9 citations · 29 across the 9 of their papers we have counts for
5 papers · 1 filter
Millimeter Wave Drones with Cameras: Computer Vision Aided Wireless Beam Prediction
Gouranga Charan, Andrew Hredzak, Ahmed Alkhateeb
Millimeter wave (mmWave) and terahertz (THz) drones have the potential to enable several futuristic applications such as coverage extension, enhanced security monitoring, and disas…
DeepSense 6G: A Large-Scale Real-World Multi-Modal Sensing and Communication Dataset
Ahmed Alkhateeb, Gouranga Charan, Tawfik Osman +4
This article presents the DeepSense 6G dataset, which is a large-scale dataset based on real-world measurements of co-existing multi-modal sensing and communication data. The DeepS…
Towards Real-World 6G Drone Communication: Position and Camera Aided Beam Prediction
Gouranga Charan, Andrew Hredzak, Christian Stoddard +4
Millimeter-wave (mmWave) and terahertz (THz) communication systems typically deploy large antenna arrays to guarantee sufficient receive signal power. The beam training overhead as…
Vision-Position Multi-Modal Beam Prediction Using Real Millimeter Wave Datasets
Gouranga Charan, Tawfik Osman, Andrew Hredzak +2
Enabling highly-mobile millimeter wave (mmWave) and terahertz (THz) wireless communication applications requires overcoming the critical challenges associated with the large antenn…
ViWi Vision-Aided mmWave Beam Tracking: Dataset, Task, and Baseline Solutions
Muhammad Alrabeiah, Jayden Booth, Andrew Hredzak +1
Vision-aided wireless communication is motivated by the recent advances in deep learning and computer vision as well as the increasing dependence on line-of-sight links in millimet…