Contact us
Ms. Xiaofang TANG; Dr. Gaoyun AN
Institute of Information Science
Beijing Jiaotong University
Beijing, China, 100044
Tel: 86 10 5168 8616
Fax: 86 10 5168 8616
Keynote Speech

Efficient Design of Future Mm-wave Wireless Communications

This talk will give an overview of recent research at the University of Edinburgh for future fifth generation wireless communications systems. There are currently major research efforts to exploit high frequency millimetre wave (mm-wave) frequency bands for wireless cellular operation. These bands are of significant interest due to the wide bandwidths available for communications as compared to microwave frequencies which are currently used for cellular system. However, these bands have only recently been considered due to the more hostile propagation conditions experienced at these frequencies. The use of multiple antennas to perform beamforming between devices can mitigate both the channel effects and also reduce interference. In this talk we discuss how to improve the energy efficiency of mm-wave communications systems as the power consumption of transmitter and receiver components is a major issue at these frequencies. We also discuss trade-offs in terms of energy and spectrum efficiency to allow efficient system operation.


Prof. John S. Thompson is currently a Professor in Signal Processing and Communications at the School of Engineering in the University of Edinburgh. He specializes in antenna array processing, cooperative communications systems and energy efficient wireless communications. He has published in excess of three hundred papers on these topics, including one hundred journal paper publications. He is currently the project co-ordinator for the EU Marie Curie International Training Network project ADVANTAGE and for the EPSRC SERAN research project on fifth generation wireless. He has recently been a distinguished lecturer for the IEEE in the field of Green Communications from 2014-2015. He is an editor for the Green Communications and Computing Series that appears regularly in IEEE Communications Magazine. In 2016, he was elevated to Fellow of the IEEE for contributions to to multiple antenna and multi-hop wireless communications.

Knowledge Centric Networking: Challenges and Opportunities

In the creation of a smart future information society, Internet of Things (IoT) and Content Centric Networking (CCN) break two key barriers for both the front-end sensing and back-end networking. However, we still observe the missing piece of the research that dominates the current design, i.e., lacking of the knowledge penetrated into both sensing and networking to glue them holistically. In this talk, I will introduce and discuss a new networking paradigm, called Knowledge Centric Networking (KCN), as a promising solution. The key insight of KCN is to leverage emerging machine learning or deep learning techniques to create knowledge for networking system designs, and extract knowledge from collected data to facilitate enhanced system intelligence and interactivity, improved quality of service, communication with better controllability, and lower cost. This talk presents the KCN design rationale, the KCN benefits and also the potential research opportunities.


Dapeng Oliver Wu received Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University, Pittsburgh, PA, in 2003. Since 2003, he has been on the faculty of Electrical and Computer Engineering Department at University of Florida, Gainesville, FL, where he is currently Professor.  His research interests are in the areas of networking, communications, video coding, image processing, computer vision, signal processing, and machine learning. 

He received University of Florida Term Professorship Award in 2017, University of Florida Research Foundation Professorship Award in 2009, AFOSR Young Investigator Program (YIP) Award in 2009, ONR Young Investigator Program (YIP) Award in 2008, NSF CAREER award in 2007, the IEEE Circuits and Systems for Video Technology (CSVT) Transactions Best Paper Award for Year 2001, the Best Paper Award in GLOBECOM 2011, and the Best Paper Award in QShine 2006.  Currently, he serves as Editor-in-Chief of IEEE Transactions on Network Science and Engineering, and Associate Editor of IEEE Transactions on Communications, IEEE Transactions on Signal and Information Processing over Networks, and IEEE Signal Processing Magazine.  He was the founding Editor-in-Chief of Journal of Advances in Multimedia between 2006 and 2008, and an Associate Editor for IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Wireless Communications and IEEE Transactions on Vehicular Technology. He has served as Technical Program Committee (TPC) Chair for IEEE INFOCOM 2012. He was elected as a Distinguished Lecturer by  IEEE Vehicular Technology Society in 2016. He is an IEEE Fellow.

How to SMILE (Send More Information bits with Less Energy)?

Motivated by green communications in 5G and beyond, we need to answer a fundamental question: can we send more information bits with less energy (SMILE)? Although Shannon has established a theoretical relationship between maximum information rate and the minimum energy needed to convey the information over AWGN channels, more sophisticated relationship between energy and information are still unknown. 
In this talk, I first outline the energy supply and consumption situation in various information systems and claim that there is a great potential to reduce energy wastes by making information systems more adaptive to traffic demands and QoS requirements, which makes SMILE possible. Then, the framework of Energy Informatics for Smart Interaction of Energy and Information (Einstein) is introduced and its technical challenges are highlighted.  Finally, we take the energy management in wireless networks with harvested energy as an example to demonstrate how to match energy to information flows and how to exploit information to energy flows. 

Zhisheng Niu graduated from Beijing Jiaotong University, China, in 1985, and got his M.E. and D.E. degrees from Toyohashi University of Technology, Japan, in 1989 and 1992, respectively.  During 1992-94, he worked for Fujitsu Laboratories Ltd., Japan, and in 1994 joined with Tsinghua University, Beijing, China, where he is now a professor at the Department of Electronic Engineering.  His major research interests include queueing theory, traffic engineering, mobile Internet, radio resource management of wireless networks, and green communication and networks. 
Dr. Niu has been an active volunteer for various academic societies, including Director for Asia-Pacific Board (2008-09), Director for Conference Publications (2010-11), and Chair of Emerging Technology Committee (2014-15) of IEEE Communication Society.  He has served as associate editor-in-chief of IEEE/CIC joint publication China Communications (2012-16) and editor of IEEE Wireless Communication (2009-13), and currently serving as area editor of IEEE Trans. Green Commun. & Networks. He also served as a distinguished lecturer (2012-15) of IEEE Communication Society and a distinguished lecturer (2014-16) of IEEE Vehicular Technologies Society. Dr. Niu received the Outstanding Young Researcher Award from Natural Science Foundation of China in 2009 and the Best Paper Award from IEEE Communication Society Asia-Pacific Board in 2013.  He was also the Chief Scientist of the National Basic Research Program (so called “973 Project”) of China on "Fundamental Research on the Energy and Resource Optimized Hyper-Cellular Mobile Communication System" (2012-2016), which is the first national project on green communications in China.  He is a fellow of both IEEE and IEICE.

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The 7th IET International Conference on Wireless, Mobile & Multimedia Networks (ICWMMN2017)