Optimal input signal distribution and capacity for nondispersive nonlinear optical fiber channel at large signal to noise ratio

I. S. Terekhov*, A. V. Reznichenko, S. K. Turitsyn

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference publication

Abstract

We consider a model nondispersive nonlinear optical fiber channel with additive Gaussian noise at large SNR (signal-to-noise ratio) in the intermediate power region. Using Feynman path-integral technique we find the optimal input signal distribution maximizing the channel's per-sample mutual information. The finding of the optimal input signal distribution allows us to improve previously known estimates for the channel capacity. We show that in the intermediate power regime the per-sample mutual information for the optimal input signal distribution is greater than the per-sample mutual information for the Gaussian and half-Gaussian input signal distributions.

Original languageEnglish
Title of host publicationNonlinear Optics and its Applications 2018
PublisherSPIE
Volume10684
ISBN (Electronic)9781510618947
DOIs
Publication statusPublished - 14 May 2018
EventNonlinear Optics and its Applications 2018 - Strasbourg, France
Duration: 23 Apr 201825 Apr 2018

Publication series

NameProceedings of SPIE
PublisherSPIE
Volume10684
ISSN (Print)0277-786X

Conference

ConferenceNonlinear Optics and its Applications 2018
CountryFrance
CityStrasbourg
Period23/04/1825/04/18

Bibliographical note

Copyright 2018 SPIE. One print or electronic copy may be made for personal use only. Systematic reproduction, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.

Keywords

  • Channel capacity
  • Path-integral

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    Terekhov, I. S., Reznichenko, A. V., & Turitsyn, S. K. (2018). Optimal input signal distribution and capacity for nondispersive nonlinear optical fiber channel at large signal to noise ratio. In Nonlinear Optics and its Applications 2018 (Vol. 10684). [106840W] (Proceedings of SPIE; Vol. 10684). SPIE. https://doi.org/10.1117/12.2307299