Tutorials
October 15 (Monday), 2012 - 14:00PM-16:00PM
Tutorial #1:
"Green Radio: Approaches and Performance Analysis"
(Prof. Jinho Choi, Swansea University, UK)
Abstract:
Energy efficiency plays a crucial role in designing future wireless systems due to soaring energy prices as well as increasing environmental problems. In this tutorial, we aim at explaining the fundamental energy-delay tradeoff (EDT) of signal transmissions in wireless communications. We will show that transmission schemes can be characterized by EDT curves, which allow us to see their energy efficiency in terms of effective delay (or throughput). EDT curves could be important tools to choose transmission schemes depending on applications based on their energy efficiencies. We will also demonstrate applications of EDT curves to multiuser systems and relay systems in order to see their energy efficiency using a particular transmission scheme, which is the hybrid automatic repeat request protocol with incremental redundancy (HARQ-IR).
Short Biography:
Energy efficiency plays a crucial role in designing future wireless systems due to soaring energy prices as well as increasing environmental problems. In this tutorial, we aim at explaining the fundamental energy-delay tradeoff (EDT) of signal transmissions in wireless communications. We will show that transmission schemes can be characterized by EDT curves, which allow us to see their energy efficiency in terms of effective delay (or throughput). EDT curves could be important tools to choose transmission schemes depending on applications based on their energy efficiencies. We will also demonstrate applications of EDT curves to multiuser systems and relay systems in order to see their energy efficiency using a particular transmission scheme, which is the hybrid automatic repeat request protocol with incremental redundancy (HARQ-IR).
Short Biography:
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Jinho Choi was born in Seoul, Korea. He received B.E. (magna cum laude) degree in electronics engineering in 1989 from Sogang University, Seoul, and the M.S.E. and Ph.D. degrees in electrical engineering from Korea Advanced Institute of Science and Technology (KAIST), Daejeon, in 1991 and 1994, respectively. He is now with the College of Engineering, Swansea University, United Kingdom, as a Professor/Chair of Wireless. His research interests include wireless communications and array/statistical signal processing. He authored two books published by Cambridge University Press in 2006 and 2010. Prof. Choi received the 1999 Best Paper Award for Signal Processing from EURASIP, 2009 Best Paper Award from WPMC (Conference), and is Senior Member of IEEE. Currently, he is an Associate Editor of IEEE Communications |
Letters and an Editor of Journal of Communications and Networks (JCN) since 2005 and served as an Associate Editor of IEEE Transactions on Vehicular Technology from 2005 to 2007 and ETRI journal.
October 16 (Tuesday) - 13:30PM-15:30PM
Tutorial #2:
"Human mobility patterns: measurements, models and implications"
(Prof. Song Chong, KAIST, Korea)
Abstract:
Human mobility is critically important in many academic disciplines, ranging communication networking research to epidemiology and urban planning. The purpose of studying human mobility patterns in networking research community is its use in simulating and predicting the performance of mobile networks of wireless devices carried by people. In particular, how people encounter access infrastructure as well as each other determine communication opportunities in opportunistic networks such as DTNs (Disruption-Tolerant Networks). While the concept and potential of opportunistic networks are attractive, the fundamental question is whether or not real human mobility patterns in our daily life can provide sufficient number of communication opportunities to enable end-to-end packet delivery with an acceptable range of delays. In this tutorial, we address the need of opportunistic networks, and review what have been studied recently to understand the human mobility patterns in this emerging technology context. One of the key findings of these studies is that actual human mobility patterns and the corresponding inter-contact time distributions are very different from those simulated by widely-used mobility models such as random way point model and Brownian motion model. Moreover, they resemble a truncated form of Levy walks commonly observed in animals such as monkeys, birds and jackals, exhibiting super-diffusion. We also review some of recent research results on why human mobility patterns appear to resemble truncated Levy walks and the capacity-delay tradeoff of mobility-driven opportunistic networks under Levy mobility. Finally, we illustrate the significance of human mobility in opportunistic networks by showing an example that human mobility can effectively offload mobile data traffic from 3G networks to WiFi networks.
Short Biography:
Human mobility is critically important in many academic disciplines, ranging communication networking research to epidemiology and urban planning. The purpose of studying human mobility patterns in networking research community is its use in simulating and predicting the performance of mobile networks of wireless devices carried by people. In particular, how people encounter access infrastructure as well as each other determine communication opportunities in opportunistic networks such as DTNs (Disruption-Tolerant Networks). While the concept and potential of opportunistic networks are attractive, the fundamental question is whether or not real human mobility patterns in our daily life can provide sufficient number of communication opportunities to enable end-to-end packet delivery with an acceptable range of delays. In this tutorial, we address the need of opportunistic networks, and review what have been studied recently to understand the human mobility patterns in this emerging technology context. One of the key findings of these studies is that actual human mobility patterns and the corresponding inter-contact time distributions are very different from those simulated by widely-used mobility models such as random way point model and Brownian motion model. Moreover, they resemble a truncated form of Levy walks commonly observed in animals such as monkeys, birds and jackals, exhibiting super-diffusion. We also review some of recent research results on why human mobility patterns appear to resemble truncated Levy walks and the capacity-delay tradeoff of mobility-driven opportunistic networks under Levy mobility. Finally, we illustrate the significance of human mobility in opportunistic networks by showing an example that human mobility can effectively offload mobile data traffic from 3G networks to WiFi networks.
Short Biography:
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Song Chong received the B.S. and M.S. degrees in Control and Instrumentation Engineering from Seoul National University, Seoul, Korea, in 1988 and 1990, respectively, and the Ph.D. degree in Electrical and Computer Engineering from the University of Texas at Austin in 1995. Since March 2000, he has been with the Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, where he is a Professor and was the Head of the Communications and Computing Group of the department. Prior to joining KAIST, he was with the Performance Analysis Department, AT&T Bell Laboratories, New Jersey, as a Member of Technical Staff. His current research interests include wireless networks, future Internet, human mobility and its applications to mobile networks. He has published more |
than 100 papers in international journals and conferences. He is an Editor of Computer Communications journal and Journal of Communications and Networks. He serves on the Steering Committee of WiOpt and was the General Chair of WiOpt '09.