[ITU-T AI Challenge] Input/Output of project "Improving the capacity of IEEE 802.11 WLANs through Machine Learning"

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