Performance of Cooperative Detection in Joint Communication-Sensing Vehicular Network: A Data Analytic and Stochastic Geometry Approach

Author:

Ma Hao1ORCID,Wei Zhiqing1ORCID,Li Zening2,Ning Fan1,Chen Xu1ORCID,Feng Zhiyong1ORCID

Affiliation:

1. Key Laboratory of Universal Wireless Communications, Ministry of Education, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China

2. Electrical and Computer Engineering Department, University of Waterloo, Waterloo, ON, Canada

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Beijing Municipal Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Network-Level Analysis of Integrated Sensing and Communication Using Stochastic Geometry;IEEE Internet of Things Magazine;2024-07

2. Coverage and Capacity Analysis for Terahertz Integrated Sensing and Communication Networks;ICC 2024 - IEEE International Conference on Communications;2024-06-09

3. The Meta Distribution of the SIR in Joint Communication and Sensing Networks;2024 IEEE International Conference on Communications Workshops (ICC Workshops);2024-06-09

4. Stochastic Network Calculus Analysis of Spatial-Temporal Integrated Sensing and Communication Networks;IEEE Transactions on Vehicular Technology;2024-06

5. Dynamic Graph Neural Networks for Joint Terahertz based Sensing and Communication Optimization in Vehicular Networks;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21

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