Understanding Data Usage Patterns of Geographically Diverse Mobile Users

The increasing trend of the traffic demand from mobile users and presence limited resources creates a challenge for network resource management. Understanding data usage pattern is way forward to enable data-driven However, due complex nature networks, understanding characterizing daunting task. In this work, we investigate characterize patterns behavior in networks. We leverage dataset (~340 M records) collected through crowd-based measurement platform - Netradar across six countries. elucidate different factors study how they affect by taking Finland as use case. perform comparison on countries considering total consumption, access, number sessions created per user, throughput, user satisfaction level services. show that over primarily driven mobility, type subscription plan marketed Mobile Network Operators (MNOs), congestion, coverage. Besides, technologies (e.g., preferring cellular WiFi) percentage accessing congested networks vary country; mostly market pricing strategy radio overall consumption (cellular comparatively similar most studied.