Artificial neural network nonlinear equalizer for coherent optical OFDM

Mutsam A. Jarajreh, Elias Giacoumidis, Ivan Aldaya, Son Thai Le, Athanasios Tsokanos, Zabih Ghassemlooy, Nick J. Doran

Research output: Contribution to journalArticle

Abstract

We propose a novel low-complexity artificial neural network (ANN)-based nonlinear equalizer (NLE) for coherent optical orthogonal frequency-division multiplexing (CO-OFDM) and compare it with the recent inverse Volterra-series transfer function (IVSTF)-based NLE over up to 1000 km of uncompensated links. Demonstration of ANN-NLE at 80-Gb/s CO-OFDM using 16-quadrature amplitude modulation reveals a Q-factor improvement after 1000-km transmission of 3 and 1 dB with respect to the linear equalization and IVSTF-NLE, respectively.
Original languageEnglish
Pages (from-to)387-390
Number of pages17
JournalIEEE Photonics Technology Letters
Volume27
Issue number4
Early online date21 Jan 2015
DOIs
Publication statusPublished - 15 Feb 2015

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Jarajreh, M. A., Giacoumidis, E., Aldaya, I., Le, S. T., Tsokanos, A., Ghassemlooy, Z., & Doran, N. J. (2015). Artificial neural network nonlinear equalizer for coherent optical OFDM. IEEE Photonics Technology Letters, 27(4), 387-390. https://doi.org/10.1109/LPT.2014.2375960