Machine (deep) learning-enabled accurate traffic modeling and prediction is an
indispensable part for future big data-driven intelligent cellular networks, since it can help …

The cloud radio access network (C-RAN) is a promising paradigm to meet the stringent
requirements of the fifth generation (5G) wireless systems. Meanwhile, the wireless traffic …

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 …

Energy conservation has always been crucial issues faced by the development of academia
and the automotive industry. Traditional cellular networks cannot meet people's needs for …

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 …

Trust assessment in cloud depends on QoS attributes. While evaluating the trustworthiness
of the CSPs, traditional methods of trust assessment do not take into account QoS attributes …

In an offload-capable Long Term Evolution (LTE) Wireless Fidelity (WiFi) Heterogeneous
Network (HetNet), we consider the problem of maximization of the total system throughput …

The adoption of Internet of Things (IoT) technologies is increasing and thus IoT is seemingly
shifting from hype to reality. However, the actual use of IoT over significant timescales has …

We investigate spatial patterns in mobile service consumption that emerge at national scale.
Our investigation focuses on a representative case study, ie, France, where we find that:(i) …

Combining stochastic geometric approach with some classical results from queueing theory
regarding generalized processor sharing queues, in this paper we extend the synthetic …