Enhancing Physical Layer Security in Large Intelligent Surface-aided Cooperative Networks

Madi Makin, Sultangali Arzykulov, Abdulkadir Celik, Ahmed Eltawil, Galymzhan Nauryzbayev

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Intelligent surfaces have recently been presented as a revolutionary technique and recognized as one of the candidates for beyond fifth-generation wireless networks. This paper investigates the physical layer security of a large intelligent surface (LIS) aided wireless system over Nakagami-m channels. We propose a phase-based adaptive modulation scheme, where LIS’s phase-shift optimization process is effectively utilized to enhance the system’s security. Moreover, the effect of the Nakagami-m fading parameter (m), correlation parameter (ρ), and a number of passive LIS elements (M) on the system performance are examined. The significant improvement in confidentiality is shown while evaluating the bit error rate performance of the proposed scheme.
Original languageEnglish (US)
Title of host publication2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)
PublisherIEEE
DOIs
StatePublished - Aug 25 2022

Bibliographical note

KAUST Repository Item: Exported on 2022-09-14
Acknowledgements: This work was supported by the Nazarbayev University (NU) Social Policy grant, the NU FDCRP Grant no. 240919FD3935, and the NU CRP Grant no. 11022021CRP1513.

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