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Scalar Gaussian Wiretap Channel with Peak Amplitude Constraint: Numerical Computation of the Optimal Input Distribution

Authors :
Barletta, Luca
Dytso, Alex
Publication Year :
2021

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.<br />Comment: Submitted to IEEE ICC 2022. arXiv admin note: substantial text overlap with arXiv:2111.11371

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2111.11442
Document Type :
Working Paper