Dataset for QoE prediction in B5G/6G networks

This page provides the dataset used in this paper:

• J.L. Corcuera Bárcena, P. Ducange, F. Marcelloni, G. Nardini, A. Noferi, A. Renda, G. Stea, A. Virdis, "Towards Trustworthy AI for QoE prediction in B5G/6G Networks", First International Workshop on Artificial Intelligence in Beyond 5G and 6G Wireless Networks (AI6G 2022), Padua, IT, 18-23 July 2022

Download the full dataset here: link

Each row of the dataset is relative to a specific statistic (e.g. frame size) of a specific node (i.e. UE or gNB). Statistics are taken as time series, more in particular a row of the generated dataset is organised as follows:

    ['run', 'network_parameters', 'module', 'statistic', 'timestamps', 'values']

where:

• 'run': the simulation number (i.e. the ID of the simulation)
• 'network_parameters': parameters of the network
• ‘module’: module that recorded the statistic (e.g. ue[0])
• ‘statistic’: name of the recorded statistic
• ‘timestamp’: vector with all the timestamps associated with the statistic values
• ‘values’: vector with the statistic values