Large-scale post-disaster user distributed coverage optimization based on multi-agent reinforcement learning

In order to quickly restore emergency communication services for large-scale post-disaster users, a distributed intellicise coverage optimization architecture based on multi-agent reinforcement learning (RL) was proposed, which could address the significant differences and dynamics of communication...

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Bibliographic Details
Main Authors: Wenjun XU, Silei WU, Fengyu WANG, Lan LIN, Guojun LI, Zhi ZHANG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2022-08-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022131/
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