With the rapid development of the mobile communication technology, mobile trajectories of
humans are massively collected by Internet service providers (ISPs) and application service …

In this article, the problem of vertical handover in software-defined network (SDN) based
heterogeneous networks (HetNets) is studied. In the studied model, HetNets are required to …

Mobile phone data are a popular source of positioning information in many recent studies
that have largely improved our understanding of human mobility. These data consist of time …

Understanding human mobility benefits numerous applications such as urban planning,
traffic control, and city management. Previous work mainly focuses on modeling spatial and …

Given the difficulties in predicting human behavior, one may wish to establish bounds on our
ability to accurately perform such predictions. In the case of mobility-related behavior, there …

Accurate human mobility prediction is important for many applications in wireless networks,
including intelligent content caching and prefetching, network optimization, etc. However …

With the wide adoption of mobile devices, it becomes increasingly important to understand
how users use mobile apps. Knowing when and where certain apps are used is instrumental …

Mobility is an essential factor in the 5G core network (CN). If the network control plane can
predict mobility, the operation will be more efficient and agile with intelligent and proactive …

Human mobility prediction techniques are instrumental for many important applications
including service management and city planning. Previous work looks at the inherent …

In the modern information society, analysis of human mobility becomes increasingly
essential in various areas such as city planning and resource management. With users' …