Published June 5, 2020
| Version v3
Dataset
Open
[ITU-T AI Challenge] Input/Output of project "Improving the capacity of IEEE 802.11 WLANs through Machine Learning"
Description
This data set will be used by participants of the ITU-T AI Challenge.
The data set contains:
- Input files: contain information such as nodes labels, nodes position, or channels used. These files have been used to simulate the behavior of random WLAN deployments under different channel bonding conditions.
- Output files: contain the output of the simulations - throughput per STA, RSSI that each STA receives from its AP, and interference map from APs' point of view.
More details can be found on the official website of the challenge: https://www.upf.edu/web/wnrg/ai_challenge
[Update - 28 July 2020] A script has been added to process the output files. In particular, the results of each deployment are separated into different files. Besides, different files are created according to the type of label/feature (throughput, airtime, RSSI map, and interference list).