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Future Internet 2019, 11(1), 2; https://doi.org/10.3390/fi11010002

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

1
Radio and Optical Laboratory, School of Electronic Engineering, Dublin City University, Glasnevin 9, Dublin D09 Y5N0, Ireland
2
Huawei Technologies Düsseldorf GmbH, European Research Center, Riesstrasse 25, 80992 München, Germany
3
Campus São Joao da Boa Vista, State University of São Paulo (UNESP), 13876-750 São Paulo, Brazil
4
Centre for Computer Science and Informatics Research, School of Computer Science, University of Hertfordshire, Hatfield AL10 9AB, UK
*
Author to whom correspondence should be addressed.
Received: 1 October 2018 / Revised: 14 December 2018 / Accepted: 17 December 2018 / Published: 20 December 2018
(This article belongs to the Special Issue Recent Advances in DSP-Based Optical Communications)
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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. View Full-Text
Keywords: fiber optics communications; machine learning; artificial neural network; support vector machine; clustering; nonlinear equalization; coherent optical OFDM fiber optics communications; machine learning; artificial neural network; support vector machine; clustering; nonlinear equalization; coherent optical OFDM
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Giacoumidis, E.; Lin, Y.; Wei, J.; Aldaya, I.; Tsokanos, A.; Barry, L.P. Harnessing machine learning for fiber-induced nonlinearity mitigation in long-haul coherent optical OFDM. Future Internet 2019, 11, 2.

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