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Branch Identification in Passive Optical Networks using Machine Learning

Machine Learning 2023-04-04 v1 Networking and Internet Architecture Signal Processing
Authors: 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

Keywords

deep learning for image classification object detection anomaly detection

Cite

@article{arxiv.2304.00285,
  title  = {Branch Identification in Passive Optical Networks using Machine Learning},
  author = {khouloud Abdelli and Carsten Tropschug and Helmut Griesser and Sander Jansen and Stephan Pachnicke},
  journal= {arXiv preprint arXiv:2304.00285},
  year   = {2023}
}

Comments

Optical Fiber Communication Conference (OFC) 2023

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