TY - JOUR
T1 - Beamforming Design for Multiuser Transmission through Reconfigurable Intelligent Surface
AU - Yang, Zhaohui
AU - Xu, Wei
AU - Huang, Chongwen
AU - Shi, Jianfeng
AU - Shikh-Bahaei, Mohammad
N1 - Funding Information:
Manuscript received February 13, 2020; revised July 24, 2020 and September 22, 2020; accepted September 22, 2020. Date of publication October 2, 2020; date of current version January 15, 2021. This work was supported in part by the EPSRC through the Scalable Full Duplex Dense Wireless Networks (SENSE) grant EP/P003486/1, by the Natural Science Foundation of China under Grants NSFC-61871109, and NSFC-61941115. The associate editor coordinating the review of this article and approving it for publication was D. W. K. Ng. (Corresponding author: Wei Xu.) Zhaohui Yang and Mohammad Shikh-Bahaei are with the Centre for Telecommunications Research, Department of Engineering, King’s College London, London WC2R 2LS, U.K. (e-mail: [email protected]; [email protected]).
Publisher Copyright:
© 1972-2012 IEEE.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/1
Y1 - 2021/1
N2 - This article investigates the problem of resource allocation for multiuser communication networks with a reconfigurable intelligent surface (RIS)-assisted wireless transmitter. In this network, the sum transmit power of the network is minimized by controlling the phase beamforming of the RIS and transmit power of the base station. This problem is posed as a joint optimization problem of transmit power and RIS control, whose goal is to minimize the sum transmit power under signal-to-interference-plus-noise ratio (SINR) constraints of the users. To solve this problem, a dual method is proposed, where the dual problem is obtained as a semidefinite programming problem. After solving the dual problem, the phase beamforming of the RIS is obtained in the closed form, while the optimal transmit power is obtained by using the standard interference function. Simulation results show that the proposed scheme can reduce up to 94% and 27% sum transmit power compared to the maximum ratio transmission (MRT) beamforming and zero-forcing (ZF) beamforming techniques, respectively.
AB - This article investigates the problem of resource allocation for multiuser communication networks with a reconfigurable intelligent surface (RIS)-assisted wireless transmitter. In this network, the sum transmit power of the network is minimized by controlling the phase beamforming of the RIS and transmit power of the base station. This problem is posed as a joint optimization problem of transmit power and RIS control, whose goal is to minimize the sum transmit power under signal-to-interference-plus-noise ratio (SINR) constraints of the users. To solve this problem, a dual method is proposed, where the dual problem is obtained as a semidefinite programming problem. After solving the dual problem, the phase beamforming of the RIS is obtained in the closed form, while the optimal transmit power is obtained by using the standard interference function. Simulation results show that the proposed scheme can reduce up to 94% and 27% sum transmit power compared to the maximum ratio transmission (MRT) beamforming and zero-forcing (ZF) beamforming techniques, respectively.
KW - beamforming design
KW - phase shift optimization
KW - power minimization
KW - reconfigurable intelligent surface
KW - Resource allocation
KW - semidefinite programming
UR - http://www.scopus.com/inward/record.url?scp=85099773089&partnerID=8YFLogxK
U2 - 10.1109/TCOMM.2020.3028309
DO - 10.1109/TCOMM.2020.3028309
M3 - Article
AN - SCOPUS:85099773089
SN - 0090-6778
VL - 69
SP - 589
EP - 601
JO - IEEE TRANSACTIONS ON COMMUNICATIONS
JF - IEEE TRANSACTIONS ON COMMUNICATIONS
IS - 1
M1 - 9211520
ER -