Physical Layer Security For Intelligent Reflecting Surface Assisted Full-duplex Communication

QI Bensheng; RAO Xingnan; DENG Zhixiang; MIAO Hongxia

doi:10.11999/JEIT220547

Volume 45 Issue 6

Jun. 2023

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QI Bensheng, RAO Xingnan, DENG Zhixiang, MIAO Hongxia. Physical Layer Security For Intelligent Reflecting Surface Assisted Full-duplex Communication[J]. Journal of Electronics & Information Technology, 2023, 45(6): 1990-1998. doi: 10.11999/JEIT220547

Citation:

QI Bensheng, RAO Xingnan, DENG Zhixiang, MIAO Hongxia. Physical Layer Security For Intelligent Reflecting Surface Assisted Full-duplex Communication[J]. Journal of Electronics & Information Technology, 2023, 45(6): 1990-1998. doi: 10.11999/JEIT220547

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Physical Layer Security For Intelligent Reflecting Surface Assisted Full-duplex Communication

doi: 10.11999/JEIT220547

QI Bensheng^{1, 2},
RAO Xingnan¹,
DENG Zhixiang^{1, 2
,
,},
MIAO Hongxia^{1, 2}

1.
College of Internet of Things Engineering, Hohai University, Changzhou 213022, China
2.
Jiangsu Key Laboratory of Power Transmission & Distribution Equipment Technology, Changzhou 213022, China

Funds: The Jiangsu Key Laboratory Open Subject of Power Transmission&Distribution Equipment Technology of Jiangsu Province (2021JSSPD05)

Received Date: 2022-05-05
Rev Recd Date: 2022-06-14

Available Online: 2022-06-20

Publish Date: 2023-06-10

Abstract

Abstract

In-band full-duplex is an efficient technology to alleviate the shortage of spectrum resources in wireless communication system. To ensure the information security of the full-duplex communication system, where a Full Duplex Access Point (FD-AP) receives information from the uplink users and transmits information to the downlink users simultaneously, an Intelligent Reflecting Surface (IRS) assisted physical layer security scheme is proposed in this paper. A multi-variable coupling non-convex optimization problem is formulated to maximize the secrecy rate of downlink users, subject to constraints of the maximum transmit power, the minimum Signal-to-Interference and Noise Ratio(SINR) required at the AP and unit modulus of IRS phase shift. To solve the multi-variable coupling optimization problem, the Alternating Optimization (AO) algorithm is adopted to optimize the AP transmit beamforming and IRS reflection phase shift iteratively, and a Riemannian manifold optimization based on exact penalty method is proposed to deal with the unit modulus constraint and transform the phase shift optimization sup-problem into an unconstrained minimization problem on Riemannian manifold. Simulation results show that the proposed scheme can significantly improve the security performance of full-duplex communication system. In addition, compared with the positive SemiDefinite Relaxation (SDR) algorithm, the proposed algorithm has much lower computational complexity.
- Full-duplex communication,
- Physical layer security,
- Intelligent Reflecting Surface (IRS),
- Riemannian manifold optimization,
- Exact penalty method

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References(16)

References

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