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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Vydáno v:	Sensors (Basel, Switzerland) Ročník 22; číslo 9; s. 3495
Hlavní autoři:	Chen, Geng, Zhang, Xu, Shen, Fei, Zeng, Qingtian
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI AG 04.05.2022 MDPI
Témata:	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
On-line přístup:	Získat plný text
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