Abstract

Optical amplifiers exhibit wavelength dependent gain resulting in power excursion. We present gain equalization techniques not suitable for flexible optical networks and focus on machine learning as an alternative solution to solve the problem.

© 2020 The Author(s)

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More Like This
Predicting Optical Power Excursions in Erbium Doped Fiber Amplifiers using Neural Networks

Maria Freire, Sebastien Mansfeld, Djamel Amar, Franck Gillet, Antoine Lavignotte, and Catherine Lepers
Su3C.7 Asia Communications and Photonics Conference (ACPC) 2018

Applications of Machine Learning in Optical Communications and Networks

Faisal N. Khan, Qirui Fan, Jianing Lu, Gai Zhou, Chao Lu, and Pak Tao Lau
M1G.5 Optical Fiber Communication Conference (OFC) 2020

Machine Learning for Cognitive Optical Network Security Management

Marija Furdek and Carlos Natalino
NeW1B.3 Photonic Networks and Devices (Networks) 2020