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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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 languageEnglish
Title of host publicationOptical Fiber Communication Conference 2016
PublisherOptical Society of America
ISBN (Print)978-1-943580-07-1
DOIs
Publication statusPublished - 22 Mar 2016
EventOptical Fiber Communication Conference 2016 - Anaheim, CA, United States
Duration: 20 Mar 2016 → 22 Mar 2016

Conference

ConferenceOptical Fiber Communication Conference 2016
CountryUnited States
CityAnaheim, CA
Period20/03/16 → 22/03/16

Bibliographical note

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    • Research Output

    • 8 Conference contribution

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    • Cite this

    Giacoumidis, E., Mhatli, S., Nguyen, T., Le, S. T., 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 Society of America. https://doi.org/10.1364/OFC.2016.Th2A.49