Energy-efficient power control strategy of the delay tolerable service based on the reinforcement learning

In recent years, the rapid development of Internet technology and its applications has led to an exponential growth in the number of Internet users and wireless terminal devices, resulting in a corresponding increase in energy consumption. This has necessitated the need to reduce energy consumption...

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Bibliographic Details

Published in:	Computer communications Vol. 210; pp. 102 - 115
Main Authors:	Bai, Mengmeng, Zhu, Rui, Guo, Jianxin, Wang, Feng, Zhu, Hangjie, Zhang, Yushuai
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.10.2023
Subjects:	Approximate statistical dynamic programming Deep deterministic policy gradient Deep Q network Deep reinforcement learning Energy efficiency Outage probability Proximal policy optimization Deep Q network Deep deterministic policy gradient Deep reinforcement learning Proximal policy optimization Energy efficiency Approximate statistical dynamic programming Outage probability
ISSN:	0140-3664, 1873-703X
Online Access:	Get full text
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