Poisson Noise Channel with Dark Current: Numerical Computation of the Optimal Input Distribution

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...

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Bibliographic Details
Published inICC 2022 - IEEE International Conference on Communications pp. 4812 - 4817
Main Authors Barletta, Luca, Dytso, Alex
Format Conference Proceeding
LanguageEnglish
Published IEEE 16.05.2022
Subjects
Dark current
Numerical simulation
Optical fiber communication
Receivers
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Summary: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.
ISSN:1938-1883
DOI:10.1109/ICC45855.2022.9838555