Dynamic task scheduling method for relay satellite networks based on hierarchical reinforcement learning

In recent years, with the increasing number of various emergency tasks, how to control the impact on common tasks while ensuring system revenue has become a huge challenge for the dynamic scheduling of relay satellite networks.Aiming at this problem, with the goal of maximizing the total revenue of...

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Detalhes bibliográficos

Principais autores:	Runzi LIU, Tianci MA, Weihua WU, Chenhong YAO, Qinghai YANG
Formato:	Artigo
Idioma:	Chinês
Publicado em:	Editorial Department of Journal on Communications 2023-07-01
coleção:	Tongxin xuebao
Assuntos:	relay satellite networks;task scheduling;deep reinforcement learning;multi-objective optimization;dynamic scheduling
Acesso em linha:	http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2023130
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