Discovery of contrast corridors from trajectory data in heterogeneous dynamic cellular networks

Abstract

In 5G networks, the deployment and management of mobile edge computing infrastructure is a major challenge for mobile operators. Most recent work focused on extracting static movement patterns of mobile users from the trajectories generated during a specific time period to help with the management and orchestration of network resources. However, movement patterns of mobile users are not static over time. Understanding significant differences in mobile users' movement during different time periods can provide insights for mobile operators to dynamically reconfigure the network in response to the changes in traffic flows by time of day. Therefore, in this paper, we propose a framework based on..