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PHY-Aided Secure Communication via Weighted Fractional Fourier Transform
Joint Authors
Hu, Hang
Da, Xinyu
Ni, Lei
Liang, Yuan
Xu, Ruiyang
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-05-15
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
A weighted fractional Fourier transform (WFRFT) based on channel state information (CSI), aiming to safeguard the physical (PHY) layer security of wireless communication system, is proposed.
With the proposed scheme, WFRFT is first applied to satellite communications such that the transmitted signal is distorted and can only be neutralized by inverse-WFRFT with the same parameter.
Moreover, by exploiting the physical properties of wireless channels, the CSI matrix is transformed as a secret key.
In addition, by adding phase rotation (PR) factors to each branch of the WFRFT system, a new unitary matrix with the encryption properties is constructed, and hence, the satellite communications secrecy is reliably guaranteed due to the variation in signal characteristics.
Finally, the efficacy of the security enhancement is evaluated in terms of the average bit error rate (BER) and the secrecy capacity.
Simulation results show that the proposed encryption method can make the detection and demodulation more difficult for the eavesdropper.
American Psychological Association (APA)
Ni, Lei& Da, Xinyu& Hu, Hang& Liang, Yuan& Xu, Ruiyang. 2018. PHY-Aided Secure Communication via Weighted Fractional Fourier Transform. Wireless Communications and Mobile Computing،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1216267
Modern Language Association (MLA)
Ni, Lei…[et al.]. PHY-Aided Secure Communication via Weighted Fractional Fourier Transform. Wireless Communications and Mobile Computing No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1216267
American Medical Association (AMA)
Ni, Lei& Da, Xinyu& Hu, Hang& Liang, Yuan& Xu, Ruiyang. PHY-Aided Secure Communication via Weighted Fractional Fourier Transform. Wireless Communications and Mobile Computing. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1216267
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1216267