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Secure multiantenna transmission with an unknown eavesdropper: power allocation and secrecy outage analysis

Secure multiantenna transmission with an unknown eavesdropper: power allocation and secrecy outage analysis
Secure multiantenna transmission with an unknown eavesdropper: power allocation and secrecy outage analysis
This paper investigates the power allocation problem for secure multiple-input single-output transmission with the injection of artificial noise (AN), in the presence of an unknown eavesdropper (Eve). Two power allocation schemes, the optimal adaptive power allocation (OAPA) and suboptimal fixed power allocation (SFPA) schemes, are proposed to enhance the physical layer security of the considered system. Since the noise power at Eve is unknown, both power allocation schemes are designed for the worst-case scenario in which the noise power at Eve is assumed to be zero, aiming to minimize the secrecy outage probability (SOP). To characterize the performance of the proposed power allocation schemes, approximate closed-form expressions for average SOP under a preset noise power level are derived by applying Gauss-Chebyshev quadrature. We also address the worst-case secrecy outage performance for the proposed OAPA and SFPA schemes. Our analytical and numerical results show that, compared with the exhaustive search method that requires Eve's prior information, the proposed OAPA scheme exhibits comparable secrecy outage performance without Eve's prior information. Additionally, the SFPA scheme, also without Eve's prior information, is capable of achieving almost the same worst-case SOP as the OAPA scheme, with a much lower implementation complexity.
1556-6013
2906-2919
Jia, Shaobo
0691003b-e264-4627-aa34-cc27da6844d0
Zhang, Jiankang
c6c025b3-6576-4f9d-be95-57908e61fa88
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Hao, Wanming
8ce068aa-1812-4964-81aa-7306e1b7d291
Xu, Wei
cef87ede-4edd-4bde-a9f8-a4c63e18c418
Jia, Shaobo
0691003b-e264-4627-aa34-cc27da6844d0
Zhang, Jiankang
c6c025b3-6576-4f9d-be95-57908e61fa88
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Hao, Wanming
8ce068aa-1812-4964-81aa-7306e1b7d291
Xu, Wei
cef87ede-4edd-4bde-a9f8-a4c63e18c418

Jia, Shaobo, Zhang, Jiankang, Chen, Sheng, Hao, Wanming and Xu, Wei (2022) Secure multiantenna transmission with an unknown eavesdropper: power allocation and secrecy outage analysis. IEEE Transactions on Information Forensics and Security, 17, 2906-2919.

Record type: Article

Abstract

This paper investigates the power allocation problem for secure multiple-input single-output transmission with the injection of artificial noise (AN), in the presence of an unknown eavesdropper (Eve). Two power allocation schemes, the optimal adaptive power allocation (OAPA) and suboptimal fixed power allocation (SFPA) schemes, are proposed to enhance the physical layer security of the considered system. Since the noise power at Eve is unknown, both power allocation schemes are designed for the worst-case scenario in which the noise power at Eve is assumed to be zero, aiming to minimize the secrecy outage probability (SOP). To characterize the performance of the proposed power allocation schemes, approximate closed-form expressions for average SOP under a preset noise power level are derived by applying Gauss-Chebyshev quadrature. We also address the worst-case secrecy outage performance for the proposed OAPA and SFPA schemes. Our analytical and numerical results show that, compared with the exhaustive search method that requires Eve's prior information, the proposed OAPA scheme exhibits comparable secrecy outage performance without Eve's prior information. Additionally, the SFPA scheme, also without Eve's prior information, is capable of achieving almost the same worst-case SOP as the OAPA scheme, with a much lower implementation complexity.

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Accepted/In Press date: 30 July 2022
Published date: 17 August 2022

Identifiers

Local EPrints ID: 468945
URI: http://eprints.soton.ac.uk/id/eprint/468945
ISSN: 1556-6013
PURE UUID: 3a56f190-cca2-4daa-b428-b361b96551e9

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Date deposited: 01 Sep 2022 17:05
Last modified: 17 Mar 2024 07:26

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Contributors

Author: Shaobo Jia
Author: Jiankang Zhang
Author: Sheng Chen
Author: Wanming Hao
Author: Wei Xu

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