Semantic Communication for the Internet of Vehicles: A Multiuser Cooperative Approach-Reference-Cited by-同舟云学术

Semantic Communication for the Internet of Vehicles: A Multiuser Cooperative Approach

Published:2023-03 Issue:1 Volume:18 Page:100-109
ISSN:1556-6072
Container-title:IEEE Vehicular Technology Magazine
language:
Short-container-title:IEEE Veh. Technol. Mag.

Author:

Xu Wenjun¹^ORCID,Zhang Yimeng¹^ORCID,Wang Fengyu²^ORCID,Qin Zhijin³^ORCID,Liu Chenyao¹^ORCID,Zhang Ping⁴^ORCID

Affiliation:

1. School of Artificial Intelligence, Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China

2. School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China

3. Department of Electronic Engineering, Tsinghua University, Beijing, China

4. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/10209/10057974/10013090.pdf?arnumber=10013090

Reference15 articles.

1. Large-scale vehicle re-identification in urban surveillance videos

2. Deep Learning-Based End-to-End Wireless Communication Systems With Conditional GANs as Unknown Channels

3. Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

4. A cross-layer design for scalable mobile video

5. Multi-User Semantic Communications for Cooperative Object Identification

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