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.

© 2021 The Author(s)

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More Like This
Real-Time Control Plane Operations for gOSNR QoT Estimation through OSNR Monitoring

Alan A. Díaz-Montiel, Ayush Bhardwaj, Bob Lantz, Jiakai Yu, Aamir N. Quraishy, Dan Kilper, and Marco Ruffini
F2G.5 Optical Fiber Communication Conference (OFC) 2021

Estimating Quality of Transmission in a Live Production Network using Machine Learning

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F3B.1 Optical Fiber Communication Conference (OFC) 2021