Many mobility prediction models have emerged over the past decade to predict a user's next
location through the utilisation of user trajectories. However, the performance is constrained …

We consider the energy-efficient mobility-aware content caching problem with clustered
small cells (SCs) in ultra-dense networks (UDNs). The UDN is regarded as one of the key …

Modeling how human moves in the space is useful for policy-making in transportation, public
safety, and public health. The human movements can be viewed as a dynamic process that …

In-laboratory mobile device data gathering is useful to support fields of study that rely on
data derived from mobile devices as elementary research input. Particularly, Dew …

Understanding human mobility patterns at the point-of-interest (POI) scale plays an
important role in enhancing business intelligence in mobile environments. While large …