Computer Vision Aided mmWave Beam Alignment in V2X Communications-Reference-Cited by-同舟云学术

Computer Vision Aided mmWave Beam Alignment in V2X Communications

Published:2023-04 Issue:4 Volume:22 Page:2699-2714
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Xu Weihua¹^ORCID,Gao Feifei¹^ORCID,Tao Xiaoming²^ORCID,Zhang Jianhua³^ORCID,Alkhateeb Ahmed⁴^ORCID

Affiliation:

1. Department of Automation, Tsinghua University, Institute for Artificial Intelligence (THUAI) and the Beijing National Research Center for Information Science and Technology (BNRist), Beijing, China

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

3. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China

4. School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA

Funder

National Natural Science Foundation of China

Tsinghua University Initiative Scientific Research Program

Grant from the Guoqiang Institute, Tsinghua University

Tsinghua University-China Mobile Communications Group Company Ltd. Joint Institute

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Link

http://xplorestaging.ieee.org/ielx7/7693/10098671/09923616.pdf?arnumber=9923616

Reference41 articles.

1. Vision-Aided 6G Wireless Communications: Blockage Prediction and Proactive Handoff

2. Beam Switching for Millimeter Wave Communication to Support High Speed Trains

3. Federated mmWave Beam Selection Utilizing LIDAR Data

4. Beam Tracking and Optimization for UAV Communications

5. Computer vision aided beam tracking in a real-world millimeter wave deployment;jiang;arXiv 2111 14803,2021

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