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arxiv: 2112.04031 · v1 · pith:RP2HDSU5 · submitted 2021-12-07 · cs.NI

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

Jasper M\"uller , Tobias Fehenberger , Sai Kireet Patri , Kaida Kaeval , Helmut Griesser , Marko Tikas , J\"org-Peter Elbers This is my paper

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classification cs.NI
keywords livenetworkconfigurationdatademonstrateerrorestimatingestimation
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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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