Bayesian Optimization-Based Algorithm to Improve the Quality of Transmission Estimation

Reda Ayassi; Reda Ayassi; Ahmed Triki; Maxime Laye; Esther Le Rouzic; Noel Crespi; Roberto Minerva

doi:10.1364/NETWORKS.2021.NeF2B.3

OSA Advanced Photonics Congress 2021
OSA Technical Digest (Optica Publishing Group, 2021),
paper NeF2B.3
•https://doi.org/10.1364/NETWORKS.2021.NeF2B.3

Bayesian Optimization-Based Algorithm to Improve the Quality of Transmission Estimation

Reda Ayassi, Ahmed Triki, Maxime Laye, Esther Le Rouzic, Noel Crespi, and Roberto Minerva

Photonic Networks and Devices 2021

Washington, DC United States
26–29 July 2021
ISBN: 978-1-943580-94-1

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Machine Learning and Network Monitoring (NeF2B)

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R. Ayassi, A. Triki, M. Laye, E. Le Rouzic, N. Crespi, and R. Minerva, "Bayesian Optimization-Based Algorithm to Improve the Quality of Transmission Estimation," in OSA Advanced Photonics Congress 2021, B. Yang, F. Leo, A. Tauke-Pedretti, S. Arafin, M. Clerici, L. Caspani, L. Busse, M. Kats, J. Fan, W. Ming (Steve) Lee, D. Caplan, N. Parsons, W. Freude, C. Tremblay, D. Hillerkuss, K. Igarashi, H. Elgala, N. Guerrero Gonzalez, R. "Patty" Stabile, K. Jaeger, R. Saive, H. Aziz, and H. Tan, eds., OSA Technical Digest (Optica Publishing Group, 2021), paper NeF2B.3.

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Abstract

We propose a Bayesian Optimization-based algorithm to assess the optical parameters that are taken as input by the QoT computation tool. The method reduces the error in computed OSNR down to 0.07dB.

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