Experimental comparison of artificial neural network and volterra based nonlinear equalization for CO-OFDM

Elias Giacoumidis; Son T. Le; Ivan Aldaya; Jinlong Wei; Mary McCarthy; Nick Doran; Benjamin Eggleton

doi:10.1364/OFC.2016.W3A.4

Experimental comparison of artificial neural network and volterra based nonlinear equalization for CO-OFDM

Elias Giacoumidis
, Son T. Le
, Ivan Aldaya
, Jinlong Wei
, Mary McCarthy
, Nick Doran
, Benjamin Eggleton

Aston Institute of Photonic Technologies (AiPT)

Research output: Chapter in Book/Published conference output › Conference publication

19 Citations (SciVal)

Abstract

A novel artificial neural network (ANN)-based nonlinear equalizer (NLE) of low complexity is demonstrated for 40-Gb/s CO-OFDM at 2000 km, revealing ∼1.5 dB enhancement in Q-factor compared to inverse Volterra-series transfer function based NLE.

Original language	English
Title of host publication	Optical Fiber Communication Conference 2016
DOIs	https://doi.org/10.1364/OFC.2016.W3A.4
Publication status	Published - 22 Mar 2016
Event	Optical Fiber Communication Conference 2016 - Anaheim, CA, United States Duration: 20 Mar 2016 → 22 Mar 2016

Conference

Conference	Optical Fiber Communication Conference 2016
Country/Territory	United States
City	Anaheim, CA
Period	20/03/16 → 22/03/16

Bibliographical note

-

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10.1364/OFC.2016.W3A.4

Cite this

@inproceedings{0adb72c36b0141598226c90a330f0882,

title = "Experimental comparison of artificial neural network and volterra based nonlinear equalization for CO-OFDM",

abstract = "A novel artificial neural network (ANN)-based nonlinear equalizer (NLE) of low complexity is demonstrated for 40-Gb/s CO-OFDM at 2000 km, revealing ∼1.5 dB enhancement in Q-factor compared to inverse Volterra-series transfer function based NLE.",

author = "Elias Giacoumidis and Le, \{Son T.\} and Ivan Aldaya and Jinlong Wei and Mary McCarthy and Nick Doran and Benjamin Eggleton",

note = "-; Optical Fiber Communication Conference 2016 ; Conference date: 20-03-2016 Through 22-03-2016",

year = "2016",

month = mar,

day = "22",

doi = "10.1364/OFC.2016.W3A.4",

language = "English",

isbn = "978-1-943580-07-1",

booktitle = "Optical Fiber Communication Conference 2016",

}

Giacoumidis, E, Le, ST, Aldaya, I, Wei, J, McCarthy, M, Doran, N & Eggleton, B 2016, Experimental comparison of artificial neural network and volterra based nonlinear equalization for CO-OFDM. in Optical Fiber Communication Conference 2016., paper W3A.4, Optical Fiber Communication Conference 2016, Anaheim, CA, United States, 20/03/16. https://doi.org/10.1364/OFC.2016.W3A.4

TY - GEN

T1 - Experimental comparison of artificial neural network and volterra based nonlinear equalization for CO-OFDM

AU - Giacoumidis, Elias

AU - Le, Son T.

AU - Aldaya, Ivan

AU - Wei, Jinlong

AU - McCarthy, Mary

AU - Doran, Nick

AU - Eggleton, Benjamin

N1 - -

PY - 2016/3/22

Y1 - 2016/3/22

N2 - A novel artificial neural network (ANN)-based nonlinear equalizer (NLE) of low complexity is demonstrated for 40-Gb/s CO-OFDM at 2000 km, revealing ∼1.5 dB enhancement in Q-factor compared to inverse Volterra-series transfer function based NLE.

AB - A novel artificial neural network (ANN)-based nonlinear equalizer (NLE) of low complexity is demonstrated for 40-Gb/s CO-OFDM at 2000 km, revealing ∼1.5 dB enhancement in Q-factor compared to inverse Volterra-series transfer function based NLE.

UR - https://www.scopus.com/pages/publications/84986192010

UR - https://www.osapublishing.org/abstract.cfm?URI=OFC-2016-W3A.4

U2 - 10.1364/OFC.2016.W3A.4

DO - 10.1364/OFC.2016.W3A.4

M3 - Conference publication

AN - SCOPUS:84986192010

SN - 978-1-943580-07-1

BT - Optical Fiber Communication Conference 2016

T2 - Optical Fiber Communication Conference 2016

Y2 - 20 March 2016 through 22 March 2016

ER -

Experimental comparison of artificial neural network and volterra based nonlinear equalization for CO-OFDM

Abstract

Conference

Bibliographical note

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Advantages of strong mode coupling for suppression of nonlinear distortion in few-mode fibers

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Characterisation of cascaded Raman-assisted fibre optical parametric amplifiers using WDM QPSK signals

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