Attention-Based Neural Network Equalization in Fiber-Optic Communications
Résumé
An attention mechanism is integrated into neural network-based equalizers to prune the fully-connected output layer. For a 100 GBd 16-QAM 20 × 100 km SMF transmission, this approach reduces the computational complexity by ∼15% in a CNN+LSTM model.
Origine : Fichiers produits par l'(les) auteur(s)