A Machine Learning Based Approach to Mobile Network Analysis

In this paper, we present our recent work in progress on 4G mobile network analysis. In order to provide an in-depth study on the closed network operations, we advocate a novel approach via two-level, device-centric machine learning that can open up the system behaviors and facilitate fine-grained analysis . We describe our proposed approach, and use the latency analysis on two popular mobile apps (Web browsing and Instant Messaging) to illustrate how our scheme works. We further preliminary results and discuss the open issues.