
Towards AI in 6G: Concepts, Techniques, and Standards
Author(s) -
Sina Shafaei,
Alex Palaios,
Zied Ennaceur,
Jiajing Zhang,
Vedhas Pandit,
Pramesh Gautam,
Afsaneh Gharouni,
Borislava Gajic,
Bitan Banerjee,
Sachinkumar B. Mallikarjun,
Mohammad Asif Habibi,
Phuong Bich Duong,
Simone Mangiante,
Muhammad Qurratulain Khan,
Mohammad Parvini,
Philipp Schulz,
Faizan Rauf,
Norman Franchi,
Renato L. G. Cavalcante,
Jochen Fink,
Philipp Reitz,
Maximilian Lubke,
Torsten Reissland,
Ali El Husseini,
Reem Karaki,
Zahra Seifaei,
Marco Danger,
Carsten Bockelmann,
Arne Broring,
Guenter Klas,
Slawomir Stanczak,
Hans D. Schotten,
Gerhard P. Fettweis,
Admela Jukan,
Giang T. Nguyen,
Rafael F. Schaefer,
Ralf Irmer,
Christian Wietfeld,
Armin Dekorsy
Publication year - 2025
Publication title -
ieee access
Language(s) - English
Resource type - Magazines
SCImago Journal Rank - 0.587
H-Index - 127
eISSN - 2169-3536
DOI - 10.1109/access.2025.3595752
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
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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