Size of an artificial neural-network for simultaneous compensation of linear and nonlinear optical waveform distortion

Abstract

We investigated the effect of the size of an artificial neural network (ANN) on the performance when compensating for linear and nonlinear waveform distortion caused by chromatic dispersion (CD) and self-phase modulation (SPM). The results revealed that larger nonlinear waveform distortion requires more hidden-layer neurons, whereas the required number of input-layer neurons is decided by the amount of CD. The compensation performance of the ANN was evaluated by numerical simulation of 50-km standard single-mode fiber (SSMF) transmission of 16-ary quadrature amplitude modulation (16QAM) signals.