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Intelligent Reflecting Surface Aided Secure Transmission with Colluding Eavesdroppers

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Intelligent Reflecting Surface-Aided Physical-Layer Security

Part of the book series: Wireless Networks ((WN))

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Abstract

This chapter studies a secure MISO communication system aided by an IRS, where multiple colluding Eves coexist. We aim to maximize the SSR via jointly optimizing the beamforming vectors, the AN and the phase shifts at the IRS subject to the maximum transmit power constraint and unit modulus constraints. To address the non-convex optimization problem, we first propose an AO algorithm based on SDR and obtain a high-quality sub-optimal solution. In order to reduce the high computational complexity, a low-complexity alternating optimization (LC-AO) algorithm is developed, in which the beamforming vectors, AN and the IRS phase shifts are optimized alternately by the generalized power iteration (GPI) and the Riemannian manifold conjugate gradient (RMCG) algorithm, respectively. Simulation results show the advantages of deploying the IRS in improving the system secrecy performance.

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Notes

  1. 1.

    In practice, the results in this chapter serve as theoretical performance upper bounds for the considered system, and can be seen as the benchmark for the imperfect CSI case.

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Authors and Affiliations

  1. School of Information and Communication Engineering, Hainan University, Haikou, China

    Feng Shu

  2. School of Engineering, University of Kent, Canterbury, UK

    Jiangzhou Wang

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  1. Feng Shu
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  2. Jiangzhou Wang
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Shu, F., Wang, J. (2023). Intelligent Reflecting Surface Aided Secure Transmission with Colluding Eavesdroppers. In: Intelligent Reflecting Surface-Aided Physical-Layer Security. Wireless Networks. Springer, Cham. https://doi.org/10.1007/978-3-031-41812-9_7

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  • DOI: https://doi.org/10.1007/978-3-031-41812-9_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-41811-2

  • Online ISBN: 978-3-031-41812-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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