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  4. On Entropy-Constrained Gaussian Channel Capacity via the Moment Problem
 
conference paper

On Entropy-Constrained Gaussian Channel Capacity via the Moment Problem

Girish, Adway  
•
Telatar, Emre  
•
Shitz, Shlomo Shamai
June 22, 2025
2025 IEEE International Symposium on Information Theory (ISIT)
2025 IEEE International Symposium on Information Theory

We study the capacity of the power-constrained additive Gaussian channel with an entropy constraint at the input. In particular, we characterize this capacity in the low signal-to-noise ratio regime at small entropy. This follows as a corollary of the following general result on a moment matching problem: We show that for any continuous random variable with finite moments, the largest number of initial moments that can be matched by a discrete random variable of sufficiently small but positive entropy is three.

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Type
conference paper
DOI
10.1109/isit63088.2025.11195447
Author(s)
Girish, Adway  

École Polytechnique Fédérale de Lausanne

Telatar, Emre  

École Polytechnique Fédérale de Lausanne

Shitz, Shlomo Shamai
Date Issued

2025-06-22

Publisher

IEEE

Published in
2025 IEEE International Symposium on Information Theory (ISIT)
ISBN of the book

979-8-3315-4399-0

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LTHI  
Event nameEvent acronymEvent placeEvent date
2025 IEEE International Symposium on Information Theory

ISIT 2025

Ann Arbor, MI, USA

2025-06-22 - 2025-06-27

FunderFunding(s)Grant NumberGrant URL

German Research Foundation

1937/1-1

RelationRelated workURL/DOI

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On entropy-constrained Gaussian channel capacity via the moment problem

https://infoscience.epfl.ch/handle/20.500.14299/248552
Available on Infoscience
October 22, 2025
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/255177
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