This book focuses on mobile data and its applications in the wireless
networks of the future. Several topics form the basis of discussion,
from a mobile data mining platform for collecting mobile data, to mobile
data processing, and mobile feature discovery. Usage of mobile data
mining is addressed in the context of three applications: wireless
communication optimization, applications of mobile data mining on the
cellular networks of the future, and how mobile data shapes future
cities.
In the discussion of wireless communication optimization, both licensed
and unlicensed spectra are exploited. Advanced topics include mobile
offloading, resource sharing, user association, network selection and
network coexistence. Mathematical tools, such as traditional
convexappl/non-convex, stochastic processing and game theory are used to
find objective solutions. Discussion of the applications of mobile data
mining to cellular networks of the future includes topics such as green
communication networks, 5G networks, and studies of the problems of cell
zooming, power control, sleep/wake, and energy saving. The discussion of
mobile data mining in the context of smart cities of the future covers
applications in urban planning and environmental monitoring: the
technologies of deep learning, neural networks, complex networks, and
network embedded data mining. Mobile Data Mining and Applications will
be of interest to wireless operators, companies, governments as well as
interested end users.
