Title :
The Gaussian interference channel at low SNR
Author :
Rao, Chaitanya ; Hassibi, Babak
Author_Institution :
Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
fDate :
27 June-2 July 2004
Abstract :
For the two-user Gaussian interference channel we show that, up to second order in the signal-to-noise ratio (SNR), the mutual information between each transmitter and intended receiver depends only on the covariance matrices of the input distributions. Our analysis suggests that in the low SNR regime there is an interference threshold above which it is better for the users to alternate signal transmission than to transmit simultaneously.
Keywords :
Gaussian channels; covariance matrices; interference (signal); SNR; covariance matrices; interference threshold; low SNR; mutual information; signal transmission; signal-to-noise ratio; two-user Gaussian interference channel; Covariance matrix; Distributed computing; Equations; Gaussian noise; Interference channels; Mutual information; Random variables; Signal analysis; Signal to noise ratio; Transmitters;
Conference_Titel :
Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on
Print_ISBN :
0-7803-8280-3
DOI :
10.1109/ISIT.2004.1365453
