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

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Exploring the Role of AI/ML in 6G Networks

Published: January 2025
Available here: AI/ML as a Key Enabler of 6G Networks: Methodology, Approach, and AI Mechanisms in the SNS JU

The Smart Networks and Services Joint Undertaking (SNS JU) Technology Board (TB) has released a groundbreaking white paper titled “AI/ML as a Key Enabler of 6G Networks: Methodology, Approach, and AI Mechanisms in the SNS JU”. This publication provides an in-depth analysis of the role Artificial Intelligence (AI) and Machine Learning (ML) play in shaping the future of 6G networks and highlights ongoing research efforts within the SNS JU ecosystem.

The white paper introduces the methodologies, AI-driven approaches, and specific AI/ML mechanisms being developed across SNS JU projects, offering a comprehensive overview of the AI-powered innovations that are shaping 6G’s evolution.

Key Insights from the White Paper

The paper provides a detailed overview of AI/ML solutions developed within SNS JU projects, their implementation, and their impact on network performance and efficiency. It categorizes AI solutions based on their intended goals, learning methods, network segments, characteristics of AI models, and the datasets used for training. The report also discusses the expected outcomes of these AI-driven mechanisms and their contributions to network optimization, security, and automation.

The SNS JU Technology Board aims for this white paper to enhance collaboration between AI and 6G researchers, promote European AI-powered solutions for next-generation networks, and encourage the adoption of AI methodologies in network design and optimization.

CENTRIC’s Contributions to the White Paper

The CENTRIC project played an active role in shaping this white paper, with contributions from several of its members, including:

Ramoni Adeogun (AAU)
Saeed Hakimi (AAU)
Septimia Sarbu (Oulu)
Alvaro Valcarce (Nokia)
Sebastian Cammerer (NVIDIA)
Ahmet Sedar Tan (Interdigital)
Alexander Chiskis (Sequans)
Carla Fabiana Chiasserni (CNIT)
Matteo Zecchin (KCL)
Aakash Saini (Nokia)

Their expertise has significantly contributed to advancing AI/ML research in 6G networking, reinforcing Europe’s leadership in next-generation communication technologies.

Looking Ahead: AI and the Future of 6G

AI and ML are set to transform how networks learn, adapt, and optimize performance in real time. As research progresses, collaborations like CENTRIC and the SNS JU initiative will be essential in pushing the boundaries of what is possible in the AI-driven 6G era. Stay tuned for further updates on AI-powered advancements in 6G.