In a simulated elastic optical network, per-service-type binary classifiers achieved higher accuracy and shorter per-model training time than a single multiclass classifier for quality-of-transmission estimation.
SON (Self- Organizing Networks) in the 5G Era: 20192030 Opportunities, Chal- lenges, Strategies & Forecasts,
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Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks
In a simulated elastic optical network, per-service-type binary classifiers achieved higher accuracy and shorter per-model training time than a single multiclass classifier for quality-of-transmission estimation.