Title | Deep Learning-Based Cramér-Rao Bound Optimization for Integrated Sensing and Communication in Vehicular Networks |
Author | |
DOI | |
Publication Years | 2023
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ISSN | 1948-3244
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ISBN | 978-1-6654-9627-8
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Source Title | |
Pages | 646-650
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Conference Date | 25-28 Sept. 2023
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Conference Place | Shanghai, China
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Keywords | |
SUSTech Authorship | First
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URL | [Source Record] |
Data Source | IEEE
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PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10304366 |
Citation statistics | |
Document Type | Conference paper |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/582718 |
Affiliation | 1.Southern University of Science and Technology, Shenzhen, China 2.The Hong Kong Polytechnic University, Hong Kong, SAR, China |
First Author Affilication | Southern University of Science and Technology |
First Author's First Affilication | Southern University of Science and Technology |
Recommended Citation GB/T 7714 |
Xiaoqi Zhang,Weijie Yuan,Chang Liu,et al. Deep Learning-Based Cramér-Rao Bound Optimization for Integrated Sensing and Communication in Vehicular Networks[C],2023:646-650.
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