Adaptive Mobility Load Balancing Algorithm for LTE Small-Cell Networks

• Published in: IEEE transactions on wireless communications Vol. 17; no. 4; pp. 2205 - 2217
• Main Authors: Hasan, Md Mehedi, Sungoh Kwon, Jee-Hyeon Na
• Format: Journal Article
• Language: English
• Published: IEEE 01.04.2018
• Subjects: cell individual offset; Handover; load estimation; Load management; Long Term Evolution; measurement reporting; mobility load-balancing; OFDM; Quality of service; self-organizing network; Small-cell network; Throughput
• ISSN: 1536-1276
• DOI: 10.1109/TWC.2018.2789902

Small cells were introduced to support high data-rate services and for dense deployment. Owing to user equipment (UE) mobility and small-cell coverage, the load across a small-cell network recurrently becomes unbalanced. Such unbalanced loads result in performance degradation in throughput and handover success and can even cause radio link failure. In this paper, we propose a mobility load balancing algorithm for small-cell networks by adapting network load status and considering load estimation. To that end, the proposed algorithm adjusts handover parameters depending on the overloaded cells and adjacent cells. Resource usage depends on signal qualities and traffic demands of connected UEs in long-term evolution. Hence, we define a resource block-utilization ratio as a measurement of cell load and employ an adaptive threshold to determine overloaded cells, according to the network load situation. Moreover, to avoid performance oscillation, the impact of moving loads on the network is considered. Through system-level simulations, the performance of the proposed algorithm is evaluated in various environments. Simulation results show that the proposed algorithm provides a more balanced load across networks (i.e., smaller standard deviation across the cells) and higher network throughput than previous algorithms.