DeepVerse 6G

Citation Author(s):
Umut
Demirhan
Arizona State University
Abdelrahman
Taha
Arizona State University
Ahmed
Alkhateeb
Arizona State University
Submitted by:
Wireless Intell...
Last updated:
Mon, 07/08/2024 - 15:59
DOI:
10.21227/nk8m-6087
License:
Creative Commons Attribution
103 Views
Categories:
Artificial Intelligence
Signal Processing
Digital signal processing
Machine Learning
Sensors
Communications
Keywords:
communications, synthetic data, Multi-modal sensing, Wireless, radar, Lidar, computer vision, GPS
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Abstract 

Evolving from the well-known ray-tracing dataset DeepMIMO, the DeepVerse 6G dataset additionally provides multi-modal sensing data generated from various emulators. These emulators provide the wireless, radar, LiDAR, vision and position data. With a parametric generator, the DeepVerse dataset can be customized by the user for various communication and sensing applications.

Instructions: 

Note: The generation of a dataset requires matlab.

Download the scenario data and extract into a folder (dataset folder).

Download the generator scripts and extract into a folder.

Set the parameters in wv_params.m, radar_params.m and wireless_params.m for desired properties.

Run wireless_verse_example.m to generate an example dataset.

Dataset Files

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