Machine learning for detecting parasitic operators in Radio Base Stations
Radio Base Stations (RBSs) are among the constitutive bricks of a mobile network, acting both as interfaces with end users and transmissive units. Each RBS belongs to a network operator, who in turn allows other operators to use the infrastructure as guests: a sharing contract regulates this deal.
The master’s thesis will aim at using machine learning and data mining techniques to detect RBSs whose guests use more resources than allowed, acting as parasitic operators.
Detail of a RBS’s antenna (image credits: wikiwand.com)