Weighted Sum Secrecy Rate Optimization for Cooperative Double-IRS-Assisted Multiuser Network
In this paper, we present a double-intelligent reflecting surfaces (IRS)-assisted multiuser secure system where the inter-IRS channel is considered. In particular, we maximize the weighted sum secrecy rate of the system by jointly optimizing the beamforming vector for transmitted signal and artifici...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-01-01
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| Series: | IET Signal Processing |
| Online Access: | http://dx.doi.org/10.1049/2024/7768640 |
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| author | Shaochuan Yang Kaizhi Huang Hehao Niu Yi Wang Zheng Chu Gaojie Chen Zhen Li |
| author_facet | Shaochuan Yang Kaizhi Huang Hehao Niu Yi Wang Zheng Chu Gaojie Chen Zhen Li |
| author_sort | Shaochuan Yang |
| collection | DOAJ |
| description | In this paper, we present a double-intelligent reflecting surfaces (IRS)-assisted multiuser secure system where the inter-IRS channel is considered. In particular, we maximize the weighted sum secrecy rate of the system by jointly optimizing the beamforming vector for transmitted signal and artificial noise at the base station (BS) and the cooperative phase shifts of two IRSs, under the constraints of transmission power at the BS and the unit-modulus phase shift of IRSs. To tackle the nonconvexity of the optimization problem, we first convert the objective function to its concave lower bound by utilizing a novel successive convex approximation technique, then solve the transformed problem iteratively by applying an alternating optimization method. The Lagrange dual method, Karush–Kuhn–Tucker conditions, and alternating direction method of multipliers are applied to develop a low-complexity solution for each subproblem. Finally, simulation results are provided to verify the advantages of the cooperative double-IRS scheme in comparison with the benchmark schemes. |
| format | Article |
| id | doaj-art-cf81fa9aa2e14e2984ecfadf479fdf1e |
| institution | Kabale University |
| issn | 1751-9683 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Signal Processing |
| spelling | doaj-art-cf81fa9aa2e14e2984ecfadf479fdf1e2025-02-03T05:54:34ZengWileyIET Signal Processing1751-96832024-01-01202410.1049/2024/7768640Weighted Sum Secrecy Rate Optimization for Cooperative Double-IRS-Assisted Multiuser NetworkShaochuan Yang0Kaizhi Huang1Hehao Niu2Yi Wang3Zheng Chu4Gaojie Chen5Zhen Li6Wireless Communication Technology OfficeWireless Communication Technology OfficeSixty-Third Research InstituteSchool of Electronics and InformationInstitute for Communication Systems (ICS)5GIC and 6GICShaanxi Key Laboratory of Information Communication Network and SecurityIn this paper, we present a double-intelligent reflecting surfaces (IRS)-assisted multiuser secure system where the inter-IRS channel is considered. In particular, we maximize the weighted sum secrecy rate of the system by jointly optimizing the beamforming vector for transmitted signal and artificial noise at the base station (BS) and the cooperative phase shifts of two IRSs, under the constraints of transmission power at the BS and the unit-modulus phase shift of IRSs. To tackle the nonconvexity of the optimization problem, we first convert the objective function to its concave lower bound by utilizing a novel successive convex approximation technique, then solve the transformed problem iteratively by applying an alternating optimization method. The Lagrange dual method, Karush–Kuhn–Tucker conditions, and alternating direction method of multipliers are applied to develop a low-complexity solution for each subproblem. Finally, simulation results are provided to verify the advantages of the cooperative double-IRS scheme in comparison with the benchmark schemes.http://dx.doi.org/10.1049/2024/7768640 |
| spellingShingle | Shaochuan Yang Kaizhi Huang Hehao Niu Yi Wang Zheng Chu Gaojie Chen Zhen Li Weighted Sum Secrecy Rate Optimization for Cooperative Double-IRS-Assisted Multiuser Network IET Signal Processing |
| title | Weighted Sum Secrecy Rate Optimization for Cooperative Double-IRS-Assisted Multiuser Network |
| title_full | Weighted Sum Secrecy Rate Optimization for Cooperative Double-IRS-Assisted Multiuser Network |
| title_fullStr | Weighted Sum Secrecy Rate Optimization for Cooperative Double-IRS-Assisted Multiuser Network |
| title_full_unstemmed | Weighted Sum Secrecy Rate Optimization for Cooperative Double-IRS-Assisted Multiuser Network |
| title_short | Weighted Sum Secrecy Rate Optimization for Cooperative Double-IRS-Assisted Multiuser Network |
| title_sort | weighted sum secrecy rate optimization for cooperative double irs assisted multiuser network |
| url | http://dx.doi.org/10.1049/2024/7768640 |
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