Multi-Carrier DCSK Scheme with Matrix Index Technique: A New Transmission Scheme for Physical Layer Security
Duan, Chao Tao, Yiwei Fang, Yi Han, Guojun Guizani, Mohsen
Duan, Chao
Tao, Yiwei
Fang, Yi
Han, Guojun
Guizani, Mohsen
Supervisor
Department
Machine Learning
Embargo End Date
Type
Journal article
Date
License
Language
English
Collections
Research Projects
Organizational Units
Journal Issue
Abstract
Chaotic waveforms, characterized by their noise-like properties and potential security advantages, have emerged as a promising solution for physical layer security (PLS) in wireless communication schemes. However, conventional differential chaos shift keying (DCSK) schemes suffer from limitations such as low data rate, energy inefficiency, and vulnerability to frequency-selective fading (FSF) channels. To address these challenges, this paper proposes a new matrix index technique for multi-carrier DCSK scheme, referred to as MIT-MC-DCSK scheme, tailored for robust and secure transmission over FSF channels. The proposed MIT-MC-DCSK scheme enables time-frequency diversity to mitigate the negative effect of fading while enhancing bit error rate (BER) performance. Theoretical BER expressions of the proposed scheme are rigorously derived over FSF channels, which are validated by extensive Monte Carlo simulations. Experimental results demonstrate that the proposed MIT-MC-DCSK scheme achieves superior BER performance and higher transmission efficiency than the state-of-the-art benchmark schemes. Furthermore, the proposed MIT-MC-DCSK scheme significantly reduces information leakage and improves secrecy capacity by leveraging matrix reconstruction technique, making it resilient against eavesdropping. Thanks to these advancements, the MIT-MC-DCSK scheme appears to be a robust candidate for secure and reliable communication in FSF scenarios.
Citation
C. Duan, Y. Tao, Y. Fang, G. Han, M. Guizani, "Multi-Carrier DCSK Scheme with Matrix Index Technique: A New Transmission Scheme for Physical Layer Security," IEEE Journal on Selected Areas in Communications, vol. PP, no. 99, pp. 1-1, 2026, https://doi.org/10.1109/jsac.2026.3669883.
Source
IEEE Journal on Selected Areas in Communications
Conference
Keywords
40 Engineering, 4006 Communications Engineering, 46 Information and Computing Sciences, 4613 Theory Of Computation, 7 Affordable and Clean Energy
Subjects
Source
Publisher
IEEE