Research on Physical Layer Security Communication Based on Distributed Intelligent Reflective Surface

FENG Youhong; ZHANG Yan’e; DONG Guoqing

doi:10.11999/JEIT220659

Volume 45 Issue 6

Jun. 2023

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Article Navigation > Journal of Electronics & Information Technology > 2023 > 45(6): 2081-2088

FENG Youhong, ZHANG Yan’e, DONG Guoqing. Research on Physical Layer Security Communication Based on Distributed Intelligent Reflective Surface[J]. Journal of Electronics & Information Technology, 2023, 45(6): 2081-2088. doi: 10.11999/JEIT220659

Citation:

FENG Youhong, ZHANG Yan’e, DONG Guoqing. Research on Physical Layer Security Communication Based on Distributed Intelligent Reflective Surface[J]. Journal of Electronics & Information Technology, 2023, 45(6): 2081-2088. doi: 10.11999/JEIT220659

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Research on Physical Layer Security Communication Based on Distributed Intelligent Reflective Surface

doi: 10.11999/JEIT220659

FENG Youhong^{1, 2},
ZHANG Yan’e^{1
,
,},
DONG Guoqing^{1, 2}

1.
School of Physics and Electronic Information, Anhui Normal University, Wuhu 241000, China
2.
Anhui Provincial Engineering Laboratory on Information Fusion and Control of Intelligent Robot, Wuhu 241000, China

Funds: The National Natural Science Foundation of China (62071005), The Natural Science Foundation of Anhui Province (2008085MF181), The Natural Science Research Program of Anhui Educational Committee (KJ2019A0936)

Received Date: 2022-05-23
Accepted Date: 2022-09-08
Rev Recd Date: 2022-08-31

Available Online: 2022-09-13

Publish Date: 2023-06-10

Abstract

Abstract

Intelligent Reflecting Surface (IRS) has been widely used in the after 5G and 6G to increase the communication efficiency by adjusting the wireless transmission channels in real-time. In this paper, the use of distributed IRSs to maximize the secrecy rate is investigated. Considering the constraints for the power, constant-mode and the correlation between the IRS links, the optimization problem of the secrecy rate maximization based on the active beamforming of the base station and IRSs’ phase shifts is formulated. An efficient algorithm is proposed to solve the non-convex optimization problem by using the fractional programming and manifold optimization methods. Finally, simulation results confirm, compared with the conservative methods, the proposed algorithm can significantly improve the secrecy communication rate. Furthermore, the results unveil that the distributed IRS scheme achieves a significant secure performance improvement over the centralized IRS.
- Physical layer security communication,
- Intelligent Reflecting Surface (IRS),
- Distributed,
- Correlation,
- Non-convex optimization

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References(22)

References

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