International Conference on Future and Intelligent Networking (FINE 2026)

Aug 26-28, 2026 · Osaka, Japan.

http://www.ieee-fine.org/2026/

Track 4: AI for Network Design, Control, and Operations Track

Track Chairs:
Rodolfo Coutinho, Concordia University, Canada rodolfo.coutinho@concordia.ca
Alessio Sacco, Politecnico di Torino, Italy alessio_sacco@polito.it
Jérémie Leguay, Nokia Bell Labs, France jeremie.leguay@nokia-bell-labs.com

Description

Artificial Intelligence (AI) and Machine Learning (ML) are increasingly central to the design, control, and operation of next-generation networks. Learning-driven approaches are being applied to, for example, channel estimation, beamforming and modulation, dynamic spectrum access, intelligent scheduling and traffic prioritization, adaptive routing, network slicing, and resource management. This track solicits original research contributions on the application of AI/ML to network design, control, management, and autonomous operation in dynamic and large-scale networked systems. We particularly encourage submissions that demonstrate principled methodologies, system-level integration, real-world deployment experiences, or rigorous experimental evaluation.

Track Topics

• AI for network physical layer
• AI-based service scheduling
• AI-based resource management
• AI-based congestion control
• AI for intelligent routing
• AI for network slicing
• AI for network traffic prioritization
• Data-driven networking systems
• Self-driving networks

Paper Submission and Publication

Details of paper submission and publication can be found here.