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Toward Intelligent Space-Air-Ground Integrated Network:Architecture,Challenges,and Emerging Directions

Lina Wang Mingrui Fan Ning Yang Xu Ma Yan Liang Haijun Zhang

通信与信息网络学报（英文）2025，Vol.10Issue(2)：87-102,16.

Toward Intelligent Space-Air-Ground Integrated Network:Architecture,Challenges,and Emerging Directions

Lina Wang ¹Mingrui Fan ¹Ning Yang ²Xu Ma ¹Yan Liang ¹Haijun Zhang¹

作者信息

1. School of Computer and Communication Engineering,University of Science and Technology Beijing,Beijing 100083,China
2. Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China
折叠

摘要

关键词

SAGIN/artificial intelligence/reinforce-ment learning/deep neural networks/large language mod-els

Key words

SAGIN/artificial intelligence/reinforce-ment learning/deep neural networks/large language mod-els

引用本文复制引用

Lina Wang,Mingrui Fan,Ning Yang,Xu Ma,Yan Liang,Haijun Zhang..Toward Intelligent Space-Air-Ground Integrated Network:Architecture,Challenges,and Emerging Directions[J].通信与信息网络学报（英文）,2025,10(2):87-102,16.

基金项目

This work is supported in part by the National Nat-ural Science Foundation of China under Grants 62225103,U22B2003,U2441227,and U24A20211,the Beijing Natural Science Foundation under Grant L241008,the Defense Industrial Technology Development Program JCKY2022110C010,the National Key Laboratory of Wireless Communi-cations Foundation under Grant IFN20230201,the Fundamental Research Funds for the Central Universities under Grant FRF-TP-22-002C2,and the Xiaomi Fund of Young Scholar. （）

通信与信息网络学报（英文）

ISSN：2096-1081

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