中文版 | English
Title

Learning to Hybrid Offload in Space-Air-Ground Integrated Mobile Edge Computing for IoT Networks

Author
DOI
Publication Years
2023
ISSN
2379-7711
ISBN
979-8-3503-1520-2
Source Title
Pages
836-841
Conference Date
11-14 July 2023
Conference Place
Qinhuangdao, China
Keywords
SUSTech Authorship
Others
URL[Source Record]
Data Source
IEEE
PDF urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10256477
Citation statistics
Document TypeConference paper
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/582705
Affiliation
1.Guangdong Provincial Key Laboratory of Future Networks of Intelligence, School of Science and Engineering (SSE), the Future Network of Intelligence Institute (FNii), the Chinese University of Hong Kong, Shenzhen Institute of Advanced Technology (SlAT), Chinese Academy of Sciences, Shenzhen, China
2.SIAT, Chinese Academy of Sciences, Southern University of Science and Technology (SUSTech), Shenzhen, China
3.SSE, the FNii, and the Guangdong Provincial Key Laboratory of Future Networks of Intelligence, the Chinese University of Hong Kong, Shenzhen, China
4.SUSTech, Shenzhen, China
5.SIAT, Chinese Academy of Sciences, Shenzhen, China
6.School of Information and Electrical Engineering, Hebei University of Engineering, Handan, China
Recommended Citation
GB/T 7714
Xuhui Zhang,Wenchao Liu,Huijun Xing,et al. Learning to Hybrid Offload in Space-Air-Ground Integrated Mobile Edge Computing for IoT Networks[C],2023:836-841.
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