Mobile operators are witnessing a dramatic increase in traffic spurred by a combination of
popularity of smartphones, innovative applications and diverse services. As mobile traffic …

Flexible large-scale WLANs are now widely deployed in crowded and highly mobile places
such as campus, airport, shopping mall and company etc. But network management is hard …

The on-demand connectivity service is one of the main requirements of the cellular data
network. It consists in moving sessions transparently and temporarily from one network …

Mobile traffic data collected by network operators is a rich source of information about
human habits, and its analysis provides insights relevant to many fields, including urbanism …

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 …

We consider the spectrum sharing problem between a set of device-to-device (D2D) links
and multiple co-located cellular networks. Each cellular network is controlled by an operator …

Anticipatory networking is a recent branch of network optimization based on prediction of the
system state. Our work specifically tackles prediction-driven resource allocation for mobile …

We consider a system where users aboard communication-enabled vehicles are interested
in downloading different contents from Internet-based servers. This scenario captures many …

Mobile data networks such as 3G and LTE exhibit properties that are fundamentally different
from those of fixed networks. These differences result in severe performance bottlenecks in …

The ability for cellular operators to closely predict the network traffic volume at various
locations can be very important for their resource management and dynamic network control …