Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/243243
Type: Artigo de evento
Title: From Almost Gaussian To Gaussian
Author: Costa
Max H. M.; Rioul
Olivier
Abstract: We consider lower and upper bounds on the difference of differential entropies of a Gaussian random vector and an approximately Gaussian random vector after they are "smoothed" by an arbitrarily distributed random vector of finite power. These bounds are important to establish the optimality of the corner points in the capacity region of Gaussian interference channels. A problematic issue in a previous attempt to establish these bounds was detected in 2004 and the mentioned corner points have since been dubbed "the missing corner points". The importance of the given bounds comes from the fact that they induce Fano-type inequalities for the Gaussian interference channel. Usual Fano inequalities are based on a communication requirement. In this case, the new inequalities are derived from a non-disturbance constraint. The upper bound on the difference of differential entropies is established by the data processing inequality (DPI). For the lower bound, we do not have a complete proof, but we present an argument based on continuity and the DPI.
Subject: Interference Channel
Capacity
Country: MELVILLE
Editor: AMER INST PHYSICS
Citation: From Almost Gaussian To Gaussian. Amer Inst Physics, v. 1641, p. 67-73 2015.
Rights: embargo
Identifier DOI: 10.1063/1.4905964
Address: https://www.google.com.br/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&uact=8&ved=0ahUKEwjBmfWq0cPMAhWME5AKHaPTA2QQFgggMAA&url=http%3A%2F%2Fperso.telecom-paristech.fr%2F~rioul%2Fpublis%2F201409costarioul.pdf&usg=AFQjCNF26pvcxbrYpegvwXQLLqFojL2OQA
Date Issue: 2015
Appears in Collections:Unicamp - Artigos e Outros Documentos

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