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

Giacoumidis, Elias, Le, Son T., Ghanbarisabagh, Mohammad, McCarthy, Mary, Aldaya, Ivan, Mhatli, Sofien, Jarajreh, Mutsam A., Haigh, Paul A., Doran, Nick J., Ellis, Andrew D. and Eggleton, Benjamin J. (2015). Fiber nonlinearity-induced penalty reduction in CO-OFDM by ANN-based nonlinear equalization. Optics Letters, 40 (21), pp. 5113-5116.


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.

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Divisions: Engineering & Applied Sciences > Electrical, electronic & power engineering
Engineering & Applied Sciences > Institute of Photonics
Uncontrolled Keywords: Atomic and Molecular Physics, and Optics
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Published Date: 2015-10-30
Authors: Giacoumidis, Elias
Le, Son T. ( 0000-0002-3824-9456)
Ghanbarisabagh, Mohammad
McCarthy, Mary ( 0000-0002-1348-1574)
Aldaya, Ivan
Mhatli, Sofien
Jarajreh, Mutsam A.
Haigh, Paul A.
Doran, Nick J.
Ellis, Andrew D. ( 0000-0002-0417-0547)
Eggleton, Benjamin J.


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