We are pleased to announce a notable contribution presented at OFC 2024:
S. Shen, H. Li, A. Tyrovolas, Y. Teng, R. Nejabati, S. Yan, and D. Simeonidou,
“End-to-end QoT Predictions Enhanced by GNPy-based Digital Twin with Network Telemetry,” OFC 2024, paper Th2A.16.
🔗 Read the full paper: https://opg.optica.org/abstract.cfm?uri=OFC-2024-Th2A.16
Highlights:
- Developed a digital twin for dynamic optical networks, integrating GNPy with network telemetry and real-time databases.
- Enhances machine-learning-based QoT prediction, enabling effective pre-training with minimal training data.
- Validated model performance in field trials—demonstrating improved prediction accuracy and operational efficiency.
This work represents a significant stride in predictive intelligence and resilience for future optical network operations.