Practical RIS-Aided Multiuser Communications With Imperfect CSI: Practical Model, Amplitude Feedback, and Beamforming Optimization

Reconfigurable intelligent surfaces (RIS) can dynamically reconstruct wireless environments to enhance spectral efficiency. However, most existing studies have ignored the impact of the phase error and imperfect amplitude gain of the RIS. In this paper, we investigate the practical RIS-aided multius...

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Veröffentlicht in:	IEEE transactions on wireless communications Jg. 23; H. 10; S. 15245 - 15260
Hauptverfasser:	Zhang, Qian, Liu, Ju, Tang, Haoge, Dong, Zheng, Li, Yonghui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.10.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Amplitudes Beamforming beamforming optimization Channel estimation Closed form solutions Communications systems correlated channel Couplings Design optimization Error analysis Exact solutions Feedback low-complexity algorithm Optimization Optimization algorithms Phase error Phase shift practical amplitude measurability Practical reconfigurable intelligent surface (RIS) Precoding Quantization (signal) Reconfigurable intelligent surfaces surrogate expression Wireless communication
ISSN:	1536-1276, 1558-2248
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Abstract	Reconfigurable intelligent surfaces (RIS) can dynamically reconstruct wireless environments to enhance spectral efficiency. However, most existing studies have ignored the impact of the phase error and imperfect amplitude gain of the RIS. In this paper, we investigate the practical RIS-aided multiuser communication systems by maximizing the sum of users' average achievable rate, filling the current research gap. Specifically, a novel RIS phase shift design approach, namely amplitude feedback (AF), is proposed by utilizing the coupling relationship between the amplitude and phase to derive the optimal phase shift under the worst phase error. The feasibility of AF is demonstrated by proving the measurability of amplitude response through the electromagnetic theory. We propose a channel estimation design with low pilot overhead and provide an effective closed-form achievable rate to approximate the average achievable rate. Moreover, an efficient optimization algorithm is proposed to achieve the optimal closed-form precoding at the base station and the optimal trade-off design between the amplitude and phase of RIS, and the algorithm is extended to active RIS systems. Numerical results demonstrate that our proposed AF method and optimization algorithm can efficiently improve the performance in terms of achievable sum rate compared to existing methods.
AbstractList	Reconfigurable intelligent surfaces (RIS) can dynamically reconstruct wireless environments to enhance spectral efficiency. However, most existing studies have ignored the impact of the phase error and imperfect amplitude gain of the RIS. In this paper, we investigate the practical RIS-aided multiuser communication systems by maximizing the sum of users’ average achievable rate, filling the current research gap. Specifically, a novel RIS phase shift design approach, namely amplitude feedback (AF), is proposed by utilizing the coupling relationship between the amplitude and phase to derive the optimal phase shift under the worst phase error. The feasibility of AF is demonstrated by proving the measurability of amplitude response through the electromagnetic theory. We propose a channel estimation design with low pilot overhead and provide an effective closed-form achievable rate to approximate the average achievable rate. Moreover, an efficient optimization algorithm is proposed to achieve the optimal closed-form precoding at the base station and the optimal trade-off design between the amplitude and phase of RIS, and the algorithm is extended to active RIS systems. Numerical results demonstrate that our proposed AF method and optimization algorithm can efficiently improve the performance in terms of achievable sum rate compared to existing methods.
Author	Zhang, Qian Dong, Zheng Tang, Haoge Liu, Ju Li, Yonghui
Author_xml	– sequence: 1 givenname: Qian orcidid: 0009-0006-5257-9204 surname: Zhang fullname: Zhang, Qian email: qianzhang2021@mail.sdu.edu.cn organization: School of Information Science and Engineering, Shandong University, Qingdao, China – sequence: 2 givenname: Ju orcidid: 0000-0003-3160-9233 surname: Liu fullname: Liu, Ju email: juliu@sdu.edu.cn organization: School of Information Science and Engineering, Shandong University, Qingdao, China – sequence: 3 givenname: Haoge surname: Tang fullname: Tang, Haoge email: 202221020821@std.uestc.edu.cn organization: School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China – sequence: 4 givenname: Zheng orcidid: 0000-0002-9224-324X surname: Dong fullname: Dong, Zheng email: zhengdong@sdu.edu.cn organization: School of Information Science and Engineering, Shandong University, Qingdao, China – sequence: 5 givenname: Yonghui orcidid: 0000-0001-7702-1123 surname: Li fullname: Li, Yonghui email: yonghui.li@sydney.edu.au organization: School of Electrical and Information Engineering, The University of Sydney, Sydney, Australia
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Snippet	Reconfigurable intelligent surfaces (RIS) can dynamically reconstruct wireless environments to enhance spectral efficiency. However, most existing studies have...
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SubjectTerms	Algorithms Amplitudes Beamforming beamforming optimization Channel estimation Closed form solutions Communications systems correlated channel Couplings Design optimization Error analysis Exact solutions Feedback low-complexity algorithm Optimization Optimization algorithms Phase error Phase shift practical amplitude measurability Practical reconfigurable intelligent surface (RIS) Precoding Quantization (signal) Reconfigurable intelligent surfaces surrogate expression Wireless communication
Title	Practical RIS-Aided Multiuser Communications With Imperfect CSI: Practical Model, Amplitude Feedback, and Beamforming Optimization
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