title: Fiber nonlinearity-induced penalty reduction in CO-OFDM by ANN-based nonlinear equalization.
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  dBQ-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.
authors.forename: Elias
authors.initials: E
authors.lastname: Giacoumidis
authors.forename: Son T
authors.initials: ST
authors.lastname: Le
authors.forename: Mohammad
authors.initials: M
authors.lastname: Ghanbarisabagh
authors.forename: Mary
authors.initials: M
authors.lastname: McCarthy
authors.forename: Ivan
authors.initials: I
authors.lastname: Aldaya
authors.forename: Sofien
authors.initials: S
authors.lastname: Mhatli
authors.forename: Mutsam A
authors.initials: MA
authors.lastname: Jarajreh
authors.forename: Paul A
authors.initials: PA
authors.lastname: Haigh
authors.forename: Nick J
authors.initials: NJ
authors.lastname: Doran
authors.forename: Andrew D
authors.initials: AD
authors.lastname: Ellis
authors.forename: Benjamin J
authors.initials: BJ
authors.lastname: Eggleton