Experimental Demonstration of ML-Based DWDM System Margin Estimation

Carmen Mas-Machuca; Daniel C. Kilper; Frank Slyne; Jasper M\"uller; J\"org-Peter Elbers; Kaida Kaeval; Marco Ruffini; Sebastian Troia; Tobias Fehenberger

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Experimental Demonstration of ML-Based DWDM System Margin Estimation

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arxiv 2302.08275 v1 pith:TLYZSSLH submitted 2023-02-16 cs.NI eess.SP

Jasper Müller , Frank Slyne , Kaida Kaeval , Sebastian Troia , Tobias Fehenberger , Jörg-Peter Elbers , Daniel C. Kilper , Marco Ruffini

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Carmen Mas-Machuca

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classification cs.NIeess.SP

keywords datadwdmexperimentalaccurateachievesdemonstrationdetailedestimated

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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.

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