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Open AccessArticle

A Hybrid Cooperative Coding Scheme for the Relay-Eavesdropper Channel

by Peng Xu 1,*, Zhiguo Ding 2 and Xuchu Dai 1
1
Department of Electronic Engineering and Information Science, University of Science and Technology of China, P.O.Box No.4, 230027, Hefei, Anhui, China
2
School of Electrical, Electronic, and Computer Engineering, Newcastle University, Newcastle, NE1 7RU, UK
*
Author to whom correspondence should be addressed.
Entropy 2014, 16(3), 1819-1841; https://doi.org/10.3390/e16031819
Received: 16 December 2013 / Revised: 18 March 2014 / Accepted: 19 March 2014 / Published: 24 March 2014
This paper considers the four-node relay-eavesdropper channel, where a relay node helps the source to send secret messages to the destination in the presence of a passive eavesdropper. For the discrete memoryless case, we propose a hybrid cooperative coding scheme, which is based on the combination of the partial decode-forward scheme, the noise-forward scheme and the random binning scheme. The key feature of the proposed hybrid cooperative scheme is that the relay integrates the explicit cooperation strategy and the implicit cooperation strategy by forwarding source messages and additional interference at the same time. The derived achievable secrecy rate shows that some existing works can be viewed as special cases of the proposed scheme. Then, the achievable secrecy rate is extended to the Gaussian channel based on Gaussian codebooks, and the optimal power policy is also identified in the high power region. Both the analysis and numerical results are provided to demonstrate that the proposed hybrid cooperative coding scheme outperforms the comparable ones, especially in the high power region. View Full-Text
Keywords: information-theoretic secrecy; relay-eavesdropper channel; partial decode-forward; noise-forward information-theoretic secrecy; relay-eavesdropper channel; partial decode-forward; noise-forward
MDPI and ACS Style

Xu, P.; Ding, Z.; Dai, X. A Hybrid Cooperative Coding Scheme for the Relay-Eavesdropper Channel. Entropy 2014, 16, 1819-1841.

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