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Symmetric Gaussian interference channel with state information

Authors: Lili Zhang 0001; Tie Liu 0002; Shuguang Cui;

Symmetric Gaussian interference channel with state information

Abstract

In this paper, we study the state-dependent symmetric Gaussian interference channel, where the additive Gaussian state is non-causally known at both transmitters but unknown to either of the receivers. We apply the coding scheme in [5] with different dirty paper coding parameters. We study both strong and weak interference scenarios and characterize the theoretical gap between the achievable symmetric rate and the upper bound, which is shown to be less than 1/4 bit for the strong interference case and less than 3/4 bit for the weak interference case. Finally, we provide numerical evaluations of the achievable rates against the upper bound, which validates the theoretical analysis for both cases.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Average
Top 10%
Average
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