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Edge intelligence for space-air-ground integrated network:Challenges,solutions,and future directions

Haonan CHEN Yuben QU Tao WU Jianchao ZHENG Chao DONG Qihui WU

中国航空学报（英文版）2026，Vol.39Issue(8)：312-332,21.

中国航空学报（英文版）2026，Vol.39Issue(8)：312-332,21.DOI:10.1016/j.cja.2025.103969

Edge intelligence for space-air-ground integrated network:Challenges,solutions,and future directions

Haonan CHEN ¹Yuben QU ¹Tao WU ²Jianchao ZHENG ³Chao DONG ¹Qihui WU¹

作者信息

1. School of Electronic Information Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China
2. Department of Computing,Hong Kong Polytechnic University,Hong Kong 999077,China||College of Electronic Engineering,National University of Defense Technology,Hefei 230009,China
3. The Academy of Military Science,Beijing 100091,China
折叠

摘要

关键词

Edge caching/Edge inference/Edge offloading/Edge training/Space-air-ground integrated network

Key words

Edge caching/Edge inference/Edge offloading/Edge training/Space-air-ground integrated network

引用本文复制引用

Haonan CHEN,Yuben QU,Tao WU,Jianchao ZHENG,Chao DONG,Qihui WU..Edge intelligence for space-air-ground integrated network:Challenges,solutions,and future directions[J].中国航空学报（英文版）,2026,39(8):312-332,21.

基金项目

This work was supported by the National Natural Science Foundation of China(Nos.62427801,62431014 and 62171454),and Stable Support for Fundamental Research Project in GF Characteristic Disciplines,China(No.ILF240071A24). （Nos.62427801,62431014 and 62171454）

中国航空学报（英文版）

ISSN：1000-9361

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