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An intelligent reflecting surface (IRS) is proposed to enhance the physical layer security in the Rician fading channel wherein the angular direction of the eavesdropper (ED) is aligned with a legitimate user. A two-phase communication system under active attacks and passive eavesdropping is considered in this scenario. The base station avoids direct transmission to the attacked user in the first phase, whereas other users cooperate in forwarding signals to the attacked user in the second phase, with the help of IRS and energy harvesting technology. Under the occurrence of active attacks, an outage-constrained beamforming design problem is investigated under the statistical cascaded channel error model, which is solved by using the Bernstein-type inequality. An average secrecy rate maximization problem for the passive eavesdropping is formulated, which is then addressed by a low-complexity algorithm. The numerical results of this study reveal that the negative effect of the ED’s channel error is larger than that of the legitimate user.


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User cooperation for IRS-aided secure MIMO systems

Show Author's information Gui Zhou1Cunhua Pan2( )Hong Ren2Kezhi Wang3Kok Keong Chai1Kai-Kit Wong4
School of Electronic Engineering and Computer Science, Queen Mary University of London, London, E1 4NS, UK
National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China
Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, NE1 8ST, UK
Department of Electronic and Electrical Engineering, University College London, London, WC1E 6BT, UK

Abstract

An intelligent reflecting surface (IRS) is proposed to enhance the physical layer security in the Rician fading channel wherein the angular direction of the eavesdropper (ED) is aligned with a legitimate user. A two-phase communication system under active attacks and passive eavesdropping is considered in this scenario. The base station avoids direct transmission to the attacked user in the first phase, whereas other users cooperate in forwarding signals to the attacked user in the second phase, with the help of IRS and energy harvesting technology. Under the occurrence of active attacks, an outage-constrained beamforming design problem is investigated under the statistical cascaded channel error model, which is solved by using the Bernstein-type inequality. An average secrecy rate maximization problem for the passive eavesdropping is formulated, which is then addressed by a low-complexity algorithm. The numerical results of this study reveal that the negative effect of the ED’s channel error is larger than that of the legitimate user.

Keywords: energy harvesting, physical layer security, robust design, reconfigurable intelligent surface (RIS), intelligent reflecting surface (IRS)

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Published: 30 March 2022
Issue date: March 2022

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