142 citations · 515 across the 42 of their papers we have counts for
9 papers · 1 filter
Experimental Evaluation of Computational Complexity for Different Neural Network Equalizers in Optical Communications
Pedro J. Freire, Yevhenii Osadchuk, Antonio Napoli +5
Addressing the neural network-based optical channel equalizers, we quantify the trade-off between their performance and complexity by carrying out the comparative analysis of sever…
Neural Networks-based Equalizers for Coherent Optical Transmission: Caveats and Pitfalls
Pedro J. Freire, Antonio Napoli, Bernhard Spinnler +3
This paper performs a detailed, multi-faceted analysis of key challenges and common design caveats related to the development of efficient neural networks (NN) nonlinear channel eq…
Deep Neural Network-aided Soft-Demapping in Optical Coherent Systems: Regression versus Classification
Pedro J. Freire, Jaroslaw E. Prilepsky, Yevhenii Osadchuk +2
We examine here what type of predictive modelling, classification, or regression, using neural networks (NN), fits better the task of soft-demapping based post-processing in cohere…
Experimental implementation of a neural network optical channel equalizer in restricted hardware using pruning and quantization
Diego R. Arguello, Pedro J. Freire, Jaroslaw E. Prilepsky +3
The deployment of artificial neural networks-based optical channel equalizers on edge-computing devices is critically important for the next generation of optical communication sys…
End-to-End Deep Learning of Long-Haul Coherent Optical Fiber Communications via Regular Perturbation Model
Vladislav Neskorniuk, Andrea Carnio, Vinod Bajaj +4
We present a novel end-to-end autoencoder-based learning for coherent optical communications using a "parallelizable" perturbative channel model. We jointly optimized constellation…
Power and Modulation Format Transfer Learning for Neural Network Equalizers in Coherent Optical Transmission Systems
Pedro J. Freire, Daniel Abode, Jaroslaw E. Prilepsky +1
Transfer learning is proposed to adapt an NN-based nonlinear equalizer across different launch powers and modulation formats using a 450km TWC-fiber transmission. The result shows…