Welcome to Workshop on Advances in Wireless Communications 2017  (WAWC 2017).

Date: 13:30 - 18:00 Tuesday, July 18, 2017.

Location: Conference hall, Yifu Science and Technology Museum, Southeast University, Nanjing, China.

Co-Chairs: Prof. Fu-Chun Zheng and Prof. Geoffrey Ye Li

Workshop opening: 13:30-13:45, Prof. Xiaohu You

Energy savings in cellular systems is increasingly important due to the ever-deteriorating global warming. Heterogeneous networks (HetNets) composed of various tiers of cells can achieve energy savings thanks to the lower operational and transmit power consumptions of small cells. To address the inter-cell interference yet achieving network energy conservation, green multicell clustering facilitating base station (BS) sleeping control and coordinated multipoint (CoMP) clustering paves a way toward future green HetNets. To further alleviate the induced backhaul power consumption induced by content fetching, proactively caching popular files at BSs' storages is regarded as a viable solution. In this talk, we will introduce how to achieve the cache-enabled green multicell clustering in HetNets, and explain how to approach this goal through three phases. In the first phase, we investigate the green multicell clustering problem, show its NP-hardness, and provide an efficient way to solve it approximately. In the second and third phases, we extend the green multicell clustering problem to the cases of BSs equipped with independent and shareable caches, respectively. We show that each of the extended problems is decomposable into sub-problems, which are connected with the design principles of the first phase. Finally, we will demonstrate how the proposed solution outperforms various dynamic clustering approaches. The impacts of content popularity and storage size on the backhaul power consumption, and the gap between independent and shareable caching are also displayed.

Prof. Liao is a Distinguished Professor of Electrical Engineering Department, National Taiwan University (NTU), Taipei, Taiwan, and an Adjunct Research Fellow of Research Center for Information Technology Innovation, Academia Sinica, Taiwan. Her research is focused on the design and analysis of wireless networking, cloud networking, edge computing, and green communications. Prof. Liao was on the editorial boards of IEEE Transactions on Wireless Communications and IEEE Transactions on Multimedia, and is on the Steering Committee of IEEE Transactions on Mobile Computing. She has been very active in IEEE Communications Society, serving as an IEEE Communications Society Distinguished Lecturer (2011-2012), IEEE Fellow Committee member (2013-2015), IEEE ComSoc Fellow Evaluation Committee (2016-2018), IEEE Award Board Award Review Committee (2016), and the IEEE Communications Society Director for Asia Pacific Region (2014-2015). Dr. has also served on the organizing committees of many international conferences, including serving as TPC Vice Chair of IEEE GLOBECOM 2005 Symposium on Autonomous Networks, TPC Co-Chair of IEEE GLOBECOM 2007 General Symposium, TPC Co-Chair of IEEE VTC 2010 Spring, TPC Co-Chair of IEEE ICC 2010 Next Generation Networking and Internet Symposium, and TPC Co-Chair of IEEE PIMRC 2015. Prof. Liao has published more than 180 journal and conference papers and received many research awards and recognitions from different government and professional organizations. She is a Fellow of the IEEE.

Many-objective optimization problems (ManyOPs) pose new challenges to existing multi-objective evolutionary algorithms (MOEAs) in terms of convergence, diversity, and computational complexity. This talk presents a personal view towards various strategies and methods for coping with many objectives, from simple ideas of more efficient non-dominated sorting and nonlinear dimensionality reduction, to other simple ideas of a two-archive algorithm (i.e., Two_Arch2), which use two separate archives to focus on convergence and diversity respectively. Different selection principles (indicator-based and Pareto-based) are used in the two archives. A new Lp-norm based diversity maintenance scheme is introduced. Interestingly, such a simple idea of two archives has turned out to be very useful also in dealing with a dynamic number of objectives, a new research topic just appeared this year.

Prof. Xin Yao is a Chair Professor of Computer Science at Southern University of Science and Technology (SUSTech), Shenzhen, China, and at the School of Computer Science of the University of Birmingham, UK. He is an IEEE Fellow and a Distinguished Lecturer of IEEE Computational Intelligence Society (CIS). He previously served as the Editor-in-Chief (2003-08) of IEEE Transactions on Evolutionary Computation and the President (2014-15) of IEEE CIS. His main research interests include evolutionary computation, ensemble learning, and their applications, especially in software engineering. His papers won the 2001 IEEE Donald G. Fink Prize Paper Award, 2010, 2016 and 2017 IEEE Transactions on Evolutionary Computation Outstanding Paper Awards, 2010 BT Gordon Radley Award for Best Author of Innovation (Finalist), 2011 IEEE Transactions on Neural Networks Outstanding Paper Award, and many other best paper awards. He won the prestigious Royal Society Wolfson Research Merit Award in 2012 and the IEEE CIS Evolutionary Computation Pioneer Award in 2013.

Energy and spectrum efficiency have been the main focus in development of new technologies for wireless communications for many years. In addition to those parameters, efficient traffic control is also becoming a critical design factor for future 5G and Internet-of-Things (IoT) networks as we approach ultra-dense cellular and non-cellular wireless networks. One reason behind formation of ultra-dense networks is the fact that until now the problem of increasing per-user capacity and spectral efficiency has been overcome by making cells smaller and bringing base stations closer to mobile hosts. This approach reduces the number of users per cell and improves per link SNR. By making cells smaller, it is also possible to reduce the transmission power; thus, creating more energy efficient networks than the traditional large-cell counterparts. Those works however did not pay sufficient attention to the network traffic control, which could result in an unacceptable level of latency in the network. With the emergence of highly delay sensitive applications such as connected vehicles and driverless cars, we need to make sure that not only the spectrum and energy are used efficiently, traffic is also well controlled and the network delay is kept at extremely low levels. In this talk, the three factors of energy, spectrum, and traffic load will therefore become the basis for the introduction of some critical new technologies that will facilitate reliable and scalable operation of the 5G and IoT networks.

Abbas Jamalipour is the Professor of Ubiquitous Mobile Networking at the University of Sydney, Australia, and holds a PhD in Electrical Engineering from Nagoya University, Japan. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), a Fellow of the Institute of Electrical, Information, and Communication Engineers (IEICE) and a Fellow of the Institution of Engineers Australia, an ACM Professional Member, and an IEEE Distinguished Lecturer. He is the Deputy Director of the Centre of Excellence in Telecommunications, Director of the Wireless Networking Lab (WiNG), and the Head of School of Electrical and Information Engineering at the University of Sydney. He is the author of six technical books, 11 book chapters, and over 450 technical papers in scholarly journals and international conferences, as well as five patents, all in the area of wireless communications. He is the recipient of many prestigious awards, notably, the 2016 Distinguished Technical Achievement Award in Communications Switching, and Routing, the 2010 IEEE ComSoc Harold Sobol Award, the 2010 Royal Academy of Engineering UK Distinguished Fellowship, the 2006 IEEE ComSoc Distinguished Contribution to Satellite Communications Award, the 2006 IEEE ComSoc Best Tutorial Paper Award, and 15 best paper awards. He is one of the most cited researchers in the field of mobile and cellular networks. He was the Editor-in-Chief IEEE Wireless Communications, Vice President-Conferences, and a member of Board of Governors of the IEEE Communications Society. Prof. Jamalipour is an elected member of the Board of Governors since 2014, Chair of theFellow Evaluation Committee, and the Editor-in-Chief of the Mobile World, IEEE Vehicular Technology Society. He has been a General Chair or Technical Program Chair for a number of conferences, including IEEE ICC, GLOBECOM, WCNC and PIMRC.

Connected things in various cyber-physical systems (CPSs) such as IoTs and smart cities enable us to sense physical environments, extract intelligent information, and better regulate physical systems we heavily depend on in our daily life. This has also generated tremendous traffic burden on our existing telecommunications infrastructure, resulting in significant spectrum shortage. Moreover, it has been witnessed that battery-powered devices such as our smart phones tend to deplete their energy much faster than before and this trend will continue if not carefully considering network-wide power consumption. Furthermore, heterogeneity in network technologies and devices and the lack of comprehensive study on interdependency in a system of systems have also caused serious concerns on security and privacy. How to take a holistic approach to carefully examine network-wide issues on spectrum, energy and security is of paramount importance. In this talk, the speaker will discuss various related problems and challenges in a connected world and then present a novel collaborative network solution to enabling connected things to effectively harvest in-network capability (spectrum, energy, storage, and computing power) in a cognitive fashion to intelligently manage the spectrum efficiency, energy efficiency, and yes, security!

Dr. Yuguang Michael Fang received MS degree from Qufu Normal University, Shandong, China in 1987, PhD degree from Case Western Reserve University in 1994 and PhD degree from Boston University in 1997. He was an assistant professor in Department of Electrical and Computer Engineering at New Jersey Institute of Technology from 1998 to 2000. He then joined the Department of Electrical and Computer Engineering at University of Florida in 2000 and has been a full professor since 2005. He held a University of Florida Research Foundation (UFRF) Professorship from 2006 to 2009, a University of Florida Term Professorship from 2017 to 2019, a Changjiang Scholar Chair Professorship with Xidian University from 2008 to 2011 and with Dalian Maritime University since 2016, Overseas Academic Master, Dalian University of Technology since 2016, and a Guest Chair Professorship with Tsinghua University from 2009 to 2012. Dr. Fang received the US National Science Foundation Career Award in 2001 and the Office of Naval Research Young Investigator Award in 2002, 2015 IEEE Communications Society CISTC Technical Recognition Award, 2014 IEEE Communications Society WTC Recognition Award, and multiple Best Paper Awards from IEEE Globecom (2015, 2011 and 2002) and IEEE ICNP (2006). He has also received 2010-2011 UF Doctoral Dissertation Advisor/Mentoring Award, 2011 Florida Blue Key/UF Homecoming Distinguished Faculty Award, and the 2009 UF College of Engineering Faculty Mentoring Award. He has been the Editor-in-Chief of IEEE Transactions on Vehicular Technology since 2013, was the Editor-in-Chief of IEEE Wireless Communications (2009-2012), and serves/served on several editorial boards of journals including IEEE Transactions on Mobile Computing (2003-2008, 2011-present), IEEE Transactions on Communications (2000-2011), and IEEE Transactions on Wireless Communications (2002-2009). He has been actively participating in conference organizations such as serving as the Technical Program Co-Chair for IEEE INFOCOM'2014 and the Technical Program Vice-Chair for IEEE INFOCOM'2005. He is a fellow of the IEEE (2008) and a fellow of the American Association for the Advancement of Science (AAAS) (2015).

WAWC 2015:http://ncrl.seu.edu.cn/misc/WAWC2015/