Machine learning based fiber type identification for marginless optical network operation

Using a machine learning process fed by a monitoring of the cumulated chromatic dispersion for all established light-paths, we decrease design margins by identifying the fiber type of all unknown links, avoiding a worst-case based Quality of Transmission prediction