Title: High-Speed Optimization by Quantum Neural Networks and Applications to Wireless Communications
Speaker: Prof. Mikio Hasegawa, Tokyo University of Science, Japan
Biography:
Mikio Hasegawa received his B. Eng., M. Eng., and Dr. Eng. degrees from Tokyo University of Science, Tokyo, Japan, in 1995, 1997, and 2000, respectively. From 1997 to 2000, he was a Research Fellow at the Japan Society for the Promotion of Science (JSPS). From 2000 to 2007, he was with the Communications Research Laboratory (CRL), Ministry of Posts and Telecommunications, which was reorganized as the National Institute of Information and Communications Technology (NICT) in 2004. Currently, he is a Professor in the Department of Electrical Engineering, Tokyo University of Science. His research interests include mobile networks, cognitive radio networks, chaos, neural networks and optimization techniques. He is a member of IEICE and has served as an Associate Editor of the IEICE Transactions on Communications in 2006-2009, an Associate Editor of IEICE Communications Express in 2011-2017, a Chair of the IEICE Technical Committee on Complex Communication Sciences in 2013-2014, a Secretary of the IEICE Technical Committee on Nonlinear Problems in 2014-2016, and so on. He is also a member of IEEE and has served as a Secretary of the Chapter Operation Committee for the IEEE Japan Council. He received IEICE Communication Society: Distinguished Contributions Award in 2008 and 2009, Engineering Sciences Society: Contribution Award in 2014 and 2016, NOLTA Society: Contribution Award in 2016, Best Paper Award from IEICE Technical Committee on Software Defined Radio in 2011, Best Paper Award from IEICE Communication Society (IEICE Transactions on Communications) in 2015 and so on.
Abstract:
Coherent Ising machine (CIM) is a high-speed computing system having quantum feature. Several prototypes of the CIM have been developed and their high optimization performances have been shown theoretically and experimentally. The mutually connected neural networks can be applied to solution search in combinatorial optimization problems. By implementing the mutually connected neural networks on the CIM, various combinatorial optimization problems can be solved in high speed and in high accuracy. This keynote speech will introduce the optimization algorithms based on the mutually connected neural networks, which can be implemented on the CIM. The method to design the quantum neural network will be presented with application to several benchmark combinatorial optimization problems. The proposed method can be applied also to combinatorial optimization problems in various wireless communication systems. Several examples of the applications will be presented with simulation results.
12:25 - 13:10, October 31 (Keynote Speech 2)
Title: Merging Cloud and Air-Interface Capabilities to meet Requirements of Emerging Use Cases from Vertical Industries in 5G
Speaker: Thomas Haustein, Fraunhofer HHI, Germany.
Biography:
Thomas Haustein received the Dr.-Ing. (Ph.D.) degree in mobile communications from the University of Technology Berlin, Germany, in 2006. In 1997, he was with the Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute (HHI), Berlin, where he worked on wireless infrared systems and radio communications with multiple antennas and OFDM. He focused on real-time algorithms for baseband processing and advanced multiuser resource allocation. From 2006 till 2008, he was with Nokia Siemens Networks, where he conducted research for 4G. Since 2009 he is heading the Wireless Communications Department at Fraunhofer HHI focusing on 5G and Industrial Wireless. Since 2015 he is actively participating in 3GPP standardization advocating technology contributions for Millimeter wave communication and new use cases like Vehicular Communications and Industry 4.0.
Abstract:
The talk will be on requirements for Vehicular Communication as they are discussed in the context of standardization supporting safety relevant improvements for assisted, automated and autonomous driving. Considering existing approaches in IEEE and 3GPP, it remains an open question how to structure the ongoing discussions on requirements related to V2X communication such that a communication system will be feasible cost wise, complexity wise and time wise. Examples of current SOTA system solution components will be addressed.
