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Physical Layer Security of Intelligent Reflective Surface Aided NOMA Networks.

Tang, Z., Hou, T., Liu, Y., Zhang, J. and Hanzo, L., 2022. Physical Layer Security of Intelligent Reflective Surface Aided NOMA Networks. IEEE Transactions on Vehicular Technology, 71 (7), 7821-7834.

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DOI: 10.1109/TVT.2022.3168392


Intelligent reflective surface (IRS) technology is emerging as a promising performance enhancement technique for next-generation wireless networks. Hence, we investigate the physical layer security of the downlink in IRS-aided non-orthogonal multiple access networks in the presence of an eavesdropper, where an IRS is deployed for enhancing the quality by assisting the cell-edge user to communicate with the base station. To characterize the network's performance, the expected value of the new channel statistics is derived for the reflected links in the case of Nakagami-m fading. Furthermore, the performance of the proposed network is evaluated both in terms of the secrecy outage probability~(SOP) and the average secrecy capacity (ASC). The closed-form expressions of the SOP and the ASC are derived. We also study the impact of various network parameters on the overall performance of the network considered. To obtain further insights, the secrecy diversity orders and the high signal-to-noise ratio slopes are obtained. We finally show that: 1) the expectation of the channel gain in the reflected links is determined both by the number of IRSs and by the Nakagami- m fading parameters; 2)~The SOP of both receiver 1 and receiver 2 becomes unity, when the number of IRSs is sufficiently high; 3) The secrecy diversity orders are affected both by the number of IRSs and by the Nakagami-m fading parameters, whereas the high-SNR slopes are not affected by these parameters. Our Monte-Carlo simulations perfectly demonstrate the analytical results.

Item Type:Article
Additional Information:L. Hanzo would like to acknowledge the financial support of the Engineering and Physical Sciences Research Council projects EPP0342841 and EPP0039901 COALESCE as well as of the European Research Councils Advanced Fellow Grant QuantCom Grant No. 789028. “© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.”
Uncontrolled Keywords:NOMA; Rayleigh channels; Array signal processing; Signal to noise ratio; Physical layer security; Downlink; Conferences; Intelligent reflective surface; non-orthogonal multiple access; physical layer security
Group:Faculty of Science & Technology
ID Code:36860
Deposited By: Symplectic RT2
Deposited On:05 May 2022 09:11
Last Modified:01 Sep 2022 11:50


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