Power Consumption Optimization Using Gradient Boosting Aided Deep Q-Network in C-RANs

Power Consumption Optimization Using Gradient Boosting Aided Deep Q-Network in C-RANs

Cloud Radio Access Networks (C-RANs) have the potential to enable growing data traffic in 5G networks. However, with the complex states, resource allocation in C-RANs is time-consuming and computational-expensive, making it challenging to meet the demands of energy efficiency and low latency in real...

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Bibliographic Details
Main Authors: Yifan Luo, Jiawei Yang, Wei Xu, Kezhi Wang, Marco Di Renzo
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Cloud radio access networks (C-RANs)
resource allocation
gradient boosting
reinforcement learning
deep Q-network (DQN)
ensemble learning
Online Access:https://ieeexplore.ieee.org/document/9026945/

Internet

https://ieeexplore.ieee.org/document/9026945/

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