Policy Optimization of the Power Allocation Algorithm Based on the Actor–Critic Framework in Small Cell Networks

Policy Optimization of the Power Allocation Algorithm Based on the Actor–Critic Framework in Small Cell Networks

A practical solution to the power allocation problem in ultra-dense small cell networks can be achieved by using deep reinforcement learning (DRL) methods. Unlike traditional algorithms, DRL methods are capable of achieving low latency and operating without the need for global real-time channel stat...

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Bibliographic Details
Main Authors: Haibo Chen, Zhongwei Huang, Xiaorong Zhao, Xiao Liu, Youjun Jiang, Pinyong Geng, Guang Yang, Yewen Cao, Deqiang Wang
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Mathematics
Subjects:
power allocation
deep reinforcement learning
actor–critic
Online Access:https://www.mdpi.com/2227-7390/11/7/1702

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