We are pleased to present a notable invited tutorial from OFC 2024:
Óscar González de Dios, P. Armingol-Robles, L. Roelens, A. Muñiz-Da-Costa, and J. P. Fernández-Palacios
“AI-based Automation of Multi-Layer Multi-Domain Transport Networks”, OFC 2024, Tutorial W4I.2.
Read the tutorial: https://doi.org/10.1364/OFC.2024.W4I.2 Light Reading+7Optica Publishing Group+7ResearchGate+7
Tutorial Highlights:
- Presents a comprehensive AI-driven control architecture for enabling end-to-end automated network slicing in complex, multi-layer and multi-domain transport systems.
- Covers applied AI use cases: traffic forecasting, QoT prediction, anomaly detection, proactive failure handling, and network planning.
- Features a modern SDN-based design using open APIs and incorporating multi-layer network slicing for real-time, autonomous network operations.
This tutorial exemplifies the Allegro EU Project’s leadership in harnessing AI to enable intelligent autonomy in future transport networks.