While crowdsourcing is an attractive approach to collect large-scale wireless measurements,
understanding the quality and variance of the resulting data is difficult. Our work analyzes …

This paper demonstrates the feasibility of an hybrid/semi-supervised classification method
for detecting the environment of an active mobile phone, based on both labeled and …

The accuracy of measurement-driven mobile coverage maps depends on the quality,
density and pattern of the signal strength observations. Thus, identifying an efficient …

Due to its huge impact on the overall quality of service (QoS) of wireless networks, both
academic and industrial research have actively focused on analyzing the received signal …

Although research in the field of indoor localization has been fruitful and abundant, the
research space is currently disorganised, which hinders progress. With many indoor …

Detecting whether a mobile user is indoor or outdoor is an important issue which
significantly impacts user behavior contextualization and mobile network resource …

Mobile broadband (MBB) networks (eg, 3G/4G) underpin numerous vital operations of the
society and are arguably becoming the most important piece of the communications …

Context-aware mobile applications are emerging as a relevant technology to improve the
users' satisfaction. By being aware of the current situation of a user, a context-aware …

Cognition of user behavior can make future mobile networks more intelligent and flexible.
Knowledge about users' habits can be used to personalize services and intelligently …

Optimizing mobile networks in the rapidly evolving field of wireless communication is
increasingly challenging due to two main issues associated with current methods. First, the …