On the Separability of Parallel Gaussian Interference Channels

Details On the Separability of Parallel Gaussian Interference Channels On the Separability of Parallel Gaussian Interference Channels

2009-05-11

arxiv.org/abs/0905.1537v1

Computer Science

Information Theory

5 pages, 1 figure, to appear in proc. IEEE ISIT, June 2009

Scientific paper

The separability in parallel Gaussian interference channels (PGICs) is studied in this paper. We generalize the separability results in one-sided PGICs (OPGICs) by Sung \emph{et al.} to two-sided PGICs (TPGICs). Specifically, for strong and mixed TPGICs, we show necessary and sufficient conditions for the separability. For this, we show diagonal covariance matrices are sum-rate optimal for strong and mixed TPGICs.

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