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

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
Online Access:View Fulltext in Publisher

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