Multi-User Matching and Resource Allocation in Vision Aided Communications-Reference-Cited by-同舟云学术

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Multi-User Matching and Resource Allocation in Vision Aided Communications

Published:2023-08 Issue:8 Volume:71 Page:4528-4543
ISSN:0090-6778
Container-title:IEEE Transactions on Communications
language:
Short-container-title:IEEE Trans. Commun.

Author:

Xu Weihua¹^ORCID,Gao Feifei¹^ORCID,Zhang Yong²^ORCID,Pan Chengkang³^ORCID,Liu Guangyi³^ORCID

Affiliation:

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

2. Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, Faculty of Information Technology, Beijing University of Technology, Beijing, China

3. China Mobile Research Institute, Beijing, China

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

Grant from the Guoqiang Institute

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/26/10219032/10122230.pdf?arnumber=10122230

Reference38 articles.

1. Vision-Position Multi-Modal Beam Prediction Using Real Millimeter Wave Datasets

2. Comparative analysis of initial access techniques in 5G mmWave cellular networks

3. Computer vision aided URLL communications: Proactive service identification and coexistence;alrabeiah;arXiv 2103 10419,2021

4. Learning to optimize: Training deep neural networks for wireless resource management

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

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1. Angle Domain Channel-Based Camera Pose Correction for Vision-Aided ISAC Systems;IEEE Wireless Communications Letters;2024-08

2. Computer Vision Based Link Scheduling in mmWave Multi-Hop V2X Communications;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21

3. Key Technologies for 6G-Enabled Smart Sustainable City;Electronics;2024-01-07

4. Intelligent Multi-Modal Sensing-Communication Integration: Synesthesia of Machines;IEEE Communications Surveys & Tutorials;2023

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