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

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.

Data and Resources

Field Value
accessLevel public
accrualPeriodicity irregular
bureauCode {006:55}
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identifier ark:/88434/mds2-2417
issued 2021-07-19
landingPage https://data.nist.gov/od/id/mds2-2417
language {en}
license https://www.nist.gov/open/license
modified 2021-05-27 00:00:00
programCode {006:045}
publisher National Institute of Standards and Technology
resource-type Dataset
source_datajson_identifier true
source_hash 5ad343a535278f08d1a913e1f871e99a173cc9de
source_schema_version 1.1
theme {"Information Technology:Mobile","Advanced Communications:Wireless (RF)"}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • amerigeo
  • amerigeoss
  • channel-model
  • ckan
  • communication
  • dataset
  • deep-learning
  • geo
  • geoss
  • ieee-802-11ay
  • ieee-802-11bf
  • machine-learning
  • millimeter-wave
  • national
  • north-america
  • sensing
  • united-states
isopen False
license_id other-license-specified
license_title other-license-specified
maintainer Steve Blandino
maintainer_email steve.blandino@nist.gov
metadata_created 2025-11-22T17:15:44.182274
metadata_modified 2025-11-22T17:15:44.182278
notes 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.
num_resources 6
num_tags 17
title Dataset of channels and received IEEE 802.11ay signals for sensing applications in the 60GHz band