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arXiv · 2304.00285

Branch Identification in Passive Optical Networks using Machine Learning

khouloud Abdelli·Carsten Tropschug·Helmut Griesser·Sander Jansen·Stephan Pachnicke
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Abstract

A machine learning approach for improving monitoring in passive optical networks with almost equidistant branches is proposed and experimentally validated. It achieves a high diagnostic accuracy of 98.7% and an event localization error of 0.5m

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khouloud Abdelli, Carsten Tropschug, Helmut Griesser, Sander Jansen, Stephan Pachnicke. 2023-04-01. Branch Identification in Passive Optical Networks using Machine Learning. https://arxiv.org/abs/2304.00285

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