Branch Identification in Passive Optical Networks using Machine Learning

2023/04/01 by Khouloud Abdelli, Carsten Tropschug, Abdelli, khouloud +7
Engineering · #Advanced Photonic Communication Systems #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Networking and Internet Architecture (cs.NI) #Optical Network Technologies #Photonic and Optical Devices #Signal Processing (eess.SP) #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.2304.00285

openalex publication_date 2023/04/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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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