Search Results for author:
Found 7 papers, 0 papers with code
Vehicle Cameras Guide mmWave Beams: Approach and Real-World V2V Demonstration
The developed solution is evaluated on a real-world multi-modal mmWave V2V communication dataset comprising co-existing 360 camera and mmWave beam training data.
Camera Based mmWave Beam Prediction: Towards Multi-Candidate Real-World Scenarios
The solutions developed so far, however, have mainly considered single-candidate scenarios, i. e., scenarios with a single candidate user in the visual scene, and were evaluated using synthetic datasets.
Real-World Evaluation of Full-Duplex Millimeter Wave Communication Systems
Noteworthy strides continue to be made in the development of full-duplex millimeter wave (mmWave) communication systems, but most of this progress has been built on theoretical models and validated through simulation.
DeepSense 6G: A Large-Scale Real-World Multi-Modal Sensing and Communication Dataset
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.
Online Beam Learning with Interference Nulling for Millimeter Wave MIMO Systems
Furthermore, a hardware proof-of-concept prototype based on mmWave phased arrays is built and used to implement and evaluate the developed online beam learning solutions in realistic scenarios.
Vision-Position Multi-Modal Beam Prediction Using Real Millimeter Wave Datasets
Enabling highly-mobile millimeter wave (mmWave) and terahertz (THz) wireless communication applications requires overcoming the critical challenges associated with the large antenna arrays deployed at these systems.
Design and Evaluation of Reconfigurable Intelligent Surfaces in Real-World Environment
These results, among others, draw useful insights into the design and performance of RIS systems and provide an important proof for their potential gains in real-world far-field wireless communication environments.
