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Gaussian Interference Channel Capacity to Within One Bit

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TLDR
The capacity of the two-user Gaussian interference channel has been open for 30 years and the best known achievable region is due to Han and Kobayashi as mentioned in this paper, but its characterization is very complicated.
Abstract
The capacity of the two-user Gaussian interference channel has been open for 30 years. The understanding on this problem has been limited. The best known achievable region is due to Han and Kobayashi but its characterization is very complicated. It is also not known how tight the existing outer bounds are. In this work, we show that the existing outer bounds can in fact be arbitrarily loose in some parameter ranges, and by deriving new outer bounds, we show that a very simple and explicit Han-Kobayashi type scheme can achieve to within a single bit per second per hertz (bit/s/Hz) of the capacity for all values of the channel parameters. We also show that the scheme is asymptotically optimal at certain high signal-to-noise ratio (SNR) regimes. Using our results, we provide a natural generalization of the point-to-point classical notion of degrees of freedom to interference-limited scenarios.

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Citations
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Interference Alignment and Degrees of Freedom of the $K$ -User Interference Channel

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Multi-Cell MIMO Cooperative Networks: A New Look at Interference

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Compute-and-Forward: Harnessing Interference Through Structured Codes

TL;DR: In this article, the authors proposed a new strategy, compute-and-forward, that exploits interference to obtain significantly higher rates between users in a network by decoding linear functions of transmitted messages according to their observed channel coefficients rather than ignoring the interference as noise.
References
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Journal ArticleDOI

A new achievable rate region for the interference channel

TL;DR: A new achievable rate region for the general interference channel which extends previous results is presented and evaluated and the capacity of a class of Gaussian interference channels is established.
Journal ArticleDOI

Multiaccess fading channels. I. Polymatroid structure, optimal resource allocation and throughput capacities

TL;DR: This work focuses on the multiaccess fading channel with Gaussian noise, and defines two notions of capacity depending on whether the traffic is delay-sensitive or not, and characterize the throughput capacity region which contains the long-term achievable rates through the time-varying channel.
Journal ArticleDOI

The capacity of the Gaussian interference channel under strong interference (Corresp.)

TL;DR: The capacity region of a Gaussian interference channel with two separate messages is obtained for the case of moderately strong interference and it is shown that the region coincides with the one where both messages are required in both receiving terminals.
Journal ArticleDOI

A case where interference does not reduce capacity (Corresp.)

TL;DR: In this paper, it was shown that under certain conditions, two strongly interfering communication links with additive white Gaussian noise can achieve rates as high as would be achievable without this interference.
Journal ArticleDOI

The worst additive noise under a covariance constraint

TL;DR: The problem becomes one of extremizing the mutual information over all noise processes with covariances satisfying the correlation constraints R/sub 0/,..., R/ sub p/ for high signal powers, the worst additive noise is Gauss-Markov of order p as expected.
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