Applications of Machine Learning in Resource Management for RAN-Slicing in 5G and Beyond Networks: A Survey

One of the key foundations of 5th Generation (5G) and beyond 5G (B5G) networks is network slicing, in which the network is partitioned into several separated logical networks, taking into account the requirements of diverse applications. In this context, resource management is of great importance to...

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Veröffentlicht in:	IEEE access 2022, Vol.10, p.106581-106612
Hauptverfasser:	Azimi, Yaser, Yousefi, Saleh, Kalbkhani, Hashem, Kunz, Thomas
Format:	Artikel
Sprache:	eng
Schlagworte:	5G/B5G Algorithms Costs Deep learning Hardware Machine learning Network slicing Networks Optimization Quality of service Radio access networks RAN slicing reinforcement learning Resource management Ultra reliable low latency communication
Online-Zugang:	Volltext
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