# When Does Channel-Output Feedback Enlarge the Capacity Region of the Two-User Linear Deterministic Interference Channel?

@inproceedings{Quintero2016WhenDC,
title={When Does Channel-Output Feedback Enlarge the Capacity Region of the Two-User Linear Deterministic Interference Channel?},
author={V{\'i}ctor Quintero and Samir Medina Perlaza and I{\~n}aki Esnaola and Jean-Marie Gorce},
booktitle={CrownCom},
year={2016}
}
• Published in CrownCom 30 May 2016
• Computer Science

### Approximate Capacity Region of the Two-User Gaussian Interference Channel With Noisy Channel-Output Feedback

• Computer Science
IEEE Transactions on Information Theory
• 2018
The achievability region and the converse region are proven to approximate the capacity region of the G-IC-NF to within 4.4 bits.

### When Does Output Feedback Enlarge the Capacity of the Interference Channel?

• Computer Science
IEEE Transactions on Communications
• 2018
In this paper, the benefits of channel-output feedback in the Gaussian interference channel (G-IC) are studied under the effect of additive Gaussian noise. Using a linear deterministic (LD) model,

### On the Efficiency of Nash Equilibria in the Interference Channel with Noisy Feedback

• Computer Science
• 2017
The ensemble of conclusions of this work reveal the relevance of jointly using equilibrium selection methods and channel-output feedback for reducing the effect of anarchical behavior of the network components in the η-NE sum-rate of the interference channel.

## References

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• Computer Science
IEEE Transactions on Information Theory
• 2013
The coding scheme proposed for this network, termed cooperative interference alignment, is based on two key ingredients, namely, interference alignment and interference decoding, and an approximate characterization is provided for the symmetric feedback capacity of the network, when the \ssr SNR and\ssr INR are far apart from each other.

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• Computer Science
2015 IEEE Information Theory Workshop - Fall (ITW)
• 2015
In this paper, the capacity region of the two-user linear deterministic (LD) interference channel with noisy output feedback (IC-NOF) is fully characterized. This result allows the identification of

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• Computer Science
ArXiv
• 2016
It is shown that the achievability region and the converse region approximate the capacity region of the G-IC-NOF to within a constant gap in bits.

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• Computer Science
IEEE Transactions on Information Theory
• 2015
In this paper, the η-Nash equilibrium (η-NE) region of the two-user Gaussian interference channel (IC) with perfect output feedback is approximated to within 1 bit/s/Hz and η arbitrarily close to 1

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• Computer Science
2016 IEEE Information Theory Workshop (ITW)
• 2016
It is shown that the achievability region and the converse region approximate the capacity region of the G-IC-NOF to within a constant gap in bits per channel use.

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• Computer Science
IEEE Transactions on Information Theory
• 2011
The result makes use of a linear deterministic model to provide insights into the Gaussian channel and establishes the exact feedback capacity region of this general class of deterministic ICs.

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• Computer Science
IEEE Transactions on Information Theory
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The results highlight that the symmetric feedback capacities for both linear and Gaussian channel models are in general functions of K, the number of users, and the capacity gain obtained due to feedback decreases as K increases.

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• Computer Science
IEEE Transactions on Information Theory
• 2015
This paper considers the two-user linear deterministic interference channel with noisy feedback, as a stepping stone to characterize the approximate capacity region for the symmetric Gaussian interference channel without feedback, and develops a novel converse outer bounding technique.

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• Computer Science
IEEE Transactions on Information Theory
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This work shows that the existing outer bounds can in fact be arbitrarily loose in some parameter ranges, and by deriving new outer bounds, it is shown that a very simple and explicit Han-Kobayashi type scheme can achieve to within a single bit per second per hertz of the capacity for all values of the channel parameters.

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• Computer Science
IEEE Transactions on Information Theory
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An exact characterization of the capacity of a network with nodes connected by deterministic channels is obtained, a natural generalization of the celebrated max-flow min-cut theorem for wired networks.