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학술지 Predictive Association Control for Frequent Handover Avoidance in Femtocell Networks
Cited 17 time in scopus Download 1 time Share share facebook twitter linkedin kakaostory
저자
성낙운, Ngoc-Thai Pham, Thong Huynh, 황원주
발행일
201305
출처
IEEE Communications Letters, v.17 no.5, pp.924-927
ISSN
1089-7798
출판사
IEEE
DOI
https://dx.doi.org/10.1109/LCOMM.2013.031913.130127
협약과제
13PI3100, 차세대이동통신 활성화를 위한 엑세스 망 신뢰도 향상 기술개발, 박윤옥
초록
Appropriate base station association decisions in dense femtocell networks help to improve throughput while reducing frequent handovers of mobile stations. We consider the association control problem of mobile stations as an optimal control problem and obtain a rolling-out suboptimal control policy which is based on the predictive mobility of mobile stations. In addition, we derive a simple and lightweight online association control policy for each mobile station. The simulation results show that the proposed method provides large gain in both handover frequency and throughput over the current methods. © 2013 IEEE.
키워드
Association, femtocell, handover, stochastic optimal control
KSP 제안 키워드
Association control, Control policy, Large gain, Mobile station(MS), Online association, Optimal control problem, Stochastic optimal control, Suboptimal control, base station(BS), dense femtocell networks, simulation results