262 citations · 867 across the 19 of their papers we have counts for
5 papers · 1 filter
Quantization of Neural Network Equalizers in Optical Fiber Transmission Experiments
Jamal Darweesh, Nelson Costa, Antonio Napoli +3
The quantization of neural networks for the mitigation of the nonlinear and components' distortions in dual-polarization optical fiber transmission is studied. Two low-complexity n…
Low Complexity Convolutional Neural Networks for Equalization in Optical Fiber Transmission
Mohannad Abu-romoh, Nelson Costa, Antonio Napoli +3
A convolutional neural network is proposed to mitigate fiber transmission effects, achieving a five-fold reduction in trainable parameters compared to alternative equalizers, and 3…
Complexity Reduction over Bi-RNN-Based Nonlinearity Mitigation in Dual-Pol Fiber-Optic Communications via a CRNN-Based Approach
Abtin Shahkarami, Mansoor Yousefi, Yves Jaouen
Bidirectional recurrent neural networks (bi-RNNs), in particular, bidirectional long short term memory (bi-LSTM), bidirectional gated recurrent unit, and convolutional bi-LSTM mode…
Few-bit Quantization of Neural Networks for Nonlinearity Mitigation in a Fiber Transmission Experiment
Jamal Darweesh, Nelson Costa, Antonio Napoli +4
A neural network is quantized for the mitigation of nonlinear and components distortions in a 16-QAM 9x50km dual-polarization fiber transmission experiment. Post-training additive…
Learned Digital Back-Propagation for Dual-Polarization Dispersion Managed Systems
Mohannad Abu-romoh, Nelson Costa, Antonio Napoli +3
Digital back-propagation (DBP) and learned DBP (LDBP) are proposed for nonlinearity mitigation in WDM dual-polarization dispersion-managed systems. LDBP achieves Q-factor improveme…