Computer Science – Information Theory
Scientific paper
2010-04-14
Proceedings of the 2010 IEEE International Sysmposium on Information Theory (ISIT 2010), Austin, USA, pp. 664-668, June 13-18,
Computer Science
Information Theory
accepted and to be presented at ISIT 2010
Scientific paper
10.1109/ISIT.2010.5513576
The L-user additive white Gaussian noise multi-way relay channel is considered, where multiple users exchange information through a single relay at a common rate. Existing coding strategies, i.e., complete-decode-forward and compress-forward are shown to be bounded away from the cut-set upper bound at high signal-to-noise ratios (SNR). It is known that the gap between the compress-forward rate and the capacity upper bound is a constant at high SNR, and that between the complete-decode-forward rate and the upper bound increases with SNR at high SNR. In this paper, a functional-decode-forward coding strategy is proposed. It is shown that for L >= 3, complete-decode-forward achieves the capacity when SNR <= 0 dB, and functional-decode-forward achieves the capacity when SNR >= 0 dB. For L=$, functional-decode-forward achieves the capacity asymptotically as SNR increases.
Johnson Sarah J.
Kellett Christopher M.
Ong Lawrence
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