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CLC number: TN92

On-line Access: 2024-01-26

Received: 2023-02-27

Revision Accepted: 2024-01-26

Crosschecked: 2023-08-20

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Citations:  Bibtex RefMan EndNote GB/T7714


Xuehui WANG


Feng SHU


Jiangzhou WANG


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Frontiers of Information Technology & Electronic Engineering  2023 Vol.24 No.12 P.1728-1738


Beamforming design for RIS-aided amplify-and-forward relay networks

Author(s):  Xuehui WANG, Feng SHU, Riqing CHEN, Peng ZHANG, Qi ZHANG, Guiyang XIA, Weiping SHI, Jiangzhou WANG

Affiliation(s):  School of Information and Communication Engineering, Hainan University, Haikou 570228, China; more

Corresponding email(s):   wangxuehui0503@163.com, shufeng0101@163.com

Key Words:  Reconfigurable intelligent surface (RIS), Amplify-and-forward (AF) relay, Beamforming, Phase shift, Semidefinite programming, Successive convex approximation

Xuehui WANG, Feng SHU, Riqing CHEN, Peng ZHANG, Qi ZHANG, Guiyang XIA, Weiping SHI, Jiangzhou WANG. Beamforming design for RIS-aided amplify-and-forward relay networks[J]. Frontiers of Information Technology & Electronic Engineering, 2023, 24(12): 1728-1738.

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journal="Frontiers of Information Technology & Electronic Engineering",
publisher="Zhejiang University Press & Springer",

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%T Beamforming design for RIS-aided amplify-and-forward relay networks
%A Xuehui WANG
%A Feng SHU
%A Riqing CHEN
%A Guiyang XIA
%A Weiping SHI
%A Jiangzhou WANG
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%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2300118

T1 - Beamforming design for RIS-aided amplify-and-forward relay networks
A1 - Xuehui WANG
A1 - Feng SHU
A1 - Riqing CHEN
A1 - Peng ZHANG
A1 - Guiyang XIA
A1 - Weiping SHI
A1 - Jiangzhou WANG
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 24
IS - 12
SP - 1728
EP - 1738
%@ 2095-9184
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.2300118

The use of a reconfigurable intelligent surface (RIS) in the enhancement of the rate performance is considered to involve the limitation of the RIS being a passive reflector. To address this issue, we propose a RIS-aided amplify-and-forward (AF) relay network in this paper. By jointly optimizing the beamforming matrix at AF relay and the phase-shift matrices at RIS, two schemes are put forward to address a maximizing signal-to-noise ratio (SNR) problem. First, aiming at achieving a high rate, a high-performance alternating optimization (AO) method based on Charnes–Cooper transformation and semidefinite programming (CCT-SDP) is proposed, where the optimization problem is decomposed into three subproblems solved using CCT-SDP, and rank-one solutions can be recovered using Gaussian randomization. However, the optimization variables in the CCT-SDP method are matrices, leading to extremely high complexity. To reduce the complexity, a low-complexity AO scheme based on Dinkelbachs transformation and successive convex approximation (DT-SCA) is proposed, where the variables are represented in vector form, and the three decoupling subproblems are solved using DT-SCA. Simulation results verify that compared to three benchmarks (i.e., a RIS-assisted AF relay network with random phase, an AF relay network without RIS, and a RIS-aided network without AF relay), the proposed CCT-SDP and DT-SCA schemes can harvest better rate performance. Furthermore, it is revealed that the rate of the low-complexity DT-SCA method is close to that of the CCT-SDP method.


5肯特大学工程学院,英国坎特伯雷市,CT2 7NT


Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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