Branch Identification in Passive Optical Networks using Machine Learning
Journal of Optical Communications and Networking（2023）
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
MoreTranslated text
Key words
Passive optical networks,Optical network units,Monitoring,Optical sensors,Optical transmitters,Fault diagnosis,Computer architecture
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined