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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Bibliographic Details
Main Authors:	Chen, G. (Author), Shen, F. (Author), Zeng, Q. (Author), Zhang, X. (Author)
Format:	Article
Language:	English
Published:	MDPI 2022
Subjects:	5G mobile communication systems Ant colony optimization Bandwidth Base stations bidding Bidding Deep learning deep reinforcement learning Iterative methods Learning algorithms Mobile virtual network operator Network resource Network slicing network slicing (NS) Radio access networks Reinforcement learning resource allocation Resource allocation Resource allocation algorithms Resource allocation problem Resources allocation Two tiers Wireless access networks Wireless networks
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Two Tier Slicing Resource Allocation Algorithm Based on Deep Reinforcement Learning and Joint Bidding in Wireless Access Networks

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