Branch Identification in Passive Optical Networks using Machine Learning

• URL: http://arxiv.org/abs/2304.00285v1
• Date: Sat, 1 Apr 2023 10:26:16 GMT
• Title: Branch Identification in Passive Optical Networks using Machine Learning
• Authors: khouloud Abdelli, Carsten Tropschug, Helmut Griesser, Sander Jansen, and Stephan Pachnicke
• Abstract summary: 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.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• 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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