Paper ID: 2304.00285

Branch Identification in Passive Optical Networks using Machine Learning

khouloud Abdelli, Carsten Tropschug, Helmut Griesser, Sander Jansen, Stephan Pachnicke

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

Submitted: Apr 1, 2023