TY - JOUR
T1 - Reconfigurable Intelligent Surface Assisted MIMO Symbiotic Radio Networks
AU - Zhang, Qianqian
AU - Liang, Ying Chang
AU - Poor, H. Vincent
N1 - Funding Information:
Manuscript received July 27, 2020; revised January 29, 2021; accepted March 20, 2021. Date of publication March 31, 2021; date of current version July 15, 2021. This work was supported in part by the National Natural Science Foundation of China under Grant 61631005, Grant U1801261, and Grant 61571100, the National Key Research and Development Program of China under Grant 2018YFB1801105, the Key Areas of Research and Development Program of Guangdong Province, China, under Grant 2018B010114001, the Fundamental Research Funds for the Central Universities under Grant ZYGX2019Z022, the Programme of Introducing Talents of Discipline to Universities under Grant B20064, and in part by the U.S. National Science Foundation Grant CCF-1908308. The associate editor coordinating the review of this article and approving it for publication was S. Aissa. (Corresponding author: Ying-Chang Liang.) Qianqian Zhang is with the National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China (UESTC), Chengdu 611731, China, and also with the Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou 313001, China (e-mail: qqzhang_kite@163.com).
Publisher Copyright:
© 1972-2012 IEEE.
PY - 2021/7
Y1 - 2021/7
N2 - In this paper, a novel reconfigurable intelligent surface (RIS)-assisted multiple-input multiple-output (MIMO) symbiotic radio (SR) system is proposed, in which an RIS, operating as a secondary transmitter (STx), sends messages to a multi-antenna secondary receiver (SRx) by using cognitive backscattering communication, and simultaneously, it enhances the primary transmission from a multi-antenna primary transmitter (PTx) to a multi-antenna primary receiver (PRx) by intelligently reconfiguring the wireless environment. We are interested in the joint design of active transmit beamformer at the PTx and passive reflecting beamformer at the STx to minimize the total transmit power at the PTx, subject to the signal-to-noise-ratio (SNR) constraint for the secondary transmission and the rate constraint for the primary transmission. Due to the non-convexity of the formulated problem, we decouple the original problem into a series of subproblems using the alternating optimization method and then iteratively solve them. The convergence performance and computational complexity of the proposed algorithm are analyzed. Furthermore, we develop a low-complexity algorithm to design the reflecting beamformer by solving a backscatter link enhancement problem through the semi-definite relaxation (SDR) technique. Then, theoretical analysis is performed to reveal the insights of the proposed system. Finally, simulation results are presented to validate the effectiveness of the proposed algorithms and the superiority of the proposed system.
AB - In this paper, a novel reconfigurable intelligent surface (RIS)-assisted multiple-input multiple-output (MIMO) symbiotic radio (SR) system is proposed, in which an RIS, operating as a secondary transmitter (STx), sends messages to a multi-antenna secondary receiver (SRx) by using cognitive backscattering communication, and simultaneously, it enhances the primary transmission from a multi-antenna primary transmitter (PTx) to a multi-antenna primary receiver (PRx) by intelligently reconfiguring the wireless environment. We are interested in the joint design of active transmit beamformer at the PTx and passive reflecting beamformer at the STx to minimize the total transmit power at the PTx, subject to the signal-to-noise-ratio (SNR) constraint for the secondary transmission and the rate constraint for the primary transmission. Due to the non-convexity of the formulated problem, we decouple the original problem into a series of subproblems using the alternating optimization method and then iteratively solve them. The convergence performance and computational complexity of the proposed algorithm are analyzed. Furthermore, we develop a low-complexity algorithm to design the reflecting beamformer by solving a backscatter link enhancement problem through the semi-definite relaxation (SDR) technique. Then, theoretical analysis is performed to reveal the insights of the proposed system. Finally, simulation results are presented to validate the effectiveness of the proposed algorithms and the superiority of the proposed system.
KW - Reconfigurable intelligent surface (RIS)
KW - beamforming
KW - multiple-input multiple-output (MIMO)
KW - symbiotic radio (SR)
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U2 - 10.1109/TCOMM.2021.3070043
DO - 10.1109/TCOMM.2021.3070043
M3 - Article
AN - SCOPUS:85103768118
SN - 0090-6778
VL - 69
SP - 4832
EP - 4846
JO - IEEE Transactions on Communications
JF - IEEE Transactions on Communications
IS - 7
M1 - 9391685
ER -