ETRI-Knowledge Sharing Plaform

ENGLISH

성과물

논문 검색
구분 SCI
연도 ~ 키워드

상세정보

학술지 Weighted-Sum-Rate-Maximizing Linear Transceiver Filters for the K-User MIMO Interference Channel
Cited 30 time in scopus Download 0 time Share share facebook twitter linkedin kakaostory
저자
신준우, 문재균
발행일
201210
출처
IEEE Transactions on Communications, v.60 no.10, pp.2776-2783
ISSN
0090-6778
출판사
IEEE
DOI
https://dx.doi.org/10.1109/TCOMM.2012.091012.110110
협약과제
12VI1100, 스마트 모바일 서비스를 위한 B4G 이동통신 기술 개발, 박남훈
초록
This letter is concerned with transmit and receive filter optimization for the K-user MIMO interference channel. Specifically, linear transmit and receive filter sets are designed which maximize the weighted sum rate while allowing each transmitter to utilize only the local channel state information. Our approach is based on extending the existing method of minimizing the weighted mean squared error (MSE) for the MIMO broadcast channel to the K-user interference channel at hand. For the case of the individual transmitter power constraint, however, a straightforward generalization of the existing method does not reveal a viable solution. It is in fact shown that there exists no closed-form solution for the transmit filter but simple one-dimensional parameter search yields the desired solution. Compared to the direct filter optimization using gradient-based search, our solution requires considerably less computational complexity and a smaller amount of feedback resources while achieving essentially the same level of weighted sum rate. A modified filter design is also presented which provides desired robustness in the presence of channel uncertainty. © 1972-2012 IEEE.
KSP 제안 키워드
Channel State Information(CSI), Computational complexity, Gradient-based search, K-user Interference channel, MIMO broadcast channel, MIMO interference channels, One-dimensional, Parameter search, Power Constraint, Receive filter optimization, Transmit filter