On Entropy-Constrained Gaussian Channel Capacity via the Moment Problem
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.
École Polytechnique Fédérale de Lausanne
École Polytechnique Fédérale de Lausanne
2025-06-22
979-8-3315-4399-0
REVIEWED
EPFL
| Event name | Event acronym | Event place | Event date |
ISIT 2025 | Ann Arbor, MI, USA | 2025-06-22 - 2025-06-27 | |
| Relation | Related work | URL/DOI |
IsNewVersionOf | On entropy-constrained Gaussian channel capacity via the moment problem | |