The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
본 논문에서는 불완전한 채널 상태 정보(CSI)와 기지국 안테나 어레이 간의 공간 페이딩 상관 관계를 갖는 다중 사용자 MIMO 다운링크에 대한 최적의 선형 송신/수신 처리 필터를 설계하는 방법을 조사합니다. 사용자별 전송 전력 제약 하에서 잡음이 있는 채널 추정에 따른 평균 SMSE(합계 평균 제곱 오차)를 최소화한다는 의미에서 최적의 선형 전송/수신 필터를 얻기 위한 강력한 방식이 제안되었습니다. 제안된 방식은 반복 절차를 사용하여 완벽한 CSI를 갖는 상관되지 않은 단일 사용자 MIMO 시스템에 대한 기존 최적화 알고리즘을 확장하여 불완전한 CSI를 갖는 공간적으로 상관된 MIMO 다운링크에서 SMSE를 최소화하는 문제를 해결합니다. 견고하지 않은 방식과 비교하여, 견고한 방식이 불완전한 CSI로 인한 BER 손실을 효율적으로 완화한다는 것을 보여줍니다. 또한, 제안된 강건 기법의 성능에 대한 BS에서의 페이딩 상관관계의 영향을 분석한다.
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부
Hao LI, Changqing XU, Pingzhi FAN, "Robust Linear Transmit/Receive Processing for Correlated MIMO Downlink with Imperfect CSI" in IEICE TRANSACTIONS on Fundamentals,
vol. E91-A, no. 9, pp. 2626-2636, September 2008, doi: 10.1093/ietfec/e91-a.9.2626.
Abstract: In this paper we investigate designing optimal linear transmit/receive processing filters for multiuser MIMO downlinks with imperfect channel state information (CSI) and spatial fading correlation between antenna array at BS. A robust scheme is proposed to obtain the optimal linear transmit/receive filters in the sense of minimizing the average sum mean square error (SMSE) conditional on noisy channel estimates under a per-user transmit power constraint. Using an iterative procedure, the proposed scheme extends the existing optimization algorithm for uncorrelated single-user MIMO systems with perfect CSI to solve the problem of minimizing SMSE in spatially correlated MIMO downlinks with imperfect CSI. Comparing with non-robust scheme, we show that robust scheme efficiently mitigates the BER loss induced by imperfect CSI. In addition, the impact of fading correlation at BS on the performance of the proposed robust scheme is analyzed.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e91-a.9.2626/_p
부
@ARTICLE{e91-a_9_2626,
author={Hao LI, Changqing XU, Pingzhi FAN, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Robust Linear Transmit/Receive Processing for Correlated MIMO Downlink with Imperfect CSI},
year={2008},
volume={E91-A},
number={9},
pages={2626-2636},
abstract={In this paper we investigate designing optimal linear transmit/receive processing filters for multiuser MIMO downlinks with imperfect channel state information (CSI) and spatial fading correlation between antenna array at BS. A robust scheme is proposed to obtain the optimal linear transmit/receive filters in the sense of minimizing the average sum mean square error (SMSE) conditional on noisy channel estimates under a per-user transmit power constraint. Using an iterative procedure, the proposed scheme extends the existing optimization algorithm for uncorrelated single-user MIMO systems with perfect CSI to solve the problem of minimizing SMSE in spatially correlated MIMO downlinks with imperfect CSI. Comparing with non-robust scheme, we show that robust scheme efficiently mitigates the BER loss induced by imperfect CSI. In addition, the impact of fading correlation at BS on the performance of the proposed robust scheme is analyzed.},
keywords={},
doi={10.1093/ietfec/e91-a.9.2626},
ISSN={1745-1337},
month={September},}
부
TY - JOUR
TI - Robust Linear Transmit/Receive Processing for Correlated MIMO Downlink with Imperfect CSI
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2626
EP - 2636
AU - Hao LI
AU - Changqing XU
AU - Pingzhi FAN
PY - 2008
DO - 10.1093/ietfec/e91-a.9.2626
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E91-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 2008
AB - In this paper we investigate designing optimal linear transmit/receive processing filters for multiuser MIMO downlinks with imperfect channel state information (CSI) and spatial fading correlation between antenna array at BS. A robust scheme is proposed to obtain the optimal linear transmit/receive filters in the sense of minimizing the average sum mean square error (SMSE) conditional on noisy channel estimates under a per-user transmit power constraint. Using an iterative procedure, the proposed scheme extends the existing optimization algorithm for uncorrelated single-user MIMO systems with perfect CSI to solve the problem of minimizing SMSE in spatially correlated MIMO downlinks with imperfect CSI. Comparing with non-robust scheme, we show that robust scheme efficiently mitigates the BER loss induced by imperfect CSI. In addition, the impact of fading correlation at BS on the performance of the proposed robust scheme is analyzed.
ER -