Mobility-aware Handover Strategies in Smart Cities

Supporting the Internet of Things and Smart City applications is one of the most important goals in the ongoing design process of 5G cellular systems. Another trend is an increasing focus on data-driven optimization and Self-Organized Networking, in order to automate network deployments and increase performance and efficiency. This approach, however, does not fully take advantage of the data generated by the Smart City. In this work, we propose to process and use the information flowing through the network from the city sensors to increase the awareness of the network itself, improving the communication performance. We exploit vehicular traffic data from the Traffic for London (TfL) sensor network to infer mobility patterns and improve the efficiency of LTE handovers.