Successive Quantization of the Neural Network Equalizers in Optical Fiber Communication
Résumé
pragmatic successive quantization approach is applied to a neural network equalizer in a 16-QAM dualpolarization fiber transmission experiment over a 9x50km TWC fiber link. Quantization at 5 bits reduces the complexity by 85%, with a negligible Q-factor penalty
Origine | Fichiers produits par l'(les) auteur(s) |
---|