NDLI: The gaussian two-way relay channel with wiretapper

Content Provider	IEEE Xplore Digital Library
Author	Sungsoo Kim Won-Yong Shin Ishibashi, K.
Copyright Year	2011
Description	Author affiliation: Department of Electrical and Computer Engineering, The University of Texas at Austin, 78712 USA (Sungsoo Kim) \|\| Department of Electrical and Electronic Engineering, Shizuoka University, 432-8561, Japan (Ishibashi, K.) \|\| School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138 USA (Won-Yong Shin)
Abstract	Secrecy capacity is analyzed in a Gaussian two-way relay wiretap channel (TRWC), where two legitimate source nodes wish to exchange their messages through a relay in the presence of an eavesdropper. We assume that all intended nodes operate in full-duplex mode and there is no direct path between two sources. In the Gaussian TRWC, we propose an achievable coding scheme composed of superposed lattice codes with both structured and random codebooks. A jamming strategy is further introduced at the two sources as well as at the relay to maximize the achievable secrecy rate regions, where each node allocates part of its power to jam the eavesdropper. Our result indicates that positive achievable secrecy rates are maintained even for the reversely degraded scenario. In addition, assuming two sources with equal power constraint, it is shown that the scheme asymptotically achieves within 1/2 bit from the cut-set bound based on the channel with no secrecy constraints, as the downlink phase is in the high signal-to-noise ratio regime.
Starting Page	1987
Ending Page	1991
File Size	213233
Page Count	5
File Format	PDF
ISBN	9781467303217
ISSN	10586393
e-ISBN	9781467303231
DOI	10.1109/ACSSC.2011.6190373
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Relays Encoding Jamming Lattices Upper bound Downlink Vectors
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Networks and Communications

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