Computer Vision-Aided Proactive Mobility Management for 6G Terahertz Communications
Author:
Affiliation:
1. Seoul National University,Department of Electrical and Computer Engineering,Korea
Funder
National Research Foundation of Korea (NRF)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10436708/10436716/10437835.pdf?arnumber=10437835
Reference17 articles.
1. Energy-Efficient Millimeter-Wave Cell-Free Systems Under Limited Feedback
2. Key Technologies for THz Wireless Link by Silicon CMOS Integrated Circuits
3. Energy-Efficient Ultra-Dense Network With Deep Reinforcement Learning
4. Energy-Efficient User Association in mmWave/THz Ultra-Dense Network via Multi-Agent Deep Reinforcement Learning
5. User Association in 5G Networks: A Survey and an Outlook
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1. Computer Vision-Aided Beamforming for 6G Wireless Communications: Dataset and Training Perspective;ICC 2024 - IEEE International Conference on Communications;2024-06-09
2. Multi-User Identification and 3D Positioning Using Multi-View Images via Contrastive Learning;2024 IEEE International Conference on Communications Workshops (ICC Workshops);2024-06-09
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