Intent-aware Radio Resource Scheduling in a RAN Slicing Scenario using Reinforcement Learning

Network slicing at the radio access network (RAN) domain, called RAN slicing, requires elasticity, efficient resource sharing, and customization. In this scenario, radio resource scheduling (RRS) is responsible for dealing with scarce and limited frequency spectrum resources available at the RAN dom...

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Veröffentlicht in:	IEEE transactions on wireless communications 2024-03, Vol.23 (3), p.1-1
Hauptverfasser:	Nahum, Cleverson V., Lopes, Victor Hugo, Dreifuerst, Ryan M., Batista, Pedro, Correa, Ilan, Cardoso, Kleber V., Klautau, Aldebaro, Heath, Robert W.
Format:	Artikel
Sprache:	eng
Schlagworte:	5G mobile communication Frequency spectrum intent-aware scheduling Measurement Quality of service Radio Radio access networks Radio resource scheduling RAN slicing reinforcement learning Resource management Resource scheduling Ultra reliable low latency communication Wireless communication
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