Approximate Capacity of the Gaussian Interference Channel with Noisy Channel-Output Feedback
Victor Quintero, Samir M. Perlaza, I\~naki Esnaola, Jean-Marie Gorce

TL;DR
This paper characterizes the approximate capacity region of the two-user Gaussian interference channel with noisy feedback, using novel bounds and coding techniques to achieve a constant-gap approximation.
Contribution
It introduces new outer bounds and combines established coding strategies to approximate the capacity of the G-IC-NOF within a constant gap.
Findings
Achievability and converse regions are within a constant gap of the true capacity.
New genie-aided outer bounds improve the understanding of the channel capacity.
The approach provides a near-complete characterization of the G-IC-NOF capacity.
Abstract
In this paper, an achievability region and a converse region for the two-user Gaussian interference channel with noisy channel-output feedback (G-IC-NOF) are presented. The achievability region is obtained using a random coding argument and three well-known techniques: rate splitting, superposition coding and backward decoding. The converse region is obtained using some of the existing perfect-output feedback outer-bounds as well as a set of new outer-bounds that are obtained by using genie-aided models of the original G-IC-NOF. Finally, 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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