On the separability of parallel Gaussian interference channels

Authors:
Sang Won Choi;Sae-Young Chung
Affiliations:
School of EECS, KAIST, Daejeon, Korea;School of EECS, KAIST, Daejeon, Korea
Venue:
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 4
Year:
2009

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Abstract

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 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.