Page 19 - Proceedings of the 2017 ITU Kaleidoscope

DATA-DRIVEN FUTURE WIRELESS COMMUNICATION

Jianhua Zhang

Professor, Beijing University of Posts and Telecommunications, China

Besides supporting the traditional requirement of large-area coverage and high-data rate transmission
services, IMT-2020 defined by ITU-R is also expected to supply smart and reliable interconnection
among humans and things. Thus, the vision of IMT-2020 presents the convergence of wireless
communication, Internet, Internet of Things (IoT) and machine-type communication (MTC), which
together brings an explosive increase to traffic volume and stimulates wireless communication to the
time of big data. Obviously, such vision poses big challenges to 5G and future wireless
communication. This keynote speech discusses the application of computer science into future
wireless communication, especially data mining techniques to accelerate the wireless research and
development. Firstly, the big data tendency of wireless communication is presented and the possible
ways to combine them are pointed out. In particular, a three-level structure of a wireless system is
defined in order to classify the propagation environments, which will bring the complex combination
into simplicity. Considering these three levels, there are different tasks like service prediction and
pushing, self-organized networking, self-adapting large-scale fading modeling and so on, which can
be abstracted into problems like regression, classification, clustering, etc. Since there are many
powerful algorithms in the data mining domain to accomplish them, we can expect a data-driven
future wireless communication to make our lives and society convenient.