Nonlinear inter-subcarrier intermixing reduction in coherent optical OFDM using fast machine learning equalization

Elias Giacoumidis, Jinlong Wei, Sofien Mhatli, Marc F. Stephens, Nick J. Doran, Andrew Ellis, Benjamin Eggleton

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

Abstract

We experimentally demonstrate a Newton support vector machine (N-SVM)-based nonlinear equalizer (NLE) of reduced classifier complexity for 40-Gb/s 16-QAM CO-OFDM. At 2000-km N-SVM extends the launched optical power by 2-dB compared to Volterra-based NLE.

Original languageEnglish
Title of host publicationOptical Fiber Communication Conference 2017
PublisherOptical Society of America
ISBN (Print)978-1-943580-23-1
DOIs
Publication statusPublished - 23 Mar 2017
EventOptical Fiber Communication Conference, OFC 2017 - Los Angeles, United States
Duration: 19 Mar 201723 Mar 2017

Conference

ConferenceOptical Fiber Communication Conference, OFC 2017
CountryUnited States
CityLos Angeles
Period19/03/1723/03/17

Fingerprint

Equalizers
Orthogonal frequency division multiplexing
Support vector machines
Learning systems
Quadrature amplitude modulation
Carbon Monoxide
Classifiers

Cite this

Giacoumidis, E., Wei, J., Mhatli, S., Stephens, M. F., Doran, N. J., Ellis, A., & Eggleton, B. (2017). Nonlinear inter-subcarrier intermixing reduction in coherent optical OFDM using fast machine learning equalization. In Optical Fiber Communication Conference 2017 [paper W3J.2] Optical Society of America. https://doi.org/10.1364/OFC.2017.W3J.2
Giacoumidis, Elias ; Wei, Jinlong ; Mhatli, Sofien ; Stephens, Marc F. ; Doran, Nick J. ; Ellis, Andrew ; Eggleton, Benjamin . / Nonlinear inter-subcarrier intermixing reduction in coherent optical OFDM using fast machine learning equalization. Optical Fiber Communication Conference 2017. Optical Society of America, 2017.
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title = "Nonlinear inter-subcarrier intermixing reduction in coherent optical OFDM using fast machine learning equalization",
abstract = "We experimentally demonstrate a Newton support vector machine (N-SVM)-based nonlinear equalizer (NLE) of reduced classifier complexity for 40-Gb/s 16-QAM CO-OFDM. At 2000-km N-SVM extends the launched optical power by 2-dB compared to Volterra-based NLE.",
author = "Elias Giacoumidis and Jinlong Wei and Sofien Mhatli and Stephens, {Marc F.} and Doran, {Nick J.} and Andrew Ellis and Benjamin Eggleton",
year = "2017",
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Giacoumidis, E, Wei, J, Mhatli, S, Stephens, MF, Doran, NJ, Ellis, A & Eggleton, B 2017, Nonlinear inter-subcarrier intermixing reduction in coherent optical OFDM using fast machine learning equalization. in Optical Fiber Communication Conference 2017., paper W3J.2, Optical Society of America, Optical Fiber Communication Conference, OFC 2017, Los Angeles, United States, 19/03/17. https://doi.org/10.1364/OFC.2017.W3J.2

Nonlinear inter-subcarrier intermixing reduction in coherent optical OFDM using fast machine learning equalization. / Giacoumidis, Elias; Wei, Jinlong; Mhatli, Sofien; Stephens, Marc F.; Doran, Nick J.; Ellis, Andrew ; Eggleton, Benjamin .

Optical Fiber Communication Conference 2017. Optical Society of America, 2017. paper W3J.2.

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

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AU - Giacoumidis, Elias

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AU - Mhatli, Sofien

AU - Stephens, Marc F.

AU - Doran, Nick J.

AU - Ellis, Andrew

AU - Eggleton, Benjamin

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AB - We experimentally demonstrate a Newton support vector machine (N-SVM)-based nonlinear equalizer (NLE) of reduced classifier complexity for 40-Gb/s 16-QAM CO-OFDM. At 2000-km N-SVM extends the launched optical power by 2-dB compared to Volterra-based NLE.

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BT - Optical Fiber Communication Conference 2017

PB - Optical Society of America

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Giacoumidis E, Wei J, Mhatli S, Stephens MF, Doran NJ, Ellis A et al. Nonlinear inter-subcarrier intermixing reduction in coherent optical OFDM using fast machine learning equalization. In Optical Fiber Communication Conference 2017. Optical Society of America. 2017. paper W3J.2 https://doi.org/10.1364/OFC.2017.W3J.2