Numerical analysis of artificial neural network and volterra-based nonlinear equalizers for coherent optical OFDM

Giacoumidis, Elias, Wei, Jinlong, Jarajreh, Mutsam A., Le, Son T., Haigh, Paul A., Bohata, Jan, Perentos, Andreas, Mhatli, Sofien, Ghanbarisabagh, Mohammad, Aldaya, Ivan and Doran, Nick J. Numerical analysis of artificial neural network and volterra-based nonlinear equalizers for coherent optical OFDM. IN: PIERS 2015 Prague. PIERS proceedings . Cambridge, MA (US): Electromagnetics Academy.


One major drawback of coherent optical orthogonal frequency-division multiplexing (CO-OFDM) that hitherto remains unsolved is its vulnerability to nonlinear fiber effects due to its high peak-to-average power ratio. Several digital signal processing techniques have been investigated for the compensation of fiber nonlinearities, e.g., digital back-propagation, nonlinear pre- and post-compensation and nonlinear equalizers (NLEs) based on the inverse Volterra-series transfer function (IVSTF). Alternatively, nonlinearities can be mitigated using nonlinear decision classifiers such as artificial neural networks (ANNs) based on a multilayer perceptron. In this paper, ANN-NLE is presented for a 16QAM CO-OFDM system. The capability of the proposed approach to compensate the fiber nonlinearities is numerically demonstrated for up to 100-Gb/s and over 1000km and compared to the benchmark IVSTF-NLE. Results show that in terms of Q-factor, for 100-Gb/s at 1000km of transmission, ANN-NLE outperforms linear equalization and IVSTF-NLE by 3.2dB and 1dB, respectively.

Divisions: Engineering & Applied Sciences > Electrical, electronic & power engineering
Engineering & Applied Sciences > Institute of Photonics
Additional Information: Funding: EU 7FP (FP/2007-2013) under grant 318137 (DISCUS).
Event Title: Progress in Electromagnetics Research Symposium
Event Type: Other
Event Dates: 2015-07-06 - 2015-07-06
Uncontrolled Keywords: Electrical and Electronic Engineering,Electronic, Optical and Magnetic Materials
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Authors: Giacoumidis, Elias
Wei, Jinlong
Jarajreh, Mutsam A.
Le, Son T.
Haigh, Paul A.
Bohata, Jan
Perentos, Andreas
Mhatli, Sofien
Ghanbarisabagh, Mohammad
Aldaya, Ivan
Doran, Nick J.


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