The following lectures will be held on Mar 24 at Hokkaido University.
Fri Mar 24, 2017, 10:30-12:00, 13:00-14:30, 14:45-16:15
Graduate School of Information Science and Technology Building,
Lecture 1 — Fri Mar 24, 2017, 10:30-12:00 —
Research into Radio Environment Maps for Emerging 5G and IoT Networks
Eryk Dutkiewicz, Dr., Professor School of Computing and Communications University of Technology Sydney, Australia
The high demand for wireless Internet including emerging Internet of Things (IoT) applications is putting extreme pressure on better utilisation of the available radio spectrum. The expected spectrum "crunch" requires highly efficient radio resource management schemes with low complexity and high responsiveness to the changing network conditions. Spectrum sharing is regarded as an essential approach to regaining access to otherwise unused spectrum and it is considered an essential component in the development of IoT and 5G networks. Spectrum sharing can be conducted at different time scales. As the time scale of the operation of spectrum sharing decreases, the possibility for utilising more available spectrum holes increases. However, the shorter time scale brings with it challenges. Efficient decisions regarding the use of spectrum sharing require accurate knowledge of the spatial and temporal spectrum use in a geographical area of interest. This knowledge can be represented in Radio Environment Maps which need to be generated efficiently and accurately. In this presentation we give an overview of the spectrum sharing concept and its emergence in standards activities for IoT and 5G networks. We also present our research on spectrum sharing including theoretical methods for efficient and accurate generation of Radio Environmental Maps and radio spectrum measurements campaigns on UTS campus in Sydney to enable Smart Building and Smart City IoT applications.
Professor Eryk Dutkiewicz obtained his PhD (Telecommunications) from the University of Wollongong, Australia in 1996. From 1999 to 2004 he worked at Motorola Laboratories in Sydney where he managed a wireless research laboratory. During that time he was also deeply involved in the development of the popular WiFi technology. He is currently the Head of School of Computing and Communications at the University of Technology Sydney in Australia. He has held visiting professorial appointments at the Chinese Academy of Sciences, Shanghai Jiao Tong University, City University of Hong Kong and Coventry University in the UK. He is an author of over 200 research papers and several book chapters. His professional activities in recent years included participation on various International Steering Committees. He is the General Chair of IEEE VTC 2017-Spring in Sydney.
Lecture 2 — Fri Mar 24, 2017, 13:00-14:30 —
Markov Modelling: from Wi-Fi to 5G and Beyond
Ren Ping Liu, Dr., Professor School of Computing and Communications University of Technology Sydney, Australia
Markov chain is the main analytical tool for IEEE 802.11 modelling and analysis. However, existing 2-dimensional (2-D) Markov chain models of Wi-Fi systems are unable to capture the complete QoS performance and queueing behaviour due to the lack of an adequate finite buffer model. We propose a 3-dimensional (3-D) Markov chain that integrates the 802.11 system contention resolution and queueing processes into one model. The 3rd dimension, that models the queue length, allows us to accurately capture important QoS measures, delay and loss, plus throughput and queue length, for realistic 802.11 systems with finite buffer under finite load.
The Markov theory has since been extended and applied in other areas, leading to many research outcomes, including vehicular networks (VANET), WiFi localization, energy efficient design in the Internet of Things (IoT), and recently coexistence design and analysis of LTE in unlicensed spectrum under the LAA/5G framework.
Ren Ping Liu is a Professor at the School of Computing and Communications in University of Technology Sydney, where he leads Network Security Lab in the Global Big Data Technologies Centre. Prior to that he was a Principal Scientist at CSIRO, where he led wireless networking research. He specialises in network design and modelling, and has delivered networking solutions to a number of government agencies and industry customers. Professor Liu was the winner of Australian Engineering Innovation Award and CSIRO Chairman’s medal. Professor Liu has over 100 research publications, and has supervised over 30 PhD students. His research interests include 5G spectrum sharing, resource management, IoT energy efficient design, and network security.
Professor Liu is the founding chair of IEEE NSW VTS Chapter and a Senior Member of IEEE. He served as TPC chair for BodyNets2015, ISCIT2015, WPMC2014, as OC co-chair for VTC2017-Spring, BodyNets2014, ICUWB2013, ISCIT2012, SenSys2007, and in Technical Program Committee in a number of IEEE Conferences. Ren Ping Liu received his B.E.(Hon) and M.E. degrees from Beijing University of Posts and Telecommunications, China, and the Ph.D. degree from the University of Newcastle, Australia.
Lecture 3 — Fri Mar 24, 2017, 14:45-16:15 —
Achieving High-Speed Aerial Backbone Transmission for Air-Space-Ground Integrated Information Networks
Xiaojing Huang, Dr., Professor School of Computing and Communications University of Technology Sydney, Australia
Air-space-ground integrated communication and networking is one of the most important targets of global research and development efforts. High-speed aerial backbones are the key components of such space information networks since they interconnect the spaceborne, airborne and ground based transmission platforms to form a seamless communications system. Currently, there have been some significant advances in spaceborne based communications networks. As the 5G mobile system emerges, ground based networks are also becoming more and more mature. However, there are still significant challenges in achieving high-speed aerial backbone links for the airborne based communications networks. This presentation gives a brief overview of current state-of-the-art in airborne based backbone technologies, and discusses how to realize high-speed transmission for air-to-air links and air-to-ground links from a high-altitude aerial platform using millimetre wave, multiple input multiple output, and full-duplex technologies. Research directions for achieving low cost and high flexibility aerial backbones using unmanned aerial vehicles are also suggested.
Xiaojing Huang received the B.Eng., M.Eng., and Ph.D. degrees in electronic engineering from Shanghai Jiao Tong University, Shanghai, China, in 1983, 1986, and 1989, respectively. He is currently a Professor of information and communications technology with the School of Computing and Communications and the Program Leader of Mobile Sensing and Communications with the Global Big Data Technologies Center, University of Technology Sydney (UTS), Sydney, Australia.
He was a Principal Research Engineer with the Motorola Australian Research Center from 1998 to 2003, and an Associate Professor with the University of Wollongong, Wollongong, Australia, from 2004 to 2008. He has been a Principal Research Scientist with the Commonwealth Scientific and Industrial Research Organisation (CSIRO), Sydney, Australia, and the Project Leader of the CSIRO Microwave and mmWave Backhaul projects since 2009. He was a recipient of the CSIRO Chairman’s Medal and the Australian Engineering Innovation Award in 2012 for exceptional research achievements in multigigabit wireless communications. With over 28 years of combined industrial, academic, and scientific research experience, he has authored over 250 book chapters, refereed journal and conference papers, major commercial research reports, and has filed 29 patents.
Professor Xiaojing Huang has served as Technical Program Committee Chairs and/or Co-Chairs for a number of international conferences such as ISCIT (2007,2010, 2012-2014, and 2016), ICUWB2013, WPMC2014, and VTC2017-Spring.
IEICE Hokkaido Section, IEEE Sapporo Section
Yoshikazu Miyanaga, Professor
Graduate School of Information Science and Technology,