A Two-Layer Mobility Load Balancing in LTE self-organization networks

Self-organization and self-optimization of mobile wireless systems is of utmost importance to operators and vendors and investigated for 3GPP Long Term Evolution (LTE). As one of the most important self-optimization issues, Mobility Load Balancing (MLB) has received much attention until now. In this paper, we present a novel method named as TL-MLB (Two-Layer Mobility Load Balancing) in which the over-load cell can choose target cell according to its neighboring cells´ load and the surrounding environments, and trigger handover behaviors of users by automatically adjusting the cell-specific offsets. The proposed TL-MLB is subject to a system-level simulation which witnesses an improvement in load distribution index, number of unsatisfied users, total handover times and average throughput.