algorithm is needed for femtocell networks. In this paper, we suggest the Enhanced Adaptive Periodic Mobility Load Balancing (E-APMLB) algorithm. It is advanced version of both the fixed periodic Mobility Load Balancing (MLB) algorithm and Adaptive Periodic Mobility Load Balancing (APMLB) algorithm which is our previous work. As a result of simulation, our proposed scheme has lower blocking probability and higher throughput than both the fixed periodic MLB algorithm and the APMLB algorithm.