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Dataset Open Access

[ITU AI/ML Challenge 2021] Dataset IEEE 802.11ax Spatial Reuse

Francesc Wilhelmi

This dataset has been created for the problem statement ITU-ML5G-PS-004 of the ITU AI/ML Challenge (2021 edition). More information can be found here: https://challenge.aiforgood.itu.int/

The dataset contains the information of 10.000 IEEE 802.11ax deployments at which the Basic Service Set (BSS) of interest applies different possible OBSS/PD thresholds in the context of the Spatial Reuse (SR) operation. In total, 21 OBSS/PD values are considered for each deployment, so the dataset includes 210.000 simulations, which are expected to be used for training Machine Learning (ML) algorithms. More specifically, the proposed PS is focused on Federated Learning (FL).

Files (16.9 MB)
Name Size
output_11ax_sr_simulations.txt
md5:fbc46b984e7460dd132e015a773f7b9b
2.3 MB Download
simulator_input_files.zip
md5:defa8876f122817b1d447ca123f7e1c7
14.6 MB Download
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