2017 International Workshop on Advances in Information Coding and Wireless Communications (AICWC'2017)
Information theory and coding techniques play a very important role in various aspects of wireless communications. The aim of this international workshop is to foster fruitful interactions among leading information theorists, coding experts, signal and system designers, wireless communication experts, and communications practitioners. In this workshop, we are fortunate to have invited a number distinguished scholars all over the world. In addition to the invited talks, two panels are also organized, i.e. "Challenges & Opportunities in Information Coding" and "Challenges & Opportunities in Wireless Communications". All the participants are invited to join our panel discussions by questions and debate, to explore the challenges and opportunities in information coding and wireless communications.
Date and Time
Location
Hosts
Registration
- Start time: 05 Nov 2017 08:45 PM
- End time: 07 Nov 2017 05:30 PM
- All times are (UTC+08:00) Chongqing
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- Xipu Campus
- Southwest Jiaotong University
- Chengdu, Sichuan
- China 611756
- Building: Multifunctional Hall, Admin Building
- Room Number: #148
- Click here for Map
- Contact Event Host
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Xuming Fang, Chair of IEEE VTS Chengdu Chapter, xmfang@swjtu.edu.cn, Tel: 13550130506
- Co-sponsored by Xuming Fang
- Survey: Fill out the survey
- Starts 04 November 2017 08:00 AM
- Ends 06 November 2017 08:00 AM
- All times are (UTC+08:00) Chongqing
- No Admission Charge
Speakers
Erdal Panayirci
Index Modulation Techniques for 5G and Beyond Wireless Communications
Increasing demand for higher data rates, better quality of service (QoS) and fully mobile and connected wireless networks necessitate new solutions beyond 4G wireless systems. 5G wireless networks will achieve 10 times higher spectral efficiency energy efficiency than current 4G wireless networks and will support data rates up to 10 Gbps. Dramatic changes in the design of different layers for 5G communications systems are inevitable. Strong candidates for the physical layer design of 5G networks: Massive multiple-input multiple-output (MIMO) systems, Filter bank multicmarrier (FBMC) modulation, Relaying technologies, Millimeter wave communications. In this presentation, we deal with the potential and implementation of index modulation (IM) techniques for MIMO and multicarrier communications systems which are expected to be two of the key technologies for 5G systems.
Biography:
Erdal Panayirci (IEEE Fellow) received the Diploma Engineering degree in Electrical Engineering from Istanbul Technical University, Istanbul, Turkey and the Ph.D. degree in Electrical Engineering and System Science from Michigan State University, USA. Until 1998 he has been with the Faculty of Electrical and Electronics Engineering at the Istanbul Technical University, where he was a Professor and Head of the Telecommunications Chair. Currently, he is Professor of Electrical Engineering and Head of the Electronics Engineering Department at Kadir Has University, Istanbul, Turkey. Dr. Panayirci’s recent research interests include communication theory, synchronization, advanced signal processing techniques and their applications to RF, underwater and optical wireless communications. He has published extensively in leading scientific journals and international conference and co-authored the book Principles of Integrated Maritime Surveillance Systems (Boston, Kluwer Academic Publishers, 2000). Dr. Panayırcı spent the academic year 2008-2009 at the Department of Electrical Engineering, Princeton University, New Jersey, USA, working on new channel estimation and equalization algorithms for high mobility WIMAX and LTE systems. He has been the principal coordinator of a 6th and 7th Frame European project called NEWCOM (Network of Excellent on Wireless Communications) and WIMAGIC Strep project for two years, representing Kadir Has University. Prof. Panayirci was an Editor for IEEE Transactions on Communications in the areas of Synchronizations and Equalizations in 1995-2000. He served as a Member of IEEE Fellow Committee in 2005-2008. He was the Technical Program Co-Chair of the IEEE International Conference on Communications (ICC-2006) and the Technical Program Chair of the IEEE PIMRC held in Istanbul, Turkey both held in Istanbul in 2006 and 2010, respectively. He was the Executive Vice Chairman of the IEEE Wireless Communications and Networking Conference (WCNC) held in Istanbul in April 2014.
Email:
Address:Kadir Has University, , Istanbul, Istanbul, Türkiye
Kato Nei
The Deep Learning Vision for Heterogeneous Network Traffic Control: Proposal, Challenges and Future Perspective
Recently, deep learning, an emerging machine learning technique, is garnering a lot of research attention in several computer science areas. However, to the best of our knowledge, its application to improve heterogeneous network traffic control which is an important and challenging area for IoT by its own merit has yet to appear because of the difficult challenge in characterizing the appropriate input and output patterns for a deep learning system to correctly reflect the highly dynamic nature of large-scale heterogeneous networks. In this talk, an appropriate input and output characterizations of heterogeneous network traffic will be introduced and a supervised deep neural network system will be proposed. I will describe how our proposed system works and how it differs from traditional neural networks. Also, preliminary results will be discussed and I will demonstrate the encouraging performance of our proposed deep learning system compared to a benchmark routing strategy (Open Shortest Path First (OSPF)) in terms of significantly better signaling overhead, throughput, and delay.
Biography:
Nei Kato (IEEE Fellow) is a professor and the Director of Research Organization of Electrical Communication(ROEC), Tohoku University, Japan. He has been engaged in research on computer networking, wireless mobile communications, satellite communications, ad hoc & sensor & mesh networks, smart grid, IoT, Big Data, and pattern recognition. He has published more than 350 papers in prestigious peer-reviewed journals and conferences. He is the Vice-President-Elect(Member & Global Activities) of IEEE Communications Society(2018-2019), the Editor-in-Chief of IEEE Transactions on Vehicular Technology(2017-), the Editor-in-Chief of IEEE Network Magazine(2015-2017), the Associate Editor-in-Chief of IEEE Internet of Things Journal(2013-), and the Chair of IEEE Communications Society Sendai Chapter. His awards include Minoru Ishida Foundation Research Encouragement Prize(2003), Distinguished Contributions to Satellite Communications Award from the IEEE Communications Society, Satellite and Space Communications Technical Committee(2005), the FUNAI information Science Award(2007), the TELCOM System Technology Award from Foundation for Electrical Communications Diffusion(2008), the IEICE Network System Research Award(2009), the IEICE Satellite Communications Research Award(2011), the KDDI Foundation Excellent Research Award(2012), IEICE
Communications Society Distinguished Service Award(2012), IEICE Communications Society Best Paper Award (2012), Distinguished Contributions to Disaster-resilient Networks R&D Award from Ministry of Internal Affairs and Communications, Japan(2014), Outstanding Service and Leadership Recognition Award 2016 from IEEE Communications Society Ad Hoc & Sensor Networks Technical Committee, Radio Achievements Award from Ministry of Internal Affairs and Communications, Japan (2016) and Best Paper Awards from IEEE ICC/GLOBECOM/WCNC/VTC. Nei Kato is a Distinguished Lecturer of IEEE Communications Society and Vehicular Technology Society. He is a fellow of IEEE and IEICE.
Email:
Address:Graduate School of Information Sciences, Tohoku University, Sendai, Japan