IEEE International Conference on Communications
20-24 May 2018 // Kansas City, MO, USA
Communications for Connecting Humanity

Keynotes

Key note AM: Spectrum sharing and networking issues in 5G mmWave cellular networks (PDF)

Abstract: This talk will discuss some relevant networking issues for 5G mmWave cellular systems. First, we will give an extensive discussion on the potential benefits and technical challenges of spectrum sharing in a mmWave context. We will show that from this points of view this scenario is much more promising than traditional cellular systems in sub-6 GHz bands. We will also discuss the role of coordination between different operators for the purpose of managing the inter- and intra-system interference, which is shown to be the ultimate limiting factor in spectrum sharing. Second, we will discuss how directionality makes it more difficult to implement and operate network management functionalities, with specific reference to Initial Access and Cell Search, where the energy/latency/detection tradeoff is of particular interest. Finally, we will briefly describe our full-stack 5G mmWave cellular simulator, which includes the whole protocol suite as well as detailed mmWave channel models, and present some examples of system-level results it can provide.

 

Biography: Prof. Michele ZORZI received his Laurea and Ph.D. degrees in electrical engineering from the University of Padova in 1990 and 1994, respectively. During academic year 1992/1993 he was on leave at the University of California San Diego (UCSD). After being affiliated with the Dipartimento di Elettronica e Informazione, Politecnico di Milano, Italy, the Center for Wireless Communications at UCSD, and the University of Ferrara, in November 2003 he joined the faculty of the Information Engineering Department of the University of Padova, where he is currently a professor. His present research interests include performance evaluation in mobile communications systems, random access in mobile radio networks, ad hoc and sensor networks and IoT, energy constrained communications protocols, 5G millimeter-wave cellular systems, and underwater communications and networking. He was Editor-in-Chief of IEEE Wireless Communications from 2003 to 2005, Editor-in-Chief of IEEE Transactions on Communications from 2008 to 2011, and is currently the founding Editor-in-Chief of IEEE Transactions on Cognitive Communications and Networking. He was Guest Editor for several Special Issues in IEEE Personal Communications, IEEE Wireless Communications, IEEE Network, and IEEE JSAC. He served as a Member-at-Large in the Board of Governors of the IEEE Communications Society from 2009 to 2011, and as its Director of Education from 2014 to 2015. He is a Fellow of the IEEE.

 

Key note PM: Cooperative Perception realized by Millimeter-wave V2V2X for Automated Driving (PDF)

Abstract: Automated driving is considered as one of three largest applications in 5G cellular networks. There are two types of automated (or autonomous) driving. One is egoistic type using only self mounted sensors, and the other is cooperative type using extended sensors mounted on RSUs (Road Side Units) and other vehicles. It is obvious that the cooperative type (cooperative perception) is effective in complex urban environments to solve problems of blocking due to surrounding vehicles and buildings. In this paper, an extended system architecture for 5G cellular networks is introduced to realize such cooperative perception. The important elements in the extended system architecture are millimeter-wave (mmWave) V2V2X (Vehicle-to-Vehicle-to-Everything Relay) and MEC (Mobile (Multi-access) Edge Computing). The mmWave V2V2X is used to realize ultra high data rate communication among vehicles and RSUs to exchange sensing data of e.g. LiDAR (Light Detection and Ranging), and the MEC is used for fusion of dynamic maps measured by extended sensors. In this paper, safeness of automated driving is evaluated by considering a scenario of overtaking vehicle by changing vehicular velocity and data rate of sensing data (LiDAR).

 

Biography: Prof. Kei SAKAGUCHI received the M.E. degree in Information Processing from Tokyo Institute of Technology in 1998, and the Ph.D degree in Electrical & Electronics Engineering from Tokyo Institute Technology in 2006. Currently, he is a Professor at Tokyo Institute of Technology in Japan and at the same time he is working at Fraunhofer HHI in Germany as a Scientific Consultant. He received the Outstanding Paper Awards from SDR Forum and IEICE in 2004 and 2005 respectively, and three Best Paper Awards from IEICE communication society in 2012, 2013, and 2015. He also received the Tutorial Paper Award from IEICE communication society in 2006. He served as a General co-chair in the IEEE WDN-5G in 2018 and an Industrial Panel co-chair in the IEEE Globecom in 2017. His current research interests are in 5G cellular networks, millimeter-wave communications, and wireless energy transmission. He is a member of IEEE and IEICE.

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