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
Published in:	Electronics (Basel) Vol. 11; no. 20; p. 3385
Main Authors:	Qi, Qi, Lin, Wenbin, Guo, Boyang, Chen, Jinshan, Deng, Chaoping, Lin, Guodong, Sun, Xin, Chen, Youjia
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.10.2022
Subjects:	Algorithms Bandwidths Computer networks Constraints Decision making Factories Genetic algorithms Information networks Lagrange multiplier Learning Methods Mixed integer Multiplexing Network slicing Neural networks Nonlinear programming Optimization Problem solving Reinforcement learning (Machine learning) Resource allocation Wireless networks China
ISSN:	2079-9292, 2079-9292
Online Access:	Get full text
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