Title :
On the separability of parallel Gaussian interference channels
Author :
Choi, Sang Won ; Chung, Sae-Young
Author_Institution :
Sch. of EECS, KAIST, Daejeon, South Korea
fDate :
June 28 2009-July 3 2009
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.
Keywords :
Gaussian channels; Gaussian noise; interference (signal); matrix algebra; signal processing; wireless channels; diagonal covariance matrix; mixed TPGIC; parallel Gaussian interference channel separability; sum rate optimal TPGIC; two sided PGICs; Additive white noise; Covariance matrix; Decoding; Gaussian noise; Integrated circuit noise; Interference channels; Sufficient conditions; Transmitters; Upper bound; Wireless communication;
Conference_Titel :
Information Theory, 2009. ISIT 2009. IEEE International Symposium on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-4312-3
Electronic_ISBN :
978-1-4244-4313-0
DOI :
10.1109/ISIT.2009.5205979
