@conference{Rekkas2021,
title = {Unsupervised Machine Learning in 6G Networks -State-of-the-art and Future Trends},
author = { V.P. Rekkas and S. Sotiroudis and P. Sarigiannidis and G.K. Karagiannidis and S.K. Goudos},
doi = {10.1109/MOCAST52088.2021.9493388},
year = {2021},
date = {2021-01-01},
journal = {2021 10th International Conference on Modern Circuits and Systems Technologies, MOCAST 2021},
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. © 2021 IEEE.},
note = {cited By 0},
keywords = {6G, Artificial Intelligence, Sixth Generation, Unsupervised Machine Learning, Wireless Communications},
pubstate = {published},
tppubtype = {conference}
}
