Computer Science – Information Theory
Scientific paper
2008-02-24
Computer Science
Information Theory
Submitted to IEEE Transactions on Information Theory, February 2008. Revised Nov 2008
Scientific paper
Establishing the capacity region of a Gaussian interference network is an open problem in information theory. Recent progress on this problem has led to the characterization of the capacity region of a general two user Gaussian interference channel within one bit. In this paper, we develop new, improved outer bounds on the capacity region. Using these bounds, we show that treating interference as noise achieves the sum capacity of the two user Gaussian interference channel in a low interference regime, where the interference parameters are below certain thresholds. We then generalize our techniques and results to Gaussian interference networks with more than two users. In particular, we demonstrate that the total interference threshold, below which treating interference as noise achieves the sum capacity, increases with the number of users.
Annapureddy Sreekanth V.
Veeravalli Venugopal V.
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