Augmented Lagrangian-Based Reinforcement Learning for Network Slicing in IIoT

Augmented Lagrangian-Based Reinforcement Learning for Network Slicing in IIoT

Network slicing enables the multiplexing of independent logical networks on the same physical network infrastructure to provide different network services for different applications. The resource allocation problem involved in network slicing is typically a decision-making problem, falling within th...

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Bibliographic Details
Main Authors: Qi Qi, Wenbin Lin, Boyang Guo, Jinshan Chen, Chaoping Deng, Guodong Lin, Xin Sun, Youjia Chen
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Electronics
Subjects:
network slicing
augmented Lagrangian
reinforcement learning
hybrid action space
soft actor–critic (SAC)
Online Access:https://www.mdpi.com/2079-9292/11/20/3385

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https://www.mdpi.com/2079-9292/11/20/3385

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