ETRI-Knowledge Sharing Plaform

ENGLISH

성과물

논문 검색
구분 SCI
연도 ~ 키워드

상세정보

학술지 Adaptive Mobility Load Balancing Algorithm for LTE Small-Cell Networks
Cited 71 time in scopus Download 9 time Share share facebook twitter linkedin kakaostory
저자
Md Mehedi Hasan, 권성오, 나지현
발행일
201804
출처
IEEE Transactions on Wireless Communications, v.17 no.4, pp.2205-2217
ISSN
1536-1276
출판사
IEEE
DOI
https://dx.doi.org/10.1109/TWC.2018.2789902
협약과제
17HF1600, (통합)초연결 스마트 서비스를 위한 5G 이동통신 핵심기술개발, 정현규
초록
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.
KSP 제안 키워드
Adaptive threshold, Cell Coverage, Cell load, Dense deployment, Handover parameters, High data rate, Load estimation, Long term Evolution(LTE), Moving loads, Network load, Network throughput