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Artificial Intelligence for 6G Wireless Networks

Submission Deadline: 30 November 2025 View: 324 Submit to Special Issue

Guest Editors

Prof. Dr. Cheng-Chi Lee

Email: cclee@mail.fju.edu.tw

Affiliation: Department of Library and Information Science, Fu Jen Catholic University, New Taipei City 24205, Taiwan

Homepage:

Research Interests: Artificial Intelligence, wireless networks, network security, mobile communications, wireless computing, wireless communications

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Dr. Agbotiname Lucky Imoize

Email: aimoize@unilag.edu.ng

Affiliation: Department of Electrical and Electronics Engineering, University of Lagos, Akoka, Lagos 100213, Nigeria

Homepage:

Research Interests: wireless communications, wireless security systems, Artificial Intelligence

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Dr. Mohsin Murtaza

Email: mohsin.murtaza@rmit.edu.au

Affiliation: School of Engineering, Science Technology Engineering and Mathematics College, RMIT University, Melbourne, VIC 3001, Australia

Homepage:

Research Interests: Artificial Intelligence, wireless networks, cyber security, and autonomous vehicles

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Summary

Artificial Intelligence (AI) is a key enabler of the envisioned 6G wireless communication systems. AI can be deployed to address critical challenges, such as interference, latency, and path loss, in 6G wireless networks. When designing wireless systems, it is crucial to account for the imperfections of the wireless channel. In information-theoretic systems, noise and fading can be leveraged to conceal sensitive user data from potential eavesdroppers without requiring an additional secret key. However, designing such schemes can be cost-prohibitive and computationally expensive. Hence, there is a need for AI-based solutions in the design, implementation, and management of wireless networks.

This special issue focuses on new AI-based applications in the general framework of 6G. Specifically, the special issue aims to provide a forum for collecting the latest research findings and high-quality works on the novel applications of artificial intelligence in 6G wireless networks.

The topics are but not limited to the following:

· AI for energy efficiency optimization in 6G networks
· AI for high data rates in 6G wireless communications
· AI for advanced signal processing in 6G wireless networks.
· AI for optimal hardware design of 6G wireless systems.
· AI for training and testing wireless channel models in 6G
· AI-aided reconfigurable intelligent surfaces for 6G
· AI for cooperative communications in 6G networks.
· AI aiding device-to-device communications in 6G.
· AI for enhancing the security and privacy of 6G networks.
· AI for achieving quality of physical experience in 6G
· AI enabling performance evaluation of 6G wireless systems
· AI for interference management in 6G wireless systems
· AI for dynamic spectrum allocation and management in 6G
· AI empowering massive MIMO systems design for 6G
· AI for formulating regulatory policies and standards for 6G.
· AI for green and sustainable communications in 6G
· AI enabling high-performance audio-visual systems in 6G
· AI for autonomous vehicle communications in 6G.


Keywords

Artificial Intelligence, wireless communications, energy efficiency, spectral efficiency, network optimization, channel estimation, Reconfigurable Intelligent Surfaces, data rates, ultra-low latency, reliability, Wireless Security Systems, Mobile Computing

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