arXiv · 2112.04031
Estimating Quality of Transmission in a Live Production Network using Machine Learning
Abstract
We demonstrate QoT estimation in a live network utilizing neural networks trained on synthetic data spanning a large parameter space. The ML-model predicts the measured lightpath performance with <0.5dB SNR error over a wide configuration range.
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Jasper Müller, Tobias Fehenberger, Sai Kireet Patri, Kaida Kaeval, Helmut Griesser, Marko Tikas, Jörg-Peter Elbers. 2021-12-07. Estimating Quality of Transmission in a Live Production Network using Machine Learning. https://doi.org/10.1364/ofc.2021.tu1g.2
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