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