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Joint Analog and Passive Beamforming Design for IRS-Aided Secure Cognitive NOMA Systems

Zhang, J; Wang, W; Tang, J; Zhao, N; Wong, KK; Wang, X; (2023) Joint Analog and Passive Beamforming Design for IRS-Aided Secure Cognitive NOMA Systems. In: IEEE International Conference on Communications. (pp. pp. 4267-4272). IEEE: Rome, Italy. Green open access

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Abstract

Due to the ability of channel reconfiguration, intelligent reflecting surface (IRS) can be used to boost the secrecy rate of cognitive non-orthogonal multiple access (NOMA) systems. However, the cost and hardware complexity of full-digital beamforming in existing related studies is high, especially for the systems with massive antennas. In this paper, we investigate the secure transmission for IRS-aided cognitive NOMA systems with cost-effective analog beamforming. The secrecy rate of primary user is maximized subject to the quality of service constraint of secondary user via joint analog and passive beamforming optimization. Owing to the non-convexity, we first transform the problem into two subproblems. Then, each subproblem is tackled via the penalty-based algorithm and the successive convex approximation. Simulation results demonstrate that the proposed transmission scheme has higher energy efficiency and can boost the security of IRS-aided cognitive NOMA systems.

Type: Proceedings paper
Title: Joint Analog and Passive Beamforming Design for IRS-Aided Secure Cognitive NOMA Systems
Event: ICC 2023 - IEEE International Conference on Communications
Dates: 28 May 2023 - 1 Jun 2023
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/ICC45041.2023.10278724
Publisher version: http://dx.doi.org/10.1109/icc45041.2023.10278724
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10183743
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