Scalar Gaussian Wiretap Channel with Peak Amplitude Constraint: Numerical Computation of the Optimal Input Distribution
Information Theory
2021-11-24 v1 math.IT
Abstract
This paper studies a scalar Gaussian wiretap channel where instead of an average input power constraint, we consider a peak amplitude constraint on the input. The goal is to obtain insights into the secrecy-capacity and the structure of the secrecy-capacity-achieving distribution. Capitalizing on the recent theoretical progress on the structure of the secrecy-capacity-achieving distribution, this paper develops a numerical procedure, based on the gradient ascent algorithm and a version of the Blahut-Arimoto algorithm, for computing the secrecy-capacity and the secrecy-capacity-achieving input and output distributions.
Keywords
Cite
@article{arxiv.2111.11442,
title = {Scalar Gaussian Wiretap Channel with Peak Amplitude Constraint: Numerical Computation of the Optimal Input Distribution},
author = {Luca Barletta and Alex Dytso},
journal= {arXiv preprint arXiv:2111.11442},
year = {2021}
}
Comments
Submitted to IEEE ICC 2022. arXiv admin note: substantial text overlap with arXiv:2111.11371