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Updated: May 25, 2025

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基于深度强化学习的低地轨道大星座卫星网络的路由方法,具有服务功能的限制

Yan Chen1,2,3,4, Huan Cao2,3,4, Longhe Wang2,3,4

  • 1University of Chinese Academy of Sciences, Beijing 100049, China.

Sensors (Basel, Switzerland)
|February 26, 2025
PubMed
概括

我们开发了GDRL-SFCR,这是一种用于低轨道卫星网络的新型路由方法. 它大大减少了传输延迟,并改善了网络负载平衡,同时满足了服务功能链的约束.

关键词:
美国低空卫星网络 (LEO) 卫星网络深度强化学习的学习.图形卷积网络的图形卷积网络.路由 路由 路由 路由 路由服务函数约束 服务函数约束

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