TY - GEN
T1 - Weighted Sum-Rate Maximization for RIS-Assisted MU-MIMO Communication Systems with Low-Resolution ADCs/DACs
AU - Dong, Yingli
AU - Li, Hui
AU - Dong, Limeng
AU - Liang, Rui
AU - Wang, Ruonan
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - This paper focuses on maximizing the weighted sum-rate (WSR) in downlink communication systems that uti-lize reconfigurable intelligent surfaces (RIS) to enhance MU-MIMO transmission. To reduce implementation costs and power consumption, low-resolution ADCs/DACs are configured at the BS. Unlike the traditional design that predicated on perfect channel state information (CSI), we establish a WSR optimization problem given imperfect estimated CSI. Specifically, based on imperfect statistical CSI, we propose a robust weighted minimum mean square error (WMMSE) algorithm to maximize the beam-forming matrix, and then use riemann conjugate gradient (RCG) algorithm to optimize the phase shift vector with the aim of maximizing the WSR for all users. Numerical examples indicate that the proposed scheme improves system's robustness as well as achieves optimal WSR performance using three quantization bits.
AB - This paper focuses on maximizing the weighted sum-rate (WSR) in downlink communication systems that uti-lize reconfigurable intelligent surfaces (RIS) to enhance MU-MIMO transmission. To reduce implementation costs and power consumption, low-resolution ADCs/DACs are configured at the BS. Unlike the traditional design that predicated on perfect channel state information (CSI), we establish a WSR optimization problem given imperfect estimated CSI. Specifically, based on imperfect statistical CSI, we propose a robust weighted minimum mean square error (WMMSE) algorithm to maximize the beam-forming matrix, and then use riemann conjugate gradient (RCG) algorithm to optimize the phase shift vector with the aim of maximizing the WSR for all users. Numerical examples indicate that the proposed scheme improves system's robustness as well as achieves optimal WSR performance using three quantization bits.
KW - imperfect CSI
KW - low-resolution ADCs/DACs
KW - MU-MIMO
KW - Reconfigurable Intelligent Surface (RIS)
KW - WSR
UR - http://www.scopus.com/inward/record.url?scp=85182747230&partnerID=8YFLogxK
U2 - 10.1109/CCISP59915.2023.10355819
DO - 10.1109/CCISP59915.2023.10355819
M3 - 会议稿件
AN - SCOPUS:85182747230
T3 - Proceedings - 2023 8th International Conference on Communication, Image and Signal Processing, CCISP 2023
SP - 559
EP - 563
BT - Proceedings - 2023 8th International Conference on Communication, Image and Signal Processing, CCISP 2023
A2 - Zhang, Jing
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Conference on Communication, Image and Signal Processing, CCISP 2023
Y2 - 17 November 2023 through 19 November 2023
ER -