AI/ML as a Key Enabler of 6G Networks Methodology, Approach and AI-Mechanisms in SNS JU

Open Access
Authors
  • Smart Networks and Services Joint Undertaking Technology Board
  • K. Trichias
  • M. Christopoulou
  • P. Porambage
Publication date 01-2025
Number of pages 51
Publisher 6GSNS
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract
The Smart Networks and Services Joint Undertaking (SNS JU) is spearheading Europe’s efforts to establish global leadership in 6G telecommunications. Under the Horizon Europe program, SNS JU has initiated numerous projects integrating Artificial Intelligence (AI) and Machine Learning (ML) as foundational components of future networks. These AI/ML solutions address critical 6G objectives, such as enhanced performance, energy efficiency, and advanced security, reflecting a comprehensive and collaborative approach to innovation in telecommunications.
The SNS JU Technology Board (TB), the collaborative body of the leading technical experts of all ongoing R&I projects, has performed a survey across 33 R&I projects from the first two phases (Call 1 and Call 2) of the SNS JU, that are engaging in the development of AI-based solutions, to better understand the approach, methodologies and models used by AI experimenters, as well as to generate insights regarding the network layers that AI mechanisms are applied to, the data sets used for training, the goal of the developed mechanisms and more.
Document type Report
Language English
Published at
https://doi.org/10.5281/zenodo.14623109 (Final published version)
Published at
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AI ML as a Key Enabler of 6G Networks (Final published version)
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