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Artificial Noise Assisted Interference Alignment for Physical Layer Security Enhancement | IEEE Conference Publication | IEEE Xplore

Artificial Noise Assisted Interference Alignment for Physical Layer Security Enhancement


Abstract:

Secure transfer of wireless information is becoming a critical issue in multi-user interference networks. In this paper, we consider secure transmission from a source (Al...Show More

Abstract:

Secure transfer of wireless information is becoming a critical issue in multi-user interference networks. In this paper, we consider secure transmission from a source (Alice) to a legitimate destination (Bob), coexisting with a passive eaves-dropper (Eve) and K transceiver pairs. By assuming that only statistical channel state information (CSI) of Eve and local CSIs of legitimate users are known, a secrecy beamforming scheme with artificial noise (AN) is designed for secure transmission, and a modified interference alignment (IA) scheme is proposed for secrecy enhancement. Unlike the conventional AN-aided IA approaches which may lead to private signal cancellation, we propose a novel design modification with security protection. Moreover, a definite connection between improperness and in-feasibility of IA is established, to provide guiding insights on IA requirements. Based on a strict mathematical analysis, we further characterize the impact of transmit power on transceiver design and secrecy performance. Numerical results confirm that our design enables high transmission security with performance guarantee, and thus is suitable and stable for physical layer security (PLS) in multi-user interference networks.
Date of Conference: 04-08 December 2022
Date Added to IEEE Xplore: 11 January 2023
ISBN Information:

ISSN Information:

Conference Location: Rio de Janeiro, Brazil

References

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