Nowadays, mobile operators face the challenge to sustain the future data tsunami. In fact,
today's increasing data and control traffic generated by new kinds of network usage puts …

Mobile data offloading can help the mobile network operator (MNO) cope with the explosive
growth of cellular traffic, by delivering mobile traffic through third-party access points …

Using heterogeneous data sources collected from one of the largest 3G cellular networks in
the US over three months, in this paper we investigate the usage patterns of mobile data …

Cellular communications are undergoing significant evolutions in order to accommodate the
load generated by increasingly pervasive smart mobile devices. Dynamic access network …

Deployment and demand traces are a crucial tool to study today's LTE systems, as well as
their evolution toward 5G. In this paper, we use a set of real-world, crowdsourced traces …

In this work we design and implement a Neural Network that can identify recurrent patterns
in various metrics which can be then used for cellular network traffic forecasting. Based on a …

Cache-enabled device-to-device (D2D) communications can boost network throughput. By
pre-downloading contents to local caches of users, the content requested by a user can be …

We propose a new approach to assess the impact of traffic-related air pollution on public
health by mapping personal trajectories using mobile phone tracking technology in an urban …

Intelligent transportation systems (ITS) are one part of smart cities aimed at efficient public
transport, smart parking, enhanced road safety, intelligent traffic management, on-vehicle …

Current trends in spectrum regulation show that more and more unlicensed and shared
spectrum bands are poised to be opened up for mobile communication. However, the …