AI-Enhanced Traffic Classification for QoS Optimization in Dense Mobile Networks

Abstract

The research investigates AI-aided traffic classification towards optimizing quality of service performance in dense mobile networks. The primary aim is to deploy and evaluate AI-aided traffic classification models in real-time that can dynamically adjust network parameters to achieve optimal performance under changing traffic classes and conditions.