Amplitude-Constrained Gaussian Wiretap Channel: Computation of the Optimal Input Distribution
Document Type
Conference Proceeding
Publication Date
1-1-2022
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 secrecycapacity and the secrecy-capacity-achieving input and output distributions.
Identifier
85142249911 (Scopus)
ISBN
[9781665498258]
Publication Title
2022 IEEE International Mediterranean Conference on Communications and Networking Meditcom 2022
External Full Text Location
https://doi.org/10.1109/MeditCom55741.2022.9928682
First Page
106
Last Page
111
Recommended Citation
Barletta, Luca and Dytso, Alex, "Amplitude-Constrained Gaussian Wiretap Channel: Computation of the Optimal Input Distribution" (2022). Faculty Publications. 3267.
https://digitalcommons.njit.edu/fac_pubs/3267
