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基于深度学习的低轨卫星互联网建设研究

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为提升卫星通信的效率和质量,该文聚焦低轨卫星互联网,运用深度学习理论,创新性地提出一种低轨卫星网络算法。通过明确系统运行问题,构建多智能体算法系统,以优化低轨卫星互联网建设,满足高质量通信需求,为卫星通信行业发展提供新思路与经验借鉴。
Application Research on Low-Orbit Satellite Internet Construction Based on Deep Learning
To enhance the efficiency and quality of satellite communications,this paper focuses on low-orbit satellite internet and innovatively proposes a low-orbit satellite network algorithm using deep learning theory.By identifying system operational issues and constructing a multi-agent algorithm system,we aim to optimize the construction of low-orbit satellite internet to meet high-quality communication demands,providing new insights and experiences for the development of the satellite communication industry.

deep learningsatellite communicationlow-orbit satelliteInternet construction

郭向梁、魏川奇、张石

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中国信息通信研究院,北京 100191

蓝箭航天空间科技股份有限公司,北京 100176

深度学习 卫星通信 低轨卫星 互联网建设

2024

数字通信世界
电子工业出版社

数字通信世界

影响因子:0.162
ISSN:1672-7274
年,卷(期):2024.(12)