Reconfigurable Intelligent Surface Assisted MIMO Symbiotic Radio Networks

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 backscatt...

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Vydané v:	IEEE transactions on communications Ročník 69; číslo 7; s. 4832 - 4846
Hlavní autori:	Zhang, Qianqian, Liang, Ying-Chang, Poor, H. Vincent
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.07.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Antennas Backscattering beamforming Complexity Computational complexity Convexity MIMO communication multiple-input multiple-output (MIMO) Optimization Radio transmitters Receivers Receivers & amplifiers Reconfigurable intelligent surface (RIS) Reconfigurable intelligent surfaces Signal to noise ratio Simulation Symbiosis symbiotic radio (SR)
ISSN:	0090-6778, 1558-0857
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Abstract	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.
AbstractList	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.
Author	Zhang, Qianqian Liang, Ying-Chang Poor, H. Vincent
Author_xml	– sequence: 1 givenname: Qianqian orcidid: 0000-0002-9198-2358 surname: Zhang fullname: Zhang, Qianqian email: qqzhang_kite@163.com organization: National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China (UESTC), Chengdu, China – sequence: 2 givenname: Ying-Chang orcidid: 0000-0003-2671-5090 surname: Liang fullname: Liang, Ying-Chang email: liangyc@ieee.org organization: National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China (UESTC), Chengdu, China – sequence: 3 givenname: H. Vincent orcidid: 0000-0002-2062-131X surname: Poor fullname: Poor, H. Vincent email: poor@princeton.edu organization: Department of Electrical Engineering, Princeton University, Princeton, NJ, USA
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SubjectTerms	Algorithms Antennas Backscattering beamforming Complexity Computational complexity Convexity MIMO communication multiple-input multiple-output (MIMO) Optimization Radio transmitters Receivers Receivers & amplifiers Reconfigurable intelligent surface (RIS) Reconfigurable intelligent surfaces Signal to noise ratio Simulation Symbiosis symbiotic radio (SR)
Title	Reconfigurable Intelligent Surface Assisted MIMO Symbiotic Radio Networks
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