Two Tier Slicing Resource Allocation Algorithm Based on Deep Reinforcement Learning and Joint Bidding in Wireless Access Networks

Network slicing (NS) is an emerging technology in recent years, which enables network operators to slice network resources (e.g., bandwidth, power, spectrum, etc.) in different types of slices, so that it can adapt to different application scenarios of 5 g network: enhanced mobile broadband (eMBB),...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 22; H. 9; S. 3495
Hauptverfasser:	Chen, Geng, Zhang, Xu, Shen, Fei, Zeng, Qingtian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 04.05.2022 MDPI
Schlagworte:	Access control Algorithms Bandwidths bidding Broadband transmission Communication deep reinforcement learning Game theory Infrastructure Linear programming Machine learning network slicing (NS) Optimization resource allocation Services Wireless communication systems Wireless networks Wireless telecommunications equipment network slicing (NS) resource allocation deep reinforcement learning bidding
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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