Performance Analysis of Physical Layer Security for IRS-aided MISO System with Randomly Distributed Eavesdropping Nodes

YANG Jie; JI Xinsheng; WANG Feihu; JIN Liang; YANG Jinmei

doi:10.11999/JEIT210209

Volume 44 Issue 5

May 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(5): 1809-1818

YANG Jie, JI Xinsheng, WANG Feihu, JIN Liang, YANG Jinmei. Performance Analysis of Physical Layer Security for IRS-aided MISO System with Randomly Distributed Eavesdropping Nodes[J]. Journal of Electronics & Information Technology, 2022, 44(5): 1809-1818. doi: 10.11999/JEIT210209

Citation:

YANG Jie, JI Xinsheng, WANG Feihu, JIN Liang, YANG Jinmei. Performance Analysis of Physical Layer Security for IRS-aided MISO System with Randomly Distributed Eavesdropping Nodes[J]. Journal of Electronics & Information Technology, 2022, 44(5): 1809-1818. doi: 10.11999/JEIT210209

Citation:

YANG Jie, JI Xinsheng, WANG Feihu, JIN Liang, YANG Jinmei. Performance Analysis of Physical Layer Security for IRS-aided MISO System with Randomly Distributed Eavesdropping Nodes[J]. Journal of Electronics & Information Technology, 2022, 44(5): 1809-1818. doi: 10.11999/JEIT210209

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Performance Analysis of Physical Layer Security for IRS-aided MISO System with Randomly Distributed Eavesdropping Nodes

doi: 10.11999/JEIT210209

1.
PLA Strategic Support Force Information Engineering University, Zhengzhou 450002, China
2.
Network Communication and Security Purple Mountain Laboratory, Nanjing 210000, China

Funds: The National Natural Science Foundation of China (61871404), The National Natural Science Foundation Innovative Groups Project of China (61521003), The Key Universities and Academic Disciplines Contruction Project

Received Date: 2021-03-11
Accepted Date: 2021-09-22
Rev Recd Date: 2021-09-22

Available Online: 2021-12-19

Publish Date: 2022-05-25

Abstract

Abstract

The security performance of Multiple-Input Single-Output (MISO) system with the aid of the Intelligent Reflecting Surface (IRS) is analyzed in this paper, where eavesdropping nodes are randomly distributed. The stochastic geometry theory is utilized to model the eavesdropping nodes as a homogeneous Poisson Point Process (PPP). With the transmit antenna selection strategy, the legitimate node selects the optimal link to transmit signal. And the phase shifts at the IRS are tuned to enhance the selected link quality. Then, considering the transmission secrecy outage probability as the performance metric, the closed expression of scheme is derived. Further, the impact of the parameters, such as the number of reflection units and transmitting antennas, on the outage probability is analyzed. Finally, the design strategy of parameters for maximizing the security performance is given. The simulation results verify the theoretical analysis and show that the proposed scheme can improve the security performance under low energy consumption.
- Intelligent Reflecting Surface (IRS),
- Physical layer security,
- Stochastic geometry,
- Performance analysis

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References(21)

References

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