ETRI-Knowledge Sharing Plaform

ENGLISH

성과물

논문 검색
구분 SCI
연도 ~ 키워드

상세정보

학술대회 A Joint Adaptive Beamforming and User Scheduling Algorithm for Downlink Network MIMO Systems
Cited 5 time in scopus Download 0 time Share share facebook twitter linkedin kakaostory
저자
문성현, 이창희, 이상림, 이인규
발행일
201306
출처
International Conference on Communications (ICC) 2013, pp.5392-5397
DOI
https://dx.doi.org/10.1109/ICC.2013.6655446
협약과제
12VI1600, 차세대 기지국 환경(기능분산형)에서 다중모드(Multi-RAT) 다층셀(Multi-tier) 지원 통합 액세스 시스템을 위한 기저대역 원천기술개발, 권동승
초록
In this paper, we study multiple-input single-output downlink cellular systems which jointly design adaptive inter-cell interference cancellation and user scheduling assuming that partial channel state information (CSI) is shared among base stations (BSs). Since the optimal solution requires high complexity, we propose a new low complexity algorithm which selects the best users and their beamforming (BF) strategies in terms of maximizing the weighted sum rate. To this end, we first develop a simple threshold criterion for each user to decide the preferred BF strategy based on the derivation of the expected signal-to-interference-plus-noise ratio. Then, according to users' feedback about their decisions, a successive user and BF selection algorithm is performed at the BSs. From simulation results, we show that combined with proportional fair scheduling, the proposed scheme provides excellent sum rate performance with very low computational complexity. © 2013 IEEE.
KSP 제안 키워드
Adaptive beamforming, Cellular system, Channel State Information(CSI), Interference cancellation, Low Computational Complexity, MIMO system, Multiple-input single-output(MISO), Optimal Solution, Partial channel state information, Proportional Fair Scheduling, Scheduling algorithm