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On the Robustness of a ML-based Method for QoT Tool Parameter Refinement in Partially Loaded Networks | IEEE Conference Publication | IEEE Xplore

On the Robustness of a ML-based Method for QoT Tool Parameter Refinement in Partially Loaded Networks


Abstract:

The robustness of a ML-based QoT input parameters refinement technique in partially loaded networks (both static and dynamic) is assessed using experimental data. SNR pre...Show More

Abstract:

The robustness of a ML-based QoT input parameters refinement technique in partially loaded networks (both static and dynamic) is assessed using experimental data. SNR prediction error is reduced by up to 1dB over >40000 services. © 2021 The Author(s)
Date of Conference: 06-10 March 2022
Date Added to IEEE Xplore: 13 April 2022
ISBN Information:
Conference Location: San Diego, CA, USA

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