Optical Network Automation, Programmability, and AI: The Path to 6G Readiness
Paper in proceeding, 2025
The 6G vision predicts a massive increase in connected devices and a greater use of local and distributed intelligence. To support this shift, networks, particularly optical ones, must become more dynamic and flexible. Introducing packet-optical programmable devices will require redesigning control and management functions to leverage artificial intelligence & machine learning (AI/ML) capabilities. This paper explores how network automation and programmability in the optical segment are essential to meet 6G requirements, the latest developments, and the key challenges ahead.
6G
Software-Defined Networking
Machine Learning
Artificial Intelligence
Author
Carlos Natalino Da Silva
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Paolo Monti
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
2025 IEEE International Conference on Machine Learning for Communication and Networking Icmlcn 2025
9798331520427 (ISBN)
2nd IEEE International Conference on Machine Learning for Communication and Networking, ICMLCN 2025
Barcelona, Spain,
Barcelona, Spain,
Efficient Confluent Edge Networks (ECO-eNET)
European Commission (EC) (EC/HE/101139133), 2024-01-01 -- 2028-12-31.
Subject Categories (SSIF 2025)
Communication Systems
DOI
10.1109/ICMLCN64995.2025.11140431