In this talk, we will first review key enabling techniques of today’s software-defined mobile networks. We will discuss some results concerning security and latency analysis in mobile cloud networks, based on two promising network technologies: Network Coding and Network Calculus. Then we will look into the nature of data-driven approaches and introduce to the audience how machine learning can make our networks smarter. Finally, the possible use cases for machine learning in future 5G networks will be discussed.
Yu-Jia Chen received the B.S. degree and Ph.D. degree in electrical engineering from National Chiao Tung University, Taiwan, in 2010 and 2015, respectively. He is currently a postdoctoral fellow in National Chiao Tung University and an adjunct assistant professor at the department of communication engineering in National Central University. His research interests include Internet of Things, software defined networks (SDN), and network security. Dr. Chen has published 26 journal and international conference papers. He is holding three US patent and three ROC patent.