Weather-Adaptive Multi-Step Forecasting of State of Polarization Changes in Aerial Fibers Using Wavelet Neural Networks

Jurgen Gripp; Khouloud Abdelli; Matteo Lonardi; Patricia Layec; Samuel Olsson Fabien Boitier

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Weather-Adaptive Multi-Step Forecasting of State of Polarization Changes in Aerial Fibers Using Wavelet Neural Networks

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arxiv 2409.03663 v1 pith:3L4IHTSN submitted 2024-09-05 cs.NI cs.LG

Khouloud Abdelli , Matteo Lonardi , Jurgen Gripp , Samuel Olsson Fabien Boitier , Patricia Layec This is my paper · ORCID

classification cs.NIcs.LG

keywords forecastingaerialapproachchangesmulti-stepwaveletweather-adaptiveaccuracy

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We introduce a novel weather-adaptive approach for multi-step forecasting of multi-scale SOP changes in aerial fiber links. By harnessing the discrete wavelet transform and incorporating weather data, our approach improves forecasting accuracy by over 65% in RMSE and 63% in MAPE compared to baselines.

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