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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Veröffentlicht in:	IEEE transactions on communications Jg. 69; H. 7; S. 4832 - 4846
Hauptverfasser:	Zhang, Qianqian, Liang, Ying-Chang, Poor, H. Vincent
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.07.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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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Cites_doi	10.1109/APS.2002.1018173 10.1109/JIOT.2019.2954678 10.1109/JIOT.2018.2799848 10.23919/JCIN.2019.8917871 10.1109/JSAC.2020.3007043 10.1109/LWC.2019.2962019 10.1109/TCCN.2020.3023139 10.1109/JSAC.2020.3007211 10.1109/JSAC.2020.3000814 10.1109/COMST.2020.3004197 10.1109/ACCESS.2019.2904612 10.1109/ACCESS.2020.2968456 10.1109/TCOMM.2020.3001125 10.1109/JIOT.2020.2980928 10.1109/LWC.2019.2948632 10.1109/LWC.2020.2969664 10.1186/s13638-019-1438-9 10.1561/9781933019505 10.1109/TWC.2020.2990766 10.1109/MWC.001.1900333 10.1137/1.9781611970791 10.1017/CBO9780511807213 10.1017/CBO9781139020411 10.1109/LCOMM.2020.2974196 10.1109/TWC.2018.2849372 10.1109/TWC.2020.2984758 10.1109/ACCESS.2019.2924034 10.1017/CBO9780511804441 10.1109/TWC.2020.3028198 10.1145/2534169.2486015 10.1287/opre.26.4.681 10.1109/TCOMM.2020.3033006 10.1109/JSAC.2020.3000826 10.1109/MWC.001.1900534 10.1109/ACCESS.2019.2897822 10.1109/JSAC.2013.130906 10.1109/TWC.2019.2922609 10.1109/ACCESS.2019.2898474 10.1109/TWC.2020.2994455
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References	ref35 ref13 ref12 ref37 ref15 ref36 ref14 ref31 ref30 ref11 ref32 ref10 chen (ref33) 2019 ref2 ref39 ref17 ref19 ref18 taha (ref34) 2019 ref46 grant (ref42) 2020 ref24 ref45 ref23 you (ref9) 2020; 64 nawaz (ref7) 2020 ref25 ref20 ref41 ref22 ref44 ref21 ref43 hou (ref26) 2019 lin (ref38) 2020; 20 ref28 ref27 ref29 ref8 latva-aho (ref1) 2019 liang (ref16) 2019; 4 ref4 ref3 ref6 ref5 ref40
References_xml	– year: 2020 ident: ref42 article-title: The CVX users. Guide – ident: ref37 doi: 10.1109/APS.2002.1018173 – ident: ref12 doi: 10.1109/JIOT.2019.2954678 – ident: ref5 doi: 10.1109/JIOT.2018.2799848 – volume: 4 start-page: 40 year: 2019 ident: ref16 article-title: Large intelligent surface/antennas (LISA): Making reflective radios smart publication-title: J Commun Inf Netw doi: 10.23919/JCIN.2019.8917871 – ident: ref35 doi: 10.1109/JSAC.2020.3007043 – ident: ref15 doi: 10.1109/LWC.2019.2962019 – ident: ref2 doi: 10.1109/TCCN.2020.3023139 – year: 2019 ident: ref33 article-title: Channel estimation for reconfigurable intelligent surface aided multi-user MIMO systems publication-title: arXiv 1912 03619 – ident: ref17 doi: 10.1109/JSAC.2020.3007211 – ident: ref30 doi: 10.1109/JSAC.2020.3000814 – volume: 64 year: 2020 ident: ref9 article-title: Towards 6G wireless communication networks: Vision, enabling technologies, and new paradigm shifts publication-title: Sci China Inf Sci – ident: ref18 doi: 10.1109/COMST.2020.3004197 – ident: ref11 doi: 10.1109/ACCESS.2019.2904612 – ident: ref27 doi: 10.1109/ACCESS.2020.2968456 – ident: ref20 doi: 10.1109/TCOMM.2020.3001125 – ident: ref14 doi: 10.1109/JIOT.2020.2980928 – ident: ref32 doi: 10.1109/LWC.2019.2948632 – ident: ref28 doi: 10.1109/LWC.2020.2969664 – ident: ref22 doi: 10.1186/s13638-019-1438-9 – year: 2019 ident: ref26 article-title: MIMO assisted networks relying on intelligent reflective surfaces publication-title: arXiv 1910 00959 – year: 2019 ident: ref34 article-title: Enabling large intelligent surfaces with compressive sensing and deep learning publication-title: arXiv 1904 10136 – ident: ref45 doi: 10.1561/9781933019505 – ident: ref31 doi: 10.1109/TWC.2020.2990766 – ident: ref8 doi: 10.1109/MWC.001.1900333 – ident: ref44 doi: 10.1137/1.9781611970791 – ident: ref39 doi: 10.1017/CBO9780511807213 – ident: ref46 doi: 10.1017/CBO9781139020411 – ident: ref25 doi: 10.1109/LCOMM.2020.2974196 – ident: ref6 doi: 10.1109/TWC.2018.2849372 – ident: ref3 doi: 10.1109/TWC.2020.2984758 – ident: ref24 doi: 10.1109/ACCESS.2019.2924034 – ident: ref43 doi: 10.1017/CBO9780511804441 – volume: 20 start-page: 741 year: 2020 ident: ref38 article-title: Reconfigurable intelligent surfaces with reflection pattern modulation: Beamforming design and performance analysis publication-title: IEEE Trans Wireless Commun doi: 10.1109/TWC.2020.3028198 – ident: ref4 doi: 10.1145/2534169.2486015 – year: 2019 ident: ref1 article-title: Key drivers and research challenges for 6G ubiquitous wireless intelligence – ident: ref40 doi: 10.1287/opre.26.4.681 – ident: ref36 doi: 10.1109/TCOMM.2020.3033006 – ident: ref19 doi: 10.1109/JSAC.2020.3000826 – year: 2020 ident: ref7 article-title: Non-coherent and backscatter communications: Enabling ultra-massive connectivity in 6G wireless networks publication-title: arXiv 2005 10937 – ident: ref21 doi: 10.1109/MWC.001.1900534 – ident: ref10 doi: 10.1109/ACCESS.2019.2897822 – ident: ref41 doi: 10.1109/JSAC.2013.130906 – ident: ref23 doi: 10.1109/TWC.2019.2922609 – ident: ref13 doi: 10.1109/ACCESS.2019.2898474 – ident: ref29 doi: 10.1109/TWC.2020.2994455
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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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