Branch Identification in Passive Optical Networks using Machine Learning

Carsten Tropschug; Helmut Griesser; Khouloud Abdelli; Sander Jansen; Stephan Pachnicke

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Branch Identification in Passive Optical Networks using Machine Learning

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arxiv 2304.00285 v1 pith:UCHLFQYD submitted 2023-04-01 cs.LG cs.NIeess.SP

khouloud Abdelli , Carsten Tropschug , Helmut Griesser , Sander Jansen , Stephan Pachnicke This is my paper · ORCID

classification cs.LGcs.NIeess.SP

keywords learningmachinenetworksopticalpassiveaccuracyachievesalmost

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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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