Optical Network Automation, Programmability, and AI: the Path to 6G Readiness
Paper i 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.

Artificial intelligence

6G

Machine learning

Software-defined networking

Författare

Carlos Natalino Da Silva

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

Paolo Monti

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

2025 International Conference on Machine Learning for Communication and Networking, ICMLCN 2025

IEEE International Conference on Machine Learning for Communication and Networking
Bacelona, Spain,

Efficient Confluent Edge Networks (ECO-eNET)

Europeiska kommissionen (EU) (EC/HE/101139133), 2024-01-01 -- 2028-12-31.

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier (SSIF 2025)

Kommunikationssystem

Telekommunikation

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2025-05-11