Self-Learning Approaches for Real Optical Networks

Marc Ruiz; Fabien Boitier; Patricia Layec; Luis Velasco

doi:10.1364/OFC.2019.M2A.4

Optical Fiber Communication Conference (OFC) 2019
OSA Technical Digest (Optica Publishing Group, 2019),
paper M2A.4
•https://doi.org/10.1364/OFC.2019.M2A.4

Self-Learning Approaches for Real Optical Networks

Marc Ruiz, Fabien Boitier, Patricia Layec, and Luis Velasco

Optical Fiber Communication Conference 2019

San Diego, California United States
3–7 March 2019
ISBN: 978-1-943580-53-8

From the session
A.I. in Network Operation (M2A)

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M. Ruiz, F. Boitier, P. Layec, and L. Velasco, "Self-Learning Approaches for Real Optical Networks," in Optical Fiber Communication Conference (OFC) 2019, OSA Technical Digest (Optica Publishing Group, 2019), paper M2A.4.

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Abstract

Self-learning approaches to facilitate the deployment of ML algorithms in real networks are analyzed and their performance evaluated through an illustrative use case. Results show large benefits of collective self-learning with centralized retraining.

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