| KEYWORD |
Characterization, classification and prediction of mobile traffic
keywords CELLULAR NETWORKS, SMART GRIDS
Reference persons MICHELA MEO, DANIELA RENGA
Research Groups ICT4SS - ICT FOR SMART SOCIETIES, Telecommunication Networks Group
Description Starting from a large set of traffic data of mobile networks, the thesis has two objectives
- the characterization of traffic based on key indices like: duration and extension of peaks, traffic volumes for the various services, mean and variance, ...
- the application of machine learning techniques to classify the traffic traces of different base stations based on some of their characteristics such as: duration of traffic peaks, high and low peak ratio, duration of low load periods
- machine-learning based prediction of traffic
Required skills The thesis requires skills of data analysis and statistics, an average score of 27.
Deadline 19/03/2025
PROPONI LA TUA CANDIDATURA