Autonomous Network Slicing Prototype Using Machine-Learning-Based Forecasting for Radio Resources

With the emergence of virtualization and software automation for mobile networks, network slicing is enabling operators to dynamically provision network resources tuned to suit heterogeneous service requirements. This article investigates the architectures of the fifth generation (5G) of mobile netw...

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Veröffentlicht in:	IEEE communications magazine 2021-06, Vol.59 (6), p.73-79
Hauptverfasser:	Salhab, Nazih, Langar, Rami, Rahim, Rana, Cherrier, Sylvain, Outtagarts, Abdelkader
Format:	Magazinearticle
Sprache:	eng
Schlagworte:	5G mobile communication Computer architecture Computer Science Machine learning Network slicing Networking and Internet Architecture Performance measurement Prototypes Software engineering Throughput
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