Secret Channel Training to Enhance Physical Layer Security With a Full-Duplex Receiver
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Yan, Shihao
Yang, Nan
Abhayapala, Thushara
Swindlehurst, A. Lee
Zhou, Xiangyun
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Institute of Electrical and Electronics Engineers (IEEE)
Abstract
This work proposes a new channel training (CT)
scheme for a full-duplex receiver to enhance physical layer
security. Equipped with NB full-duplex antennas, the receiver
simultaneously receives the information signal and transmits
artificial noise (AN). In order to reduce the non-cancellable
self-interference due to the transmitted AN, the receiver has
to estimate the self-interference channel prior to the data
communication phase. In the proposed CT scheme, the receiver
transmits a limited number of pilot symbols which are known
only to itself. Such a secret CT scheme prevents an eavesdropper
from estimating the jamming channel from the receiver to
the eavesdropper, hence effectively degrading the eavesdropping
capability. We analytically examine the connection probability
(i.e., the probability of the data being successfully decoded by the
receiver) of the legitimate channel and the secrecy outage probability
due to eavesdropping for the proposed secret CT scheme.
Based on our analysis, the optimal power allocation between CT
and data/AN transmission at the legitimate transmitter/receiver
is determined. Our examination shows that the newly proposed
secret CT scheme significantly outperforms the non-secret CT
scheme that uses publicly known pilots when the number of
antennas at the eavesdropper is larger than one.
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IEEE Transactions on Information Forensics and Security
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