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Harnessing machine learning for fiber-induced nonlinearity mitigation in long-haul coherent optical OFDM

Author

Listed:
  • Elias Giacoumidis

    (Radio and Optical Laboratory, School of Electronic Engineering, Dublin City University, Glasnevin 9, Dublin D09 Y5N0, Ireland)

  • Yi Lin

    (Radio and Optical Laboratory, School of Electronic Engineering, Dublin City University, Glasnevin 9, Dublin D09 Y5N0, Ireland)

  • Jinlong Wei

    (Huawei Technologies Düsseldorf GmbH, European Research Center, Riesstrasse 25, 80992 München, Germany)

  • Ivan Aldaya

    (Campus São Joao da Boa Vista, State University of São Paulo (UNESP), 13876-750 São Paulo, Brazil)

  • Athanasios Tsokanos

    (Centre for Computer Science and Informatics Research, School of Computer Science, University of Hertfordshire, Hatfield AL10 9AB, UK)

  • Liam P. Barry

    (Radio and Optical Laboratory, School of Electronic Engineering, Dublin City University, Glasnevin 9, Dublin D09 Y5N0, Ireland)

Abstract

Coherent optical orthogonal frequency division multiplexing (CO-OFDM) has attracted a lot of interest in optical fiber communications due to its simplified digital signal processing (DSP) units, high spectral-efficiency, flexibility, and tolerance to linear impairments. However, CO-OFDM’s high peak-to-average power ratio imposes high vulnerability to fiber-induced non-linearities. DSP-based machine learning has been considered as a promising approach for fiber non-linearity compensation without sacrificing computational complexity. In this paper, we review the existing machine learning approaches for CO-OFDM in a common framework and review the progress in this area with a focus on practical aspects and comparison with benchmark DSP solutions.

Suggested Citation

  • Elias Giacoumidis & Yi Lin & Jinlong Wei & Ivan Aldaya & Athanasios Tsokanos & Liam P. Barry, 2018. "Harnessing machine learning for fiber-induced nonlinearity mitigation in long-haul coherent optical OFDM," Future Internet, MDPI, vol. 11(1), pages 1-20, December.
    • Handle: RePEc:gam:jftint:v:11:y:2018:i:1:p:2-:d:192052
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    References listed on IDEAS

    as
    1. Partha P. Mitra & Jason B. Stark, 2001. "Nonlinear limits to the information capacity of optical fibre communications," Nature, Nature, vol. 411(6841), pages 1027-1030, June.
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