Edge intelligence for space-air-ground integrated network:Challenges,solutions,and future directionsOA
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
School of Electronic Information Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,ChinaSchool of Electronic Information Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,ChinaDepartment of Computing,Hong Kong Polytechnic University,Hong Kong 999077,China||College of Electronic Engineering,National University of Defense Technology,Hefei 230009,ChinaThe Academy of Military Science,Beijing 100091,ChinaSchool of Electronic Information Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,ChinaSchool of Electronic Information Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China
Edge cachingEdge inferenceEdge offloadingEdge trainingSpace-air-ground integrated network
Edge cachingEdge inferenceEdge offloadingEdge trainingSpace-air-ground integrated network
《中国航空学报（英文版）》 2026 (8)
312-332,21
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).
评论