Adaptive Mobility Load Balancing Algorithm for LTE Small-Cell Networks

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 hando...

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Vydáno v:IEEE transactions on wireless communications Ročník 17; číslo 4; s. 2205 - 2217
Hlavní autoři: Hasan, Md Mehedi, Sungoh Kwon, Jee-Hyeon Na
Médium: Journal Article
Jazyk:angličtina
Vydáno: IEEE 01.04.2018
Témata:
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
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Shrnutí: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.
ISSN:1536-1276
DOI:10.1109/TWC.2018.2789902