Dataset of channels and received IEEE 802.11ay signals for sensing applications in the 60GHz band

Description

The dataset can be used to develop and test algorithms for communication and sensing in the 60GHz band. The dataset consists of synthetically generated indoor mm-wave channels between a MIMO transmitter and a MIMO receivers. Multiple targets are moving in the room. Number of targets, velocity of each target and trajectory are randomized across the dataset. The dataset contains also noisy received IEEE 802.11ay channel estimation fields. The dataset is suitable for development and testing of machine/deep learning algorithms. The dataset can be used to participate to the ITU AI/ML 5G Challenge. For information on the challenge and registration, please refer to: https://challenge.aiforgood.itu.int/match/matchitem/38. The challenge dataset relies on the open-source software available at: https://github.com/usnistgov/PS-002-WALDO.

Resources

Name Format Description Link
47 https://data.nist.gov/od/ds/mds2-2417/mds2-2417-filelisting.csv.sha256
53 CSV file containing the download URL for the file in the dataset https://data.nist.gov/od/ds/mds2-2417/mds2-2417-filelisting.csv
47 https://data.nist.gov/od/ds/mds2-2417/Instructions%20to%20download%20the%20dataset.txt.sha256
21 GitHub Access to Download https://github.com/usnistgov/PS-002-WALDO
0 https://doi.org/10.18434/mds2-2417
47 Instructions to download the dataset https://data.nist.gov/od/ds/mds2-2417/Instructions%20to%20download%20the%20dataset.txt

Tags

  • communication
  • deep-learning
  • ieee-802-11bf
  • sensing
  • dataset
  • channel-model
  • millimeter-wave
  • machine-learning
  • ieee-802-11ay

Topics

Categories