Work

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

Year: 2025

Type: article

Source: IEEE Wireless Communications Letters

DOI: 10.1109/lwc.2025.3566545

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

Institutions: Beihang University, Singapore University of Technology and Design

Language: English

Topic: Vehicular Ad Hoc Networks (VANETs)

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: closed

Funder: National Natural Science Foundation of China

Awards: G1560154075, G1748505506, G7459851558, G7854571644

OpenAlex ID: W4410028560

FWCI: 0.231

Cites: 14

Cited by: 1

Related to: 10