Channel training design in full-duplex wiretap channels to enhance physical layer security
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Yan, Shihao
Zhou, Xiangyun
Yang, Nan
Abhayapala, Thushara
Swindlehurst, Arnold Lee
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Institute of Electrical and Electronics Engineers (IEEE Inc)
Abstract
In this work, we propose a new channel training (CT) scheme to enhance physical layer security in a full-duplex wiretap channel, where the multi-antenna and full-duplex receiver simultaneously receives the information signal and transmits artificial noise (AN). In order to suppress the self-interference caused by AN, the receiver has to estimate the self-interference channel prior to the data communication phase. In the proposed CT scheme, the receiver transmits limited pilot symbols which are known only to itself, which prevents the eavesdropper from estimating the jamming channel from the receiver to the eavesdropper, hence effectively degrades the eavesdropping capability. Compared with the traditional CT scheme that uses publicly known pilots, the newly proposed secret CT scheme offers significantly better performance when the number of antennas at the eavesdropper is larger than one, e.g., Ne > 1. The optimal power allocation between CT and data/AN transmission at the legitimate transmitter/receiver is determined for the proposed secret CT scheme.
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IEEE ICC 2017 Communication and Information Systems Security Symposium
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Open Access
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