Toward AI in 6G: Concepts, Techniques, and Standards

The rapid evolution of cellular networks, driven by the proliferation of mobile devices and the exponential growth of the Internet of Things (IoT), has significantly advanced wireless communication technologies. Fifth generation of wireless communications technology (5G) enhanced data rates, latency, and network capacity, resulting in the emergence of new applications. However, the sixth generation (6G) is foreseen to support a new set of use cases with diverse requirements. This paper explores the critical role of artificial intelligence (AI) in shaping the trajectory from 5G to 6G. We discuss AI applications in 5G for network planning, resource allocation, traffic management, and security, as well as propose infrastructure upgrades, like edge servers and enhanced network topologies, to support AI in 6G. Additionally, we outline a visionary perspective on AI’s potential contributions to 6G, highlighting its role in enabling innovative services and applications. By providing this forward-looking perspective, this paper aims to stimulate discussion and guide the development of intelligent and autonomous 6G networks.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3595752
Citations
3
Primary Topic
Advanced Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
2.19

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Toward AI in 6G: Concepts, Techniques, and Standards

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Advanced Wireless Communication Technologies
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Toward AI in 6G: Concepts, Techniques, and Standards

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article en
3 citations

Abstract

The rapid evolution of cellular networks, driven by the proliferation of mobile devices and the exponential growth of the Internet of Things (IoT), has significantly advanced wireless communication technologies. Fifth generation of wireless communications technology (5G) enhanced data rates, latency, and network capacity, resulting in the emergence of new applications. However, the sixth generation (6G) is foreseen to support a new set of use cases with diverse requirements. This paper explores the critical role of artificial intelligence (AI) in shaping the trajectory from 5G to 6G. We discuss AI applications in 5G for network planning, resource allocation, traffic management, and security, as well as propose infrastructure upgrades, like edge servers and enhanced network topologies, to support AI in 6G. Additionally, we outline a visionary perspective on AI’s potential contributions to 6G, highlighting its role in enabling innovative services and applications. By providing this forward-looking perspective, this paper aims to stimulate discussion and guide the development of intelligent and autonomous 6G networks.

IEEE AccessVol. 13
Ericsson (Sweden) (SE), Siemens (Germany) (DE), University of Kaiserslautern (DE), University of Bremen (DE), Friedrich-Alexander-Universität Erlangen-Nürnberg (DE), TU Dortmund University (DE), Vodafone (Germany) (DE), Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute (DE), Center for Advancing Health (US), Ericsson (Germany) (DE), Bochumer Institut für Technologie (Germany) (DE), Nokia (Germany) (DE), Technische Universität Berlin (DE), University of Applied Sciences Kaiserslautern (DE), Vodafone (United Kingdom) (GB), Technische Universität Dresden (DE), Technische Universität Braunschweig (DE)
Bundesministerium für Bildung und Forschung
Openalex Percentile: Top 11%
Advanced Wireless Communication Technologies
2.19
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