Interference Identification in Multi-User Optical Spectrum as a Service using Convolutional Neural Networks
Conference: ECOC 2024 - 50th European Conference on Optical Communication
09/22/2024 - 09/26/2024 at Frankfurt, Germany
Proceedings: ITG-Fb. 317: ECOC 2024
Pages: 4Language: englishTyp: PDF
Authors:
Raj, Agastya; Wang, Zehao; Slyne, Frank; Chen, Tingjun; Kilper, Dan; Ruffini, Marco
Abstract:
We introduce a ML-based architecture for network operators to detect impairments from specific OSaaS users while blind to the users’ internal spectrum details. Experimental studies with three OSaaS users demonstrate the model’s capability to accurately classify the source of impairments, achieving classification accuracy of 94.2%.