Branch Identification in Passive Optical Networks using Machine Learning
- Resource Type
- Conference
- Authors
- Abdelli, Khouloud; Tropschug, Carsten; Grieser, Helmut; Jansen, Sander; Pachnicke, Stephan
- Source
- 2023 Optical Fiber Communications Conference and Exhibition (OFC) Optical Fiber Communications Conference and Exhibition (OFC), 2023. :1-3 Mar, 2023
- Subject
- Communication, Networking and Broadcast Technologies
Photonics and Electrooptics
Optical fibers
Location awareness
Machine learning
Reflection
Passive optical networks
Monitoring
- Language
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.