Fiber Nonlinearity Equalizer Based on Support Vector Classification for Coherent Optical OFDM

Tu Nguyen; Sofien Mhatli; Elias Giacoumidis; Ludo Van Compernolle; Marc Wuilpart; Patrice Megret

doi:10.1109/JPHOT.2016.2528886

Fiber Nonlinearity Equalizer Based on Support Vector Classification for Coherent Optical OFDM

Tu Nguyen, Sofien Mhatli, Elias Giacoumidis, Ludo Van Compernolle, Marc Wuilpart, Patrice Megret

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

Abstract

A support vector machine (SVM)-based classification nonlinear equalizer (NLE) is demonstrated, for the first time, in coherent optical orthogonal frequency-division multiplexing (CO-OFDM). For a 40-Gb/s 16 quadrature amplitude modulated (16QAM) CO-OFDM system at 400 km of transmission, SVM-NLE reduces the fiber-induced nonlinearity penalty by about 1 dB in comparison to the benchmark artificial-neural-network (ANN)-based and inverse-Volterra-series-transfer-function-based NLEs.

Original language	English
Pages (from-to)	1-9
Journal	IEEE Photonics Journal
Volume	8
Issue number	2
Early online date	11 Feb 2016
DOIs	https://doi.org/10.1109/JPHOT.2016.2528886
Publication status	Published - 1 Apr 2016

Bibliographical note

© 2016 IEEE. Translations and content mining are permitted for academic research only.
Personal use is also permitted, but republication/redistribution requires IEEE permission.
See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.

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title = "Fiber Nonlinearity Equalizer Based on Support Vector Classification for Coherent Optical OFDM",

abstract = "A support vector machine (SVM)-based classification nonlinear equalizer (NLE) is demonstrated, for the first time, in coherent optical orthogonal frequency-division multiplexing (CO-OFDM). For a 40-Gb/s 16 quadrature amplitude modulated (16QAM) CO-OFDM system at 400 km of transmission, SVM-NLE reduces the fiber-induced nonlinearity penalty by about 1 dB in comparison to the benchmark artificial-neural-network (ANN)-based and inverse-Volterra-series-transfer-function-based NLEs.",

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AU - Wuilpart, Marc

AU - Megret, Patrice

N1 - © 2016 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.

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Y1 - 2016/4/1

N2 - A support vector machine (SVM)-based classification nonlinear equalizer (NLE) is demonstrated, for the first time, in coherent optical orthogonal frequency-division multiplexing (CO-OFDM). For a 40-Gb/s 16 quadrature amplitude modulated (16QAM) CO-OFDM system at 400 km of transmission, SVM-NLE reduces the fiber-induced nonlinearity penalty by about 1 dB in comparison to the benchmark artificial-neural-network (ANN)-based and inverse-Volterra-series-transfer-function-based NLEs.

AB - A support vector machine (SVM)-based classification nonlinear equalizer (NLE) is demonstrated, for the first time, in coherent optical orthogonal frequency-division multiplexing (CO-OFDM). For a 40-Gb/s 16 quadrature amplitude modulated (16QAM) CO-OFDM system at 400 km of transmission, SVM-NLE reduces the fiber-induced nonlinearity penalty by about 1 dB in comparison to the benchmark artificial-neural-network (ANN)-based and inverse-Volterra-series-transfer-function-based NLEs.

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Fiber Nonlinearity Equalizer Based on Support Vector Classification for Coherent Optical OFDM

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