Successive Quantization of the Neural Network Equalizers in Optical Fiber Communication

A pragmatic successive quantization approach is applied to a neural network equalizer in a 16-QAM dual-polarization fiber transmission experiment over a 9x50km TWC fiber link. Quantization at 5 bits reduces the complexity by 85%, with a negligible Q-factor penalty.