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
|
Volume | 7Issue:3Pages:269-277 |
Keywords | |
URL | [Source Record] |
SUSTech Authorship | Others
|
Data Source | IEEE
|
PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9906941 |
Citation statistics |
Cited Times [WOS]:0
|
Document Type | Journal Article |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/406131 |
Department | Department 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.
|
Files in This Item: | There are no files associated with this item. |
|
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment