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Found 7 papers, 1 papers with code
Vision Guided MIMO Radar Beamforming for Enhanced Vital Signs Detection in Crowds
Radar as a remote sensing technology has been used to analyze human activity for decades.
Real-Time Digital Twins: Vision and Research Directions for 6G and Beyond
This article presents a vision where \textit{real-time} digital twins of the physical wireless environments are continuously updated using multi-modal sensing data from the distributed infrastructure and user devices, and are used to make communication and sensing decisions.
Digital Twin Based Beam Prediction: Can we Train in the Digital World and Deploy in Reality?
To address this challenge, we propose a novel direction that utilizes digital replicas of the physical world to reduce or even eliminate the MIMO channel acquisition overhead.
Sensing Aided Reconfigurable Intelligent Surfaces for 3GPP 5G Transparent Operation
Can reconfigurable intelligent surfaces (RISs) operate in a standalone mode that is completely transparent to the 3GPP 5G initial access process?
Camera Aided Reconfigurable Intelligent Surfaces: Computer Vision Based Fast Beam Selection
Reconfigurable intelligent surfaces (RISs) have attracted increasing interest due to their ability to improve the coverage, reliability, and energy efficiency of millimeter wave (mmWave) communication systems.
LiDAR Aided Future Beam Prediction in Real-World Millimeter Wave V2I Communications
A machine learning (ML) model that leverages the LiDAR sensory data to predict the current and future beams was developed.
Computer Vision Aided Beam Tracking in A Real-World Millimeter Wave Deployment
Our proposed approach is evaluated on a large-scale real-world dataset, where it achieves an accuracy of $64. 47\%$ (and a normalized receive power of $97. 66\%$) in predicting the future beam.
