Poisson Noise Channel with Dark Current: Numerical Computation of the Optimal Input Distribution
Document Type
Conference Proceeding
Publication Date
1-1-2022
Abstract
This paper considers a discrete time-Poisson noise channel which is used to model pulse-amplitude modulated optical communication with a direct-detection receiver. The goal of this paper is to obtain insights into the capacity and the structure of the capacity-achieving distribution for the channel under the amplitude constraint A and in the presence of dark current λ. Using recent theoretical progress on the structure of the capacity-achieving distribution, this paper develops a numerical algorithm, based on the gradient ascent and Blahut-Arimoto algorithms, for computing the capacity and the capacity-achieving distribution. The algorithm is used to perform extensive numerical simulations for various regimes of A and λ.
Identifier
85137259525 (Scopus)
ISBN
[9781538683477]
Publication Title
IEEE International Conference on Communications
External Full Text Location
https://doi.org/10.1109/ICC45855.2022.9838555
ISSN
15503607
First Page
4812
Last Page
4817
Volume
2022-May
Recommended Citation
Barletta, Luca and Dytso, Alex, "Poisson Noise Channel with Dark Current: Numerical Computation of the Optimal Input Distribution" (2022). Faculty Publications. 3214.
https://digitalcommons.njit.edu/fac_pubs/3214
