数字通信世界2024,Issue(12) :19-21.DOI:10.3969/J.ISSN.1672-7274.2024.12.007

基于深度学习的低轨卫星互联网建设研究

Application Research on Low-Orbit Satellite Internet Construction Based on Deep Learning

郭向梁 魏川奇 张石
数字通信世界2024,Issue(12) :19-21.DOI:10.3969/J.ISSN.1672-7274.2024.12.007

基于深度学习的低轨卫星互联网建设研究

Application Research on Low-Orbit Satellite Internet Construction Based on Deep Learning

郭向梁 1魏川奇 2张石1
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作者信息

  • 1. 中国信息通信研究院,北京 100191
  • 2. 蓝箭航天空间科技股份有限公司,北京 100176
  • 折叠

摘要

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.

Abstract

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.

关键词

深度学习/卫星通信/低轨卫星/互联网建设

Key words

deep learning/satellite communication/low-orbit satellite/Internet construction

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出版年

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
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