DeepSense 6G

DeepSense 6G is a real-world multi-modal dataset that comprises coexisting multi-modal sensing and communication data, such as mmWave wireless communication, Camera, GPS data, LiDAR, and Radar, collected in realistic wireless environments 

  • World’s first large-scale real-world sensing-communication dataset 
  • 1Million+ multi-modal sensing-communication data samples 
  • Modalities include mmWave comm., GPS, Image, LiDAR and Radar
  • 30+ scenarios targeting various applications 
  • Several indoor/outdoor locations with high diversity 
  • Data collected at different times of day and weather conditions
  • Tens of thousands of manually and auto labeled data 

 

DeepMIMO

DeepMIMO is a framework for generating large-scale wireless MIMO datasets based on accurate 3D Ray-tracing

  • Completely defined by the ray-tracing scenario and the set of parameters
  • Enables a wide range of machine learning communication and sensing applications
  • Allows dataset reproducibility for benchmarking and comparisons
  • Generating datasets compatible with 5G NR channel models and numerologies
  • Several indoor/outdoor scenarios with high diversity 
  • New scenarios are added on a regular basis

 

Wireless Intelligence Lab

 School of Electrical, Computer, and Energy Engineering

Arizona State University

GWC 321, 650 E Tyler Mall, Tempe, AZ, USA, 85281