Device-to-device (D2D) communication proposes a new epitome in mobile networking to
avail data exchange between physically proximate devices. The exploitation of D2D …

Timely and accurate cellular traffic prediction is difficult to achieve due to the complex spatial-
temporal characteristics of cellular traffic. The latest approaches mainly aim to model local …

While traffic modeling and prediction are at the heart of providing high-quality
telecommunication services in cellular networks and attract much attention, they have been …

Mobile CrowdSensing is a new paradigm in which requesters launch tasks to the mobile
users, who provide the sensing services. The tasks, in practice, often have various …

In this paper, we present a real-world study where a community-based tracking infrastructure
has been put to good use for understanding human mobility during the COVID-19 outbreak …

Data sponsoring is a widely-used incentive method in today's cellular networks, where video
content providers (CPs) cover part or all of the cellular data cost for mobile users so as to …

This paper aims at estimating the current location, or predicting the next location, of a person
when the recent location sequence of that person is unknown. Inspired by the fact that the …

WiFi wireless access has been the basic living need for smart phone users in the era of
mobile multimedia. A large number of WiFi hotspots have also developed into an important …

Taxi pick-up area recommendation based on GPS data can effectively improve efficiency
and reduce fuel consumption. Most of the methods use the long-term GPS data, which …

The ability to accurately predict human encounters can inspire a variety of promising
applications, ranging from epidemiology to data forwarding in opportunistic networks. This …