Experimental Demonstration of ML-Based DWDM System Margin Estimation

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Feb 16, 2023
Jasper Müller, Frank Slyne, Kaida Kaeval, Sebastian Troia, Tobias Fehenberger, Jörg-Peter Elbers, Daniel C. Kilper, Marco Ruffini, Carmen Mas-Machuca
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SNR margins between partially and fully loaded DWDM systems are estimated without detailed knowledge of the network. The ML model, trained on simulation data, achieves accurate predictions on experimental data with an RMSE of 0.16 dB.

* This work has been partially funded by the German Federal Ministry of Education and Research in the CELTIC-NEXT project AI-NET-PROTECT (#16KIS1279K) and in the programme of "Souver\"an. Digital. Vernetzt." joint project 6G-life (#16KISK002). Work was also funded by Science Foundation Ireland projects OpenIreland (18/RI/5721) and 13/RC/2077 p2  
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