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

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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