Artificial Intelligence in 6G Wireless Networks: Opportunities, Applications, and Challenges

Author:

Alhammadi Abdulraqeb1ORCID,Shayea Ibraheem2ORCID,El-Saleh Ayman A.3ORCID,Azmi Marwan Hadri4ORCID,Ismail Zool Hilmi1ORCID,Kouhalvandi Lida5ORCID,Saad Sawan Ali6ORCID

Affiliation:

1. Center for Artificial Intelligence and Robotics (CAIRO), Malaysia-Japan International Institute of Technology, Universiti Teknologi Malaysia, Kuala Lumpur 54100, Malaysia

2. Electronics and Communication Engineering Department, Faculty of Electrical and Electronics Engineering, Istanbul Technical University (ITU), Istanbul 34467, Türkiye

3. Department of Electronics and Communication Engineering, College of Engineering, A’Sharqiyah University (ASU), Ibra 400, Oman

4. Wireless Communication Centre, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia

5. Department of Electrical and Electronics Engineering, Dogus University, Istanbul, Türkiye

6. Department of Computer Engineering, University of Ha’il, Ha’il 55211, Saudi Arabia

Abstract

Wireless technologies are growing unprecedentedly with the advent and increasing popularity of wireless services worldwide. With the advancement in technology, profound techniques can potentially improve the performance of wireless networks. Besides, the advancement of artificial intelligence (AI) enables systems to make intelligent decisions, automation, data analysis, insights, predictive capabilities, learning, and adaptation. A sophisticated AI will be required for next-generation wireless networks to automate information delivery between smart applications simultaneously. AI technologies, such as machines and deep learning techniques, have attained tremendous success in many applications in recent years. Hances, researchers in academia and industry have turned their attention to the advanced development of AI-enabled wireless networks. This paper comprehensively surveys AI technologies for different wireless networks with various applications. Moreover, we present various AI-enabled applications that exploit the power of AI to enable the desired evolution of wireless networks. Besides, the challenges of unsolved research in this area, which represent the future research trends of AI-enabled wireless networks, are discussed in detail. We provide several suggestions and solutions that help wireless networks be more intelligent and sophisticated to handle complicated problems. In summary, this paper can help researchers deeply understand the up-to-the-minute wireless network designs based on AI technologies and identify interesting unsolved issues to be pursued in their research in a fast way.

Funder

Universiti Teknologi Malaysia

Publisher

Hindawi Limited

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