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학술대회 A Compressed Analog Feedback Strategy for Spatially Correlated Massive MIMO Systems
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저자
이준호, 이승환
발행일
201209
출처
Vehicular Technology Conference (VTC) 2012 (Fall), pp.1-6
DOI
https://dx.doi.org/10.1109/VTCFall.2012.6399253
협약과제
12PI1200, 스마트 모바일 서비스의 체감 품질 향상을 위한 무선 전송 원천기술 연구, 이승환
초록
In multiuser MIMO systems, the amount of the required feedback increases with the number of transmit antennas to improve the sum rate performance. This feedback overhead is critical when it comes to massive multiple antenna wireless systems. Therefore, we propose a compressed analog feedback scheme. The proposed compressed analog feedback strategy exploits natural correlation characteristics among large-scale multiple antennas in order to reduce feedback overhead. By using the sparse approximation and low dimensional random projection at each mobile station (MS), and convex relaxation based feedback decompression at a base station (BS), the proposed scheme outperforms the uncompressed analog feedback which wastes long time duration and energy, in the consideration of the feedback delay, requiring lower feedback overhead from each MS. © 2012 IEEE.
KSP 제안 키워드
Analog feedback, Convex relaxation, Feedback delay, Feedback overhead, Long Time, Low-dimensional, Massive MIMO system, Mobile station(MS), Multiuser MIMO systems, Sparse approximation, Sum rate