An Approach of Enhancing the Physical Layer Security of RIS-assisted PD-NOMA Networks Based on Stochastic Geometry

FENG Linlin; ZHANG Zhizhong; HU Haonan; PEI Errong; LI Yun

doi:10.11999/JEIT221102

Volume 45 Issue 10

Oct. 2023

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Article Navigation > Journal of Electronics & Information Technology > 2023 > 45(10): 3631-3639

FENG Linlin, ZHANG Zhizhong, HU Haonan, PEI Errong, LI Yun. An Approach of Enhancing the Physical Layer Security of RIS-assisted PD-NOMA Networks Based on Stochastic Geometry[J]. Journal of Electronics & Information Technology, 2023, 45(10): 3631-3639. doi: 10.11999/JEIT221102

Citation:

FENG Linlin, ZHANG Zhizhong, HU Haonan, PEI Errong, LI Yun. An Approach of Enhancing the Physical Layer Security of RIS-assisted PD-NOMA Networks Based on Stochastic Geometry[J]. Journal of Electronics & Information Technology, 2023, 45(10): 3631-3639. doi: 10.11999/JEIT221102

Citation:

FENG Linlin, ZHANG Zhizhong, HU Haonan, PEI Errong, LI Yun. An Approach of Enhancing the Physical Layer Security of RIS-assisted PD-NOMA Networks Based on Stochastic Geometry[J]. Journal of Electronics & Information Technology, 2023, 45(10): 3631-3639. doi: 10.11999/JEIT221102

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An Approach of Enhancing the Physical Layer Security of RIS-assisted PD-NOMA Networks Based on Stochastic Geometry

doi: 10.11999/JEIT221102

1.
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2.
School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China

Funds: The National Natural Science Foundation of China (62001238, 62071077, 61901075), The Special Project for Industry of Ministry of Industry and Information Technology of the People's Republic China (TC210H02P/2)

Received Date: 2022-08-23
Accepted Date: 2023-01-13
Rev Recd Date: 2023-01-05

Available Online: 2023-01-17

Publish Date: 2023-10-31

Abstract

Abstract

The uplink Physical Layer Security (PLS) of large-scale Non-Orthogonal Multiple Access (NOMA)-based Fog access networks with a Reconfigurable Intelligent Surface (RIS)-assisted Cell-Free (CF) framework is investigated in this paper. The spatial effects of Fog-Access Point (F-AP) locations are introduced into the RIS reflecting model design by invoking stochastic geometry and Power Domain (PD) multiplexing schemes, this spatial-repulsion-based co-design approach is proposed to enhance the PLS of the considered system. This system is modeled with reference to a receiver-transmitter pair, the Fisher-Snedecor $\mathcal{F}$ model is adopted to characterize the composite channel, and the RIS reflecting model is redesigned. The analytical expressions of the Security Outage Probability (SOP) for RIS-assisted PD-NOMA scenarios are derived following the newly expressed channel statistics of the combined channel gains. The analytical and simulation results indicate that the proposed RIS redesign is capable of enhancing the edge users’ channel quality effectively to alter the Successive Interference Cancellation (SIC) orders of NOMA user pairs in this investigated network; The PLS performance of this network can be improved by the proposed RIS redesign and repulsively distributed F-AP deployment, where deploying F-APs in a β-Ginibre Point Process (β-GPP) way can reduce a maximum of two orders of magnitude of the SOP and increase a maximum of $10.5\% $ of the security rate without additional deployment costs under the same conditions.
- Physical Layer Security (PLS),
- Reconfigurable Intelligent Surface (RIS),
- Non-Orthogonal Multiple Access (NOMA),
- Stochastic geometry

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References(21)

References

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