Proactive Bandwidth Allocation for V2X Networks With Multi-Attentional Deep Graph Learning-Reference-Cited by-同舟云学术

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Proactive Bandwidth Allocation for V2X Networks With Multi-Attentional Deep Graph Learning

Published:2024-08 Issue:8 Volume:23 Page:8542-8555
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Wang Chenglong¹^ORCID,Peng Jun¹^ORCID,Cai Lin²^ORCID,Liu Weirong¹^ORCID,Li Shuo³^ORCID,He Hu¹^ORCID,Huang Zhiwu⁴^ORCID

Affiliation:

1. School of Computer Science and Engineering, Central South University, Changsha, China

2. Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada

3. School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha, China

4. School of Automation, Central South University, Changsha, China

Funder

National Natural Science Foundation of China

Natural Sciences and Engineering Research Council of Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7693/10634832/10403798.pdf?arnumber=10403798

Reference32 articles.

1. Architectural Design Alternatives Based on Cloud/Edge/Fog Computing for Connected Vehicles

2. Performance Analysis and Optimization for Semi-Persistent Scheduling in C-V2X

3. Spectrum for V2X: Allocation and Sharing

4. A Survey on Resource Allocation in Vehicular Networks

5. AI-Enabled Spatial-Temporal Mobility Awareness Service Migration for Connected Vehicles

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