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

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

doi:10.1109/vtc2022-spring54318.2022.9860850

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 proceeding › Conference contribution

2 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 language	English (US)
Title of host publication	2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)
Publisher	IEEE
DOIs	https://doi.org/10.1109/vtc2022-spring54318.2022.9860850
State	Published - 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.

Access to Document

10.1109/vtc2022-spring54318.2022.9860850

https://repository.kaust.edu.sa/bitstream/10754/680549/1/Enhancing%20Physical%20Layer%20Security%20in%20Large%20Intelligent%20Surface-aided%20Cooperative%20Networks.pdf

Cite this

@inproceedings{9992e9c0f38640e3b4c59df4410b1550,

title = "Enhancing Physical Layer Security in Large Intelligent Surface-aided Cooperative Networks",

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{\textquoteright}s phase-shift optimization process is effectively utilized to enhance the system{\textquoteright}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.",

author = "Madi Makin and Sultangali Arzykulov and Abdulkadir Celik and Ahmed Eltawil and Galymzhan Nauryzbayev",

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.",

year = "2022",

month = aug,

day = "25",

doi = "10.1109/vtc2022-spring54318.2022.9860850",

language = "English (US)",

booktitle = "2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)",

publisher = "IEEE",

}

TY - GEN

T1 - Enhancing Physical Layer Security in Large Intelligent Surface-aided Cooperative Networks

AU - Makin, Madi

AU - Arzykulov, Sultangali

AU - Celik, Abdulkadir

AU - Eltawil, Ahmed

AU - Nauryzbayev, Galymzhan

N1 - 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.

PY - 2022/8/25

Y1 - 2022/8/25

N2 - 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.

AB - 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.

UR - http://hdl.handle.net/10754/680549

UR - https://ieeexplore.ieee.org/document/9860850/

U2 - 10.1109/vtc2022-spring54318.2022.9860850

DO - 10.1109/vtc2022-spring54318.2022.9860850

M3 - Conference contribution

BT - 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)

PB - IEEE

ER -

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

Abstract

Bibliographical note

Access to Document

Other files and links

Fingerprint

Cite this