Optimality of Gaussian in Enlarging HK Rate Region, and its Overlap with the Capacity Region of 2-users GIC
Amir K. Khandani

TL;DR
This paper demonstrates that Gaussian distributions are optimal for enlarging the Han-Kobayashi rate region in interference channels, and these regions overlap with the capacity region of the 2-user Gaussian interference channel, establishing Gaussian codes as optimal.
Contribution
It proves Gaussian inputs are optimal for enlarging the HK rate region and shows this region coincides with the capacity region of the 2-user GIC, unifying achievable and capacity regions.
Findings
Gaussian distribution maximizes the HK rate region.
HK rate region coincides with the 2-user GIC capacity region.
Gaussian code-books achieve the capacity of the 2-user GIC.
Abstract
This article shows that the set of HK constraints correspond to projecting the intersection of two multiple access channels on its sup-spaces. A key property of HK constraints is that the private message of user 1 (or of user 2) is the last layer in superposition coding for the MAC formed at receiver 2 (or at receiver 1) and will be treated as noise in the decoding operations at receiver 2 (or at receiver 1). This property is used in this article to show that, in a HK rate region based on an additive Gaussian noise model, Gaussian distribution is optimum for enlarging the region. It is known that the HK rate region is achievable in an interference channel. On the other hand, reference [Khandani-arXiv:2011.12981] presents a method for code-book construction in a 2-users weak GIC, using Gaussian inputs, based on covering the boundary of the capacity region in infinitesimal steps. The…
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Taxonomy
TopicsWireless Communication Security Techniques · Error Correcting Code Techniques · Cooperative Communication and Network Coding
