Conference paper
Power Evolution Prediction and Optimization in a Multi-span System Based on Component-wise System Modeling
Ultra-fast Optical Communication, Department of Photonics Engineering, Technical University of Denmark1
Centre of Excellence for Silicon Photonics for Optical Communications, Centers, Technical University of Denmark2
Coding and Visual Communication, Department of Photonics Engineering, Technical University of Denmark3
Department of Photonics Engineering, Technical University of Denmark4
Machine Learning in Photonic Systems, Department of Photonics Engineering, Technical University of Denmark5
Cascades of a machine learning-based EDFA gain model trained on a single physical device and a fully differentiable stimulated Raman scattering fiber model are used to predict and optimize the power profile at the output of an experimental multi-span fully-loaded C-band optical communication system.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2020 |
| Pages: | 1-4 |
| Proceedings: | 46<sup>th</sup> European Conference on Optical Communication |
| ISBN: | 1728173612 , 1728173620 , 9781728173610 and 9781728173627 |
| Types: | Conference paper |
| DOI: | 10.1109/ECOC48923.2020.9333255 |
| ORCIDs: | Yankov, Metodi Plamenov , Moura, Uiara Celine de and Da Ros, Francesco |
