Fiber nonlinearity-induced penalty reduction in CO-OFDM by ANN-based nonlinear equalization

Elias Giacoumidis*, Son T. Le, Mohammad Ghanbarisabagh, Mary McCarthy, Ivan Aldaya, Sofien Mhatli, Mutsam A. Jarajreh, Paul A. Haigh, Nick J. Doran, Andrew D. Ellis, Benjamin J. Eggleton

*Corresponding author for this work

Research output: Contribution to journalArticle

Abstract

We experimentally demonstrate ∼2 dB quality (Q)-factor enhancement in terms of fiber nonlinearity compensation of 40 Gb/s 16 quadrature amplitude modulation coherent optical orthogonal frequency-division multiplexing at 2000 km, using a nonlinear equalizer (NLE) based on artificial neural networks (ANN). Nonlinearity alleviation depends on escalation of the ANN training overhead and the signal bit rate, reporting ∼4 dB Q-factor enhancement at 70 Gb/s, whereas a reduction of the number of ANN neurons annihilates the NLE performance. An enhanced performance by up to ∼2 dB in Q-factor compared to the inverse Volterra-series transfer function NLE leads to a breakthrough in the efficiency of ANN.

Original languageEnglish
Pages (from-to)5113-5116
Number of pages4
JournalOptics Letters
Volume40
Issue number21
Early online date30 Sep 2015
DOIs
Publication statusPublished - 30 Oct 2015

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    Giacoumidis, E., Le, S. T., Ghanbarisabagh, M., McCarthy, M., Aldaya, I., Mhatli, S., Jarajreh, M. A., Haigh, P. A., Doran, N. J., Ellis, A. D., & Eggleton, B. J. (2015). Fiber nonlinearity-induced penalty reduction in CO-OFDM by ANN-based nonlinear equalization. Optics Letters, 40(21), 5113-5116. https://doi.org/10.1364/OL.40.005113