Intra and inter-channel nonlinearity compensation in WDM coherent optical OFDM using artificial neural network based nonlinear equalization

Elias Giacoumidis*, Sofien Mhatli, Jinlong Wei, Son T. Le, Ivan Aldaya, Marc F.C. Stephens, Mary E. McCarthy, Andrew D. Ellis, Nick J. Doran, Benjamin Eggleton

*Corresponding author for this work

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

Abstract

Nonlinear effects are experimentally tackled, for the first time, in WDM-CO-OFDM by an artificial neural network (ANN)-based equalizer at 3200 km. For the middle 20-Gb/s channel ANN outperforms to Volterra-based equalization by ~2-dB in Q-factor.

Original languageEnglish
Title of host publication2017 Optical Fiber Communications Conference and Exhibition (OFC 2017), proceedings
PublisherOptical Society of America
Number of pages3
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

Wavelength division multiplexing
Orthogonal frequency division multiplexing
Neural networks
Equalizers
Carbon Monoxide
Compensation and Redress

Bibliographical note

-Funding: Centre of Eccellence, Laureate Fellowship, EPSRC and FPESP.

Cite this

Giacoumidis, E., Mhatli, S., Wei, J., Le, S. T., Aldaya, I., Stephens, M. F. C., ... Eggleton, B. (2017). Intra and inter-channel nonlinearity compensation in WDM coherent optical OFDM using artificial neural network based nonlinear equalization. In 2017 Optical Fiber Communications Conference and Exhibition (OFC 2017), proceedings [paper Th2A.62] Optical Society of America. https://doi.org/10.1364/OFC.2017.Th2A.62
Giacoumidis, Elias ; Mhatli, Sofien ; Wei, Jinlong ; Le, Son T. ; Aldaya, Ivan ; Stephens, Marc F.C. ; McCarthy, Mary E. ; Ellis, Andrew D. ; Doran, Nick J. ; Eggleton, Benjamin . / Intra and inter-channel nonlinearity compensation in WDM coherent optical OFDM using artificial neural network based nonlinear equalization. 2017 Optical Fiber Communications Conference and Exhibition (OFC 2017), proceedings. Optical Society of America, 2017.
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abstract = "Nonlinear effects are experimentally tackled, for the first time, in WDM-CO-OFDM by an artificial neural network (ANN)-based equalizer at 3200 km. For the middle 20-Gb/s channel ANN outperforms to Volterra-based equalization by ~2-dB in Q-factor.",
author = "Elias Giacoumidis and Sofien Mhatli and Jinlong Wei and Le, {Son T.} and Ivan Aldaya and Stephens, {Marc F.C.} and McCarthy, {Mary E.} and Ellis, {Andrew D.} and Doran, {Nick J.} and Benjamin Eggleton",
note = "-Funding: Centre of Eccellence, Laureate Fellowship, EPSRC and FPESP.",
year = "2017",
month = "3",
day = "23",
doi = "10.1364/OFC.2017.Th2A.62",
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Giacoumidis, E, Mhatli, S, Wei, J, Le, ST, Aldaya, I, Stephens, MFC, McCarthy, ME, Ellis, AD, Doran, NJ & Eggleton, B 2017, Intra and inter-channel nonlinearity compensation in WDM coherent optical OFDM using artificial neural network based nonlinear equalization. in 2017 Optical Fiber Communications Conference and Exhibition (OFC 2017), proceedings., paper Th2A.62, Optical Society of America, Optical Fiber Communication Conference, OFC 2017, Los Angeles, United States, 19/03/17. https://doi.org/10.1364/OFC.2017.Th2A.62

Intra and inter-channel nonlinearity compensation in WDM coherent optical OFDM using artificial neural network based nonlinear equalization. / Giacoumidis, Elias; Mhatli, Sofien; Wei, Jinlong; Le, Son T.; Aldaya, Ivan; Stephens, Marc F.C.; McCarthy, Mary E.; Ellis, Andrew D.; Doran, Nick J.; Eggleton, Benjamin .

2017 Optical Fiber Communications Conference and Exhibition (OFC 2017), proceedings. Optical Society of America, 2017. paper Th2A.62.

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

TY - GEN

T1 - Intra and inter-channel nonlinearity compensation in WDM coherent optical OFDM using artificial neural network based nonlinear equalization

AU - Giacoumidis, Elias

AU - Mhatli, Sofien

AU - Wei, Jinlong

AU - Le, Son T.

AU - Aldaya, Ivan

AU - Stephens, Marc F.C.

AU - McCarthy, Mary E.

AU - Ellis, Andrew D.

AU - Doran, Nick J.

AU - Eggleton, Benjamin

N1 - -Funding: Centre of Eccellence, Laureate Fellowship, EPSRC and FPESP.

PY - 2017/3/23

Y1 - 2017/3/23

N2 - Nonlinear effects are experimentally tackled, for the first time, in WDM-CO-OFDM by an artificial neural network (ANN)-based equalizer at 3200 km. For the middle 20-Gb/s channel ANN outperforms to Volterra-based equalization by ~2-dB in Q-factor.

AB - Nonlinear effects are experimentally tackled, for the first time, in WDM-CO-OFDM by an artificial neural network (ANN)-based equalizer at 3200 km. For the middle 20-Gb/s channel ANN outperforms to Volterra-based equalization by ~2-dB in Q-factor.

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DO - 10.1364/OFC.2017.Th2A.62

M3 - Conference contribution

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SN - 978-1-943580-23-1

BT - 2017 Optical Fiber Communications Conference and Exhibition (OFC 2017), proceedings

PB - Optical Society of America

ER -

Giacoumidis E, Mhatli S, Wei J, Le ST, Aldaya I, Stephens MFC et al. Intra and inter-channel nonlinearity compensation in WDM coherent optical OFDM using artificial neural network based nonlinear equalization. In 2017 Optical Fiber Communications Conference and Exhibition (OFC 2017), proceedings. Optical Society of America. 2017. paper Th2A.62 https://doi.org/10.1364/OFC.2017.Th2A.62