Characterizing Mobility and Service Pattern of Mobile Users Based on Wireless Data Analysis

Massive amount of data and information are produced by the wide-spread usage of mobile devices like smartphones. Data analysis of large amounts of wireless network data is crucial in understanding user behaviors and service usage patterns. Understanding and forecasting mobile user behaviors is not only valuable for service providers to control and manage mobile network, but also improve the user experience. In this paper, we first introduce the cellular network architecture and describe the features of wireless data collected from mobile network. Then we present a complete analysis process on the wireless data. After preprocessing, we perform an analysis on data traffic from different aspects to understand user behavior patterns. We also discuss several significant ways of utilizing the results of analysis in this study to solve some current problems.