We investigate a Machine Learning regression model for Optical Signal-to-Noise Ratio (OSNR) distribution estimation of unestablished lightpaths. The regressor exposes the estimation uncertainty and how close to a threshold each lightpath resides.
Machine Learning Regression vs. Classification for QoT Estimation of Unestablished Lightpaths
Ibrahimi, Memedhe;Abdollahi, Hatef;Giusti, Alessandro;Rottondi, Cristina;Tornatore, Massimo
2020-01-01
Abstract
We investigate a Machine Learning regression model for Optical Signal-to-Noise Ratio (OSNR) distribution estimation of unestablished lightpaths. The regressor exposes the estimation uncertainty and how close to a threshold each lightpath resides.File in questo prodotto:
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