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 (Academic Journal)peer-review

71 Citations (Scopus)

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
DOIs
Publication statusPublished - 1 Nov 2015

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