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).
| Name | Size | |
|---|---|---|
|
output_11ax_sr_simulations.txt
md5:fbc46b984e7460dd132e015a773f7b9b |
2.3 MB | Download |
|
simulator_input_files.zip
md5:defa8876f122817b1d447ca123f7e1c7 |
14.6 MB | Download |
| All versions | This version | |
|---|---|---|
| Views | 462 | 170 |
| Downloads | 370 | 93 |
| Data volume | 8.0 GB | 779.9 MB |
| Unique views | 353 | 147 |
| Unique downloads | 135 | 56 |
- Publication date:
- September 1, 2021
- DOI:
-
- Keyword(s):
- IEEE 802.11ax Federated Learning Machine Learning Spatial Reuse Training dataset
- License (for files):
- Creative Commons Attribution 4.0 International