Conference paper
Optimization of Raman amplifiers using machine learning
Machine Learning in Photonic Systems, Department of Photonics Engineering, Technical University of Denmark1
Department of Photonics Engineering, Technical University of Denmark2
Centre of Excellence for Silicon Photonics for Optical Communications, Centers, Technical University of Denmark3
Ultra-fast Optical Communication, Department of Photonics Engineering, Technical University of Denmark4
Polytechnic University of Turin5
It has been recently demonstrated that neural networks can learn the complex pump-signal relations in Raman amplifiers. Here we experimentally show how these neural network models are applied to provide highly-accurate Raman amplifier designs and flexible configuration for ultra-wideband optical communication systems.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2021 |
| Pages: | 1-2 |
| Proceedings: | 2021 IEEE Photonics Society Summer Topicals Meeting Series |
| ISBN: | 1665416009 and 9781665416009 |
| ISSN: | 23768614 and 10994742 |
| Types: | Conference paper |
| DOI: | 10.1109/SUM48717.2021.9505708 |
| ORCIDs: | de Moura, U. C. , Da Ros, F. and Zibar, D. |
