Kerr-induced nonlinearity reduction in coherent optical OFDM by low complexity support vector machine regression-based equalization

Elias Giacoumidis; Sofien Mhatli; Tu Nguyen; Son T. Le; Ivan Aldaya; Mary McCarthy; Benjamin Eggleton

doi:10.1364/OFC.2016.Th2A.49

Kerr-induced nonlinearity reduction in coherent optical OFDM by low complexity support vector machine regression-based equalization

Elias Giacoumidis
, Sofien Mhatli
, Tu Nguyen
, Son T. Le
, Ivan Aldaya
, Mary McCarthy
, Benjamin Eggleton

Aston Institute of Photonic Technologies (AiPT)

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

18 Citations (Scopus)

Abstract

We experimentally demonstrate 7-dB reduction of nonlinearity penalty in 40-Gb/s CO-OFDM at 2000-km using support vector machine regression-based equalization. Simulation in WDM-CO-OFDM shows up to 12-dB enhancement in Q-factor compared to linear equalization.

Original language	English
Title of host publication	Optical Fiber Communication Conference 2016
DOIs	https://doi.org/10.1364/OFC.2016.Th2A.49
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.Th2A.49

Cite this

@inproceedings{605287a5a5d143b09db14cbf66448b50,

title = "Kerr-induced nonlinearity reduction in coherent optical OFDM by low complexity support vector machine regression-based equalization",

abstract = "We experimentally demonstrate 7-dB reduction of nonlinearity penalty in 40-Gb/s CO-OFDM at 2000-km using support vector machine regression-based equalization. Simulation in WDM-CO-OFDM shows up to 12-dB enhancement in Q-factor compared to linear equalization.",

author = "Elias Giacoumidis and Sofien Mhatli and Tu Nguyen and Le, \{Son T.\} and Ivan Aldaya and Mary McCarthy 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.Th2A.49",

language = "English",

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

booktitle = "Optical Fiber Communication Conference 2016",

}

Giacoumidis, E, Mhatli, S, Nguyen, T, Le, ST, Aldaya, I, McCarthy, M & Eggleton, B 2016, Kerr-induced nonlinearity reduction in coherent optical OFDM by low complexity support vector machine regression-based equalization. in Optical Fiber Communication Conference 2016., paper Th2A.49, Optical Fiber Communication Conference 2016, Anaheim, CA, United States, 20/03/16. https://doi.org/10.1364/OFC.2016.Th2A.49

TY - GEN

T1 - Kerr-induced nonlinearity reduction in coherent optical OFDM by low complexity support vector machine regression-based equalization

AU - Giacoumidis, Elias

AU - Mhatli, Sofien

AU - Nguyen, Tu

AU - Le, Son T.

AU - Aldaya, Ivan

AU - McCarthy, Mary

AU - Eggleton, Benjamin

N1 - -

PY - 2016/3/22

Y1 - 2016/3/22

N2 - We experimentally demonstrate 7-dB reduction of nonlinearity penalty in 40-Gb/s CO-OFDM at 2000-km using support vector machine regression-based equalization. Simulation in WDM-CO-OFDM shows up to 12-dB enhancement in Q-factor compared to linear equalization.

AB - We experimentally demonstrate 7-dB reduction of nonlinearity penalty in 40-Gb/s CO-OFDM at 2000-km using support vector machine regression-based equalization. Simulation in WDM-CO-OFDM shows up to 12-dB enhancement in Q-factor compared to linear equalization.

UR - https://www.scopus.com/pages/publications/84986209223

UR - https://www.osapublishing.org/abstract.cfm?URI=OFC-2016-Th2A.49

U2 - 10.1364/OFC.2016.Th2A.49

DO - 10.1364/OFC.2016.Th2A.49

M3 - Conference publication

AN - SCOPUS:84986209223

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 -

Kerr-induced nonlinearity reduction in coherent optical OFDM by low complexity support vector machine regression-based equalization

Abstract

Conference

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