A Turbo Q-Learning (TQL) for Energy Efficiency Optimization in Heterogeneous Networks

A Turbo Q-Learning (TQL) for Energy Efficiency Optimization in Heterogeneous Networks

In order to maximize energy efficiency in heterogeneous networks (HetNets), a turbo Q-Learning (TQL) combined with multistage decision process and tabular Q-Learning is proposed to optimize the resource configuration. For the large dimensions of action space, the problem of energy efficiency optimiz...

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Bibliographic Details
Main Authors: Xiumin Wang, Lei Li, Jun Li, Zhengquan Li
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Entropy
Subjects:
energy efficiency
HetNets
eICIC
Q-Learning
reinforcement learning
multistage decision process
Online Access:https://www.mdpi.com/1099-4300/22/9/957

Internet

https://www.mdpi.com/1099-4300/22/9/957

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