DeepSense 6G Applications
DeepSense 6G enables a wide range of applications in communications, sensing, and localization. To encourage the development of machine learning solutions for these applications and motivate benchmarking and comparisons, we define specific machine learning tasks. For each DeepSense 6G-based task, we provide the following:
- Task definition and formulation
- Diverse real-world task-specific development dataset
- Benchmarking scripts
Task #1: Sensing Aided Beam Prediction
Predict the optimal beam indices (decide on where to point the beams) using the multi-modal sensory data: RGB cameras, LiDARs, radars, and GPS data.
To access the modality-specific sensing-aided blockage prediction task page, please click on the links below.
Task #2: Sensing Aided Blockage Prediction
Proactively predict future LOS link blockages using multi-modal sensory data collected up to the current time instant: RGB cameras, LiDARs, radars, and GPS data.
To access the modality-specific sensing-aided blockage prediction task page, please click on the links below.
