Machine Learning in Beyond 5G/6G Networks—State-of-the-Art and Future Trends

Electronics

Panagiotis Sarigiannidis¹  Sotirios K. Goudos²  Sotirios Sotiroudis²  Vasileios P. Rekkas²  George K. Karagiannidis³  Shaohua Wan⁴ 

[1] Department of Informatics and Telecommunications Engineering, University of Western Macedonia, 501 00 Kozani, Greece;ELEDIA@AUTH, School of Physics, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece;School of Electrical and Computer Engineering, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece;School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China;

关键词: 6G;    wireless communications;    artificial intelligence;    machine learning;   

DOI  :  10.3390/electronics10222786

来源: DOAJ

【 摘 要 】

Artificial Intelligence (AI) and especially Machine Learning (ML) can play a very important role in realizing and optimizing 6G network applications. In this paper, we present a brief summary of ML methods, as well as an up-to-date review of ML approaches in 6G wireless communication systems. These methods include supervised, unsupervised and reinforcement techniques. Additionally, we discuss open issues in the field of ML for 6G networks and wireless communications in general, as well as some potential future trends to motivate further research into this area.

【 授权许可】

Unknown