An End-to-End Network Slicing Algorithm Based on Deep Q-Learning for 5G Network

An End-to-End Network Slicing Algorithm Based on Deep Q-Learning for 5G Network

As one of key technologies of the fifth-generation (5G) communication system, network slicing can share the underlying infrastructure with different application requirements and ensure that the slices can be isolated from each other. This paper proposes an end-to-end (E2E) network slicing resource a...

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Bibliographic Details
Main Authors: Taihui Li, Xiaorong Zhu, Xu Liu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
5G network
network slicing
resource allocation
deep Q-networks
Online Access:https://ieeexplore.ieee.org/document/9131779/

Internet

https://ieeexplore.ieee.org/document/9131779/

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