Unsupervised Machine Learning in 6G Networks -State-of-the-art and Future Trends

Vasileios P Rekkas,Sotirios Sotiroudis,George K Karagiannidis,Panagiotis Sarigiannidis,Sotirios K Goudos

doi:10.1109/mocast52088.2021.9493388

Unsupervised Machine Learning in 6G Networks -State-of-the-art and Future Trends

Vasileios P Rekkas, Sotirios Sotiroudis + Show 3 more

https://doi.org/10.1109/mocast52088.2021.9493388

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Publication Date: Jul 5, 2021

Citations: 12

Affiliation: Aristotle University of Thessaloniki, University of Western Macedonia

#Unsupervised Machine Learning Techniques #6G Networks + Show 8 more

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Abstract

Wireless communication systems play a very crucial role for business, commercial, health and safety applications. With the commercial deployment of fifth generation (5G), academic and industrial research focuses on the sixth generation (6G) of wireless communication systems. Artificial Intelligence (AI) and especially Machine Learning (ML), will be a key component of 6G systems. Here, we present an up-to-date review of future 6G wireless systems and the role of unsupervised ML techniques in them.

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