Energy-Efficient Power Allocation and User Association in Heterogeneous Networks with Deep Reinforcement Learning
This paper studies the problem of joint power allocation and user association in wireless heterogeneous networks (HetNets) with a deep reinforcement learning (DRL)-based approach. This is a challenging problem since the action space is hybrid, consisting of continuous actions (power allocation) and...
Main Authors: | Chi-Kai Hsieh, Kun-Lin Chan, Feng-Tsun Chien |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-04-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/11/9/4135 |
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