As smartphones have become indispensable personal devices, the number of smartphone
users has increased dramatically over the last decade. These personal devices, which are …

The rapid uptake of mobile devices and the rising popularity of mobile applications and
services pose unprecedented demands on mobile and wireless networking infrastructure …

With the development of recent innovative applications (eg, augment reality, self-driving, and
various cognitive applications), more and more computation-intensive and data-intensive …

With the rapid development of medical and computer technologies, the healthcare system
has seen a surge of interest from both the academia and industry. However, most healthcare …

Forecasting with high accuracy the volume of data traffic that mobile users will consume is
becoming increasingly important for precision traffic engineering, demand-aware network …

The problem of cellular traffic generation in cities without historical traffic data is critical and
urgently needs to be solved to assist 5G base station deployments in mobile networks. In …

Understanding and predicting cellular traffic at large-scale and fine-granularity is beneficial
and valuable to mobile users, wireless carriers, and city authorities. Predicting cellular traffic …

Understanding and forecasting mobile traffic of large scale cellular networks is extremely
valuable for service providers to control and manage the explosive mobile data, such as …

Human mobility data has been ubiquitously collected through cellular networks and mobile
applications, and publicly released for academic research and commercial purposes for the …

To support ubiquitous computing for various applications (such as smart health, smart
homes, and smart cities), the communication system requires to be ubiquitously available …