Combining nonlinear Fourier transform and neural network-based processing in optical communications

Oleksandr Kotlyar; Maryna Pankratova; Morteza Kamalian-Kopae; Anastasiia Vasylchenkova; Jaroslaw E. Prilepsky; Sergei K. Turitsyn

doi:10.1364/OL.394115

Combining nonlinear Fourier transform and neural network-based processing in optical communications

Oleksandr Kotlyar^*, Maryna Pankratova, Morteza Kamalian-Kopae, Anastasiia Vasylchenkova, Jaroslaw E. Prilepsky, Sergei K. Turitsyn

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Abstract

We propose a method to improve the performance of the nonlinear Fourier transform (NFT)-based optical transmission system by applying the neural network post-processing of the nonlinear spectrum at the receiver. We demonstrate through numerical modeling about one order of magnitude bit error rate improvement and compare this method with machine learning processing based on the classification of the received symbols. The proposed approach also offers a way to improve numerical accuracy of the inverse NFT; therefore, it can find a range of applications beyond optical communications.

Original language	English
Pages (from-to)	3462-3465
Number of pages	4
Journal	Optics Letters
Volume	45
Issue number	13
Early online date	22 Jun 2020
DOIs	https://doi.org/10.1364/OL.394115
Publication status	Published - 1 Jul 2020

Bibliographical note

Published by The Optical Society under the terms of the Creative Commons Attribution 4.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.

Funding: H2020 Marie Skłodowska-Curie Actions (GA2015-713694, 751561); Engineering and Physical Sciences
Research Council (Project TRANSNET EP/R035342/1);
Leverhulme Trust (Grant RP-2018-063).

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10.1364/OL.394115Licence: CC BY 3.0

Combining nonlinear Fourier transform
Published by The Optical Society under the terms of the Creative Commons Attribution 4.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI
Final published version, 921 KBLicence: CC BY 3.0

Cite this

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AU - Prilepsky, Jaroslaw E.

AU - Turitsyn, Sergei K.

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Combining nonlinear Fourier transform and neural network-based processing in optical communications

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