@article {9851417,
	title = {ML-Based Radio Resource Management in 5G and Beyond Networks: A Survey},
	journal = {IEEE Access},
	volume = {10},
	year = {2022},
	pages = {83507-83528},
	keywords = {5G, 5G mobile communication, B5G, deep learning, machine learning, MIMO communication, mobile edge computing, NOMA, Quality of service, radio resource management, Resource management, Wireless networks},
	doi = {10.1109/ACCESS.2022.3196657},
	author = {Bartsiokas, Ioannis A. and Gkonis, Panagiotis K. and Kaklamani, Dimitra I. and Venieris, Iakovos S.}
}
