AI技术在卫星通信/互联网领域的应用综述

刘雅琼; 吕哲; 赵亚飞; 寿国础

doi:10.11959/j.issn.1000-0801.2023030

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AI技术在卫星通信/互联网领域的应用综述

专题：6G空间互联网 | 更新时间：2024-06-05

- AI技术在卫星通信/互联网领域的应用综述
- A survey on AI techniques applied in the satellite communication/satellite Internet field
- 电信科学 2023年39卷第2期页码：10-24
- 作者机构：
  
  1. 先进信息网络北京实验室，北京 100876
  2. 网络体系构建与融合北京市重点实验室，北京 100876
  3. 北京邮电大学信息与通信工程学院，北京 100876
- 作者简介：
  
  [ "刘雅琼（1988- ），女，博士，北京邮电大学信息与通信工程学院副教授，主要研究方向为边缘智能、车联网、卫星通信" ]
  [ "吕哲（2000- ），女，北京邮电大学硕士生，主要研究方向为知识图谱、网络运维和边缘智能" ]
  [ "赵亚飞（1987- ），男，博士，北京邮电大学信息与通信工程学院特聘副研究员，主要研究方向为低轨卫星通信导航一体化" ]
  [ "寿国础（1965- ），男，博士，北京邮电大学信息与通信工程学院教授，主要研究方向为接入网络与边缘计算、光纤与无线网络虚拟化、网络构建与路由、移动互联网与应用等" ]
- 基金信息：
  
  北京市科技计划项目;Beijing Municipal Science and Technology Project(Z221100007722012)
- DOI：10.11959/j.issn.1000-0801.2023030
  中图分类号： TN927
- 网络出版日期：2023-02，
  
  纸质出版日期：2023-02-20
- 稿件说明：
移动端阅览
刘雅琼, 吕哲, 赵亚飞, 等. AI技术在卫星通信/互联网领域的应用综述[J]. 电信科学, 2023,39(2):10-24.

Yaqiong LIU, Zhe LYU, Yafei ZHAO, et al. A survey on AI techniques applied in the satellite communication/satellite Internet field[J]. Telecommunications science, 2023, 39(2): 10-24.
刘雅琼, 吕哲, 赵亚飞, 等. AI技术在卫星通信/互联网领域的应用综述[J]. 电信科学, 2023,39(2):10-24. DOI： 10.11959/j.issn.1000-0801.2023030.

Yaqiong LIU, Zhe LYU, Yafei ZHAO, et al. A survey on AI techniques applied in the satellite communication/satellite Internet field[J]. Telecommunications science, 2023, 39(2): 10-24. DOI： 10.11959/j.issn.1000-0801.2023030.

摘要

卫星互联网的诞生带来新的发展机遇，同时也具备诸多挑战。主要调研了在空天地一体化的背景下，人工智能（AI）技术作为重要的辅助工具在卫星通信/卫星互联网领域的应用，涉及通信抗干扰、通信路由、星地网络系统架构、星座运营与管理等场景，其中涉及的AI算法包括传统机器学习、深度学习、强化学习等；最后，针对 AI 技术在卫星通信/互联网领域的发展趋势，提出了未来的研究方向，为我国卫星领域的智能化发展提供了思路和技术方案。

Abstract

The birth of satellite Internet brings new development opportunities

but also many challenges.How artificial intelligence

as an important auxiliary tool

was widely used in the field of satellite communication/satellite Internet in the context of the development of space-air-ground integration

was investigated

which involved communication anti-jamming

communication routing

satellite-terrestrial network system architecture

constellation operation and management and other scenarios.The AI algorithms included traditional machine learning

deep learning

reinforcement learning and so on.Finally

by taking the development trend of the AI applied in the satellite field into consideration

several future research directions were put forward

which provided new ideas and technical solutions for the intelligent development of satellite field in our country.

关键词

Keywords

references

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