58 citations · 99 across the 14 of their papers we have counts for
4 papers · 1 filter
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…
Experimental Study of Deep Neural Network Equalizers Performance in Optical Links
Pedro J. Freire, Yevhenii Osadchuk, Bernhard Spinnler +5
We propose a convolutional-recurrent channel equalizer and experimentally demonstrate 1dB Q-factor improvement both in single-channel and 96 x WDM, DP-16QAM transmission over 450km…
Transfer Learning for Neural Networks-based Equalizers in Coherent Optical Systems
Pedro J. Freire, Daniel Abode, Jaroslaw E. Prilepsky +4
In this work, we address the question of the adaptability of artificial neural networks (NNs) used for impairments mitigation in optical transmission systems. We demonstrate that b…
Performance versus Complexity Study of Neural Network Equalizers in Coherent Optical Systems
Pedro J. Freire, Yevhenii Osadchuk, Bernhard Spinnler +5
We present the results of the comparative analysis of the performance versus complexity for several types of artificial neural networks (NNs) used for nonlinear channel equalizatio…