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arXiv · 2409.03663

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

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

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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Khouloud Abdelli, Matteo Lonardi, Jurgen Gripp, Samuel Olsson Fabien Boitier, Patricia Layec. 2024-09-05. Weather-Adaptive Multi-Step Forecasting of State of Polarization Changes in Aerial Fibers Using Wavelet Neural Networks. https://arxiv.org/abs/2409.03663

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