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

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...

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Autores principales:	Vasileios P. Rekkas, Sotirios Sotiroudis, Panagiotis Sarigiannidis, Shaohua Wan, George K. Karagiannidis, Sotirios K. Goudos
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	6G wireless communications artificial intelligence machine learning Electronics TK7800-8360
Acceso en línea:	https://doaj.org/article/b2f8e3564aae41a5a88ea8a00c8a9acc
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spelling	oai:doaj.org-article:b2f8e3564aae41a5a88ea8a00c8a9acc2021-11-25T17:24:38ZMachine Learning in Beyond 5G/6G Networks—State-of-the-Art and Future Trends10.3390/electronics102227862079-9292https://doaj.org/article/b2f8e3564aae41a5a88ea8a00c8a9acc2021-11-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/22/2786https://doaj.org/toc/2079-9292Artificial 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.Vasileios P. RekkasSotirios SotiroudisPanagiotis SarigiannidisShaohua WanGeorge K. KaragiannidisSotirios K. GoudosMDPI AGarticle6Gwireless communicationsartificial intelligencemachine learningElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2786, p 2786 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	6G wireless communications artificial intelligence machine learning Electronics TK7800-8360
spellingShingle	6G wireless communications artificial intelligence machine learning Electronics TK7800-8360 Vasileios P. Rekkas Sotirios Sotiroudis Panagiotis Sarigiannidis Shaohua Wan George K. Karagiannidis Sotirios K. Goudos Machine Learning in Beyond 5G/6G Networks—State-of-the-Art and Future Trends
description	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.
format	article
author	Vasileios P. Rekkas Sotirios Sotiroudis Panagiotis Sarigiannidis Shaohua Wan George K. Karagiannidis Sotirios K. Goudos
author_facet	Vasileios P. Rekkas Sotirios Sotiroudis Panagiotis Sarigiannidis Shaohua Wan George K. Karagiannidis Sotirios K. Goudos
author_sort	Vasileios P. Rekkas
title	Machine Learning in Beyond 5G/6G Networks—State-of-the-Art and Future Trends
title_short	Machine Learning in Beyond 5G/6G Networks—State-of-the-Art and Future Trends
title_full	Machine Learning in Beyond 5G/6G Networks—State-of-the-Art and Future Trends
title_fullStr	Machine Learning in Beyond 5G/6G Networks—State-of-the-Art and Future Trends
title_full_unstemmed	Machine Learning in Beyond 5G/6G Networks—State-of-the-Art and Future Trends
title_sort	machine learning in beyond 5g/6g networks—state-of-the-art and future trends
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/b2f8e3564aae41a5a88ea8a00c8a9acc
work_keys_str_mv	AT vasileiosprekkas machinelearninginbeyond5g6gnetworksstateoftheartandfuturetrends AT sotiriossotiroudis machinelearninginbeyond5g6gnetworksstateoftheartandfuturetrends AT panagiotissarigiannidis machinelearninginbeyond5g6gnetworksstateoftheartandfuturetrends AT shaohuawan machinelearninginbeyond5g6gnetworksstateoftheartandfuturetrends AT georgekkaragiannidis machinelearninginbeyond5g6gnetworksstateoftheartandfuturetrends AT sotirioskgoudos machinelearninginbeyond5g6gnetworksstateoftheartandfuturetrends
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Machine Learning in Beyond 5G/6G Networks—State-of-the-Art and Future Trends

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