Radar Point Cloud-Based Deep Learning Approach for High-Capacity Urban V2I Communications

IF 4.6 3区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Wireless Communications Letters Pub Date : 2025-05-02 DOI:10.1109/lwc.2025.3566545

Leyan Chen, Kai Liu, Peng Yang, Zehui Xiong, Tony Q. S. Quek, Zhibo Zhang

引用次数: 0

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基于雷达点云的大容量城市V2I通信深度学习方法

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Wireless Communications Letters Engineering-Electrical and Electronic Engineering

CiteScore

12.30

自引率

6.30%

发文量

481

期刊介绍： IEEE Wireless Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of wireless communications. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of wireless communication systems.