中文版 | English
Title

Deep CLSTM for Predictive Beamforming in Integrated Sensing and Communication-Enabled Vehicular Networks

Author
Publication Years
2022-09
DOI
Source Title
ISSN
2509-3312
Volume7Issue:3Pages:269-277
Keywords
URL[Source Record]
SUSTech Authorship
Others
Data Source
IEEE
PDF urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9906941
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/406131
DepartmentDepartment of Electrical and Electronic Engineering
Affiliation
1.School of Electrical Engineering and Telecommunications, the University of New South Wales, Sydney, NSW 2052, Australia
2.School of Electrical and Information Engineering, the University of Sydney, Sydney, NSW 2006, Australia
3.Department of Electrical, Electronic and Computer Engineering, the University of Western Australia, Perth WA 6009, Australia
4.Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen 518055, China
Recommended Citation
GB/T 7714
Chang Liu,Xuemeng Liu,Shuangyang Li,et al. Deep CLSTM for Predictive Beamforming in Integrated Sensing and Communication-Enabled Vehicular Networks[J]. Journal of Communications and Information Networks,2022,7(3):269-277.
APA
Chang Liu,Xuemeng Liu,Shuangyang Li,Weijie Yuan,&Derrick Wing Kwan Ng.(2022).Deep CLSTM for Predictive Beamforming in Integrated Sensing and Communication-Enabled Vehicular Networks.Journal of Communications and Information Networks,7(3),269-277.
MLA
Chang Liu,et al."Deep CLSTM for Predictive Beamforming in Integrated Sensing and Communication-Enabled Vehicular Networks".Journal of Communications and Information Networks 7.3(2022):269-277.
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