4.6 Article

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

Journal

OPTICS LETTERS
Volume 40, Issue 21, Pages 5113-5116

Publisher

OPTICAL SOC AMER
DOI: 10.1364/OL.40.005113

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Funding

  1. Centre of Excellence (CUDOS) [CE110001018]
  2. Laureate Fellowship [FL120100029]
  3. EPSRC [EP/J009709/1, EP/J009709/2] Funding Source: UKRI
  4. Engineering and Physical Sciences Research Council [EP/J009709/2, EP/J009709/1] Funding Source: researchfish

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We experimentally demonstrate similar to 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 similar to 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 similar to 2 dB in Q-factor compared to the inverse Volterra-series transfer function NLE leads to a breakthrough in the efficiency of ANN. (C) 2015 Optical Society of America

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