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Aerial RIS-aided physical layer security: optimal deployment and partitioning

Aerial RIS-aided physical layer security: optimal deployment and partitioning
Aerial RIS-aided physical layer security: optimal deployment and partitioning

We propose a novel approach for enhancing physical layer security (PLS) in wireless networks by utilizing a combination of reconfigurable intelligent surfaces (RIS) and artificial noise (AN). The proposed aerial RIS (A-RIS) concept utilizes a RIS-attached unmanned aerial vehicle (UAV) that hovers over the network area to improve the signal quality for legitimate users and jam that of illegitimate ones. We propose a method of virtually partitioning the RIS, such that the partition phase shifts are configured to improve the intended signal at a legitimate user while simultaneously increasing the impact of AN on illegitimate users. Closed-form (CF) expressions for legitimate and illegitimate users' ergodic secrecy capacity (ESC) are derived and validated. Then, optimization problems are formulated to maximize network ESC by optimizing the 3D deployment of the A-RIS and RIS portions for users subject to predefined quality-of-service constraints. Simulation results validate CF solutions and demonstrate that the proposed joint A-RIS deployment and partitioning framework can significantly improve network security compared to benchmarks where RIS and AN are separately used without deployment optimization. Additionally, the proposed deployment approaches converge in less than a second using CF optimal RIS portions, making it suitable for dynamic A-RIS deployment.

Artificial noise (AN), ergodic secrecy capacity (ESC), optimization, partitioning, physical layer security (PLS), power control, reconfigurable intelligent surface (RIS), unmanned aerial vehicle (UAV)
2332-7731
1867-1882
Arzykulov, Sultangali
25fb1b83-665d-4fe7-9e56-81cacc2f8e7a
Celik, Abdulkadir
f8e72266-763c-4849-b38e-2ea2f50a69d0
Nauryzbayev, Galymzhan
3fbbb5ed-dc25-4c5a-943c-7fd329867c75
Eltawil, Ahmed M.
5eb9e965-5ec8-4da1-baee-c3cab0fb2a72
Arzykulov, Sultangali
25fb1b83-665d-4fe7-9e56-81cacc2f8e7a
Celik, Abdulkadir
f8e72266-763c-4849-b38e-2ea2f50a69d0
Nauryzbayev, Galymzhan
3fbbb5ed-dc25-4c5a-943c-7fd329867c75
Eltawil, Ahmed M.
5eb9e965-5ec8-4da1-baee-c3cab0fb2a72

Arzykulov, Sultangali, Celik, Abdulkadir, Nauryzbayev, Galymzhan and Eltawil, Ahmed M. (2024) Aerial RIS-aided physical layer security: optimal deployment and partitioning. IEEE Transactions on Cognitive Communications and Networking, 10 (5), 1867-1882. (doi:10.1109/TCCN.2024.3392798).

Record type: Article

Abstract

We propose a novel approach for enhancing physical layer security (PLS) in wireless networks by utilizing a combination of reconfigurable intelligent surfaces (RIS) and artificial noise (AN). The proposed aerial RIS (A-RIS) concept utilizes a RIS-attached unmanned aerial vehicle (UAV) that hovers over the network area to improve the signal quality for legitimate users and jam that of illegitimate ones. We propose a method of virtually partitioning the RIS, such that the partition phase shifts are configured to improve the intended signal at a legitimate user while simultaneously increasing the impact of AN on illegitimate users. Closed-form (CF) expressions for legitimate and illegitimate users' ergodic secrecy capacity (ESC) are derived and validated. Then, optimization problems are formulated to maximize network ESC by optimizing the 3D deployment of the A-RIS and RIS portions for users subject to predefined quality-of-service constraints. Simulation results validate CF solutions and demonstrate that the proposed joint A-RIS deployment and partitioning framework can significantly improve network security compared to benchmarks where RIS and AN are separately used without deployment optimization. Additionally, the proposed deployment approaches converge in less than a second using CF optimal RIS portions, making it suitable for dynamic A-RIS deployment.

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More information

Accepted/In Press date: 11 April 2024
e-pub ahead of print date: 23 April 2024
Published date: October 2024
Keywords: Artificial noise (AN), ergodic secrecy capacity (ESC), optimization, partitioning, physical layer security (PLS), power control, reconfigurable intelligent surface (RIS), unmanned aerial vehicle (UAV)

Identifiers

Local EPrints ID: 505803
URI: http://eprints.soton.ac.uk/id/eprint/505803
ISSN: 2332-7731
PURE UUID: 49401004-812c-4792-abd0-b9f193789812
ORCID for Abdulkadir Celik: ORCID iD orcid.org/0000-0001-9007-9979

Catalogue record

Date deposited: 20 Oct 2025 16:35
Last modified: 21 Oct 2025 02:15

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Contributors

Author: Sultangali Arzykulov
Author: Abdulkadir Celik ORCID iD
Author: Galymzhan Nauryzbayev
Author: Ahmed M. Eltawil

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