Keynote I: Recent Advances in Fog Radio Access Networks for Beyond 5G

Prof. Mugen Peng, Beijing University of Posts and Telecommunications

ABSTRACT: The fifth generation (5G) wireless communication systems are anticipated to provide high spectral and energy efficiency, as well as low latency and massive connections. To achieve these goals, a fog radio access network (F-RAN) architecture has been presented as the advanced wireless access network paradigm, in which edge cloud computing is used to fulfill the distributed cooperative processing and delivering the local content for decreasing the latency and burdens on the fronthaul/backhaul. The state-of-the-art research achievements in aspects of system architecture and key technologies for F-RANs are briefly introduced in this talk. In particular, the system architecture evolution from C-RANs and H-CRANs to F-RANs will be discussed, and the key technologies including the edge cache driven performance analysis and cooperative radio resource allocation will be presented. Some challenges and open issues will be discussed.

BIOGRAPHY: Mugen Peng received the Ph.D. degree in communication and information systems from the Beijing University of Posts and Telecommunications (BUPT), Beijing, China, in 2005. Afterward, he joined BUPT, where he has been a Full Professor with the School of Information and Communication Engineering since 2012. During 2014 he was also an academic visiting fellow at Princeton University, USA. He leads a Research Group focusing on wireless transmission and networking technologies in BUPT. He has authored and co-authored over 100 refereed IEEE journal papers and over 200 conference proceeding papers. His main research areas include wireless communication theory, radio signal processing, cooperative communication, self-organization networking, heterogeneous networking, cloud communication, and Internet of Things. Dr. Peng was a recipient of the 2018 Heinrich Hertz Prize Paper Award, the 2014 IEEE ComSoc AP Outstanding Young Researcher Award, and the Best Paper Award in the JCN 2016, IEEE WCNC 2015, IEEE GameNets 2014, IEEE CIT 2014, ICCTA 2011, IC-BNMT 2010, and IET CCWMC 2009. He is currently or have been on the Editorial/Associate Editorial Board of the IEEE Communications Magazine, IEEE ACCESS, IEEE Internet of Things Journal, IET Communications, and China Communications.

Keynote II: The Research on the Security Risk Points of the Internet of Vehicles (IoV) under the 5G Environments

Prof. Yongjian Wang, National Computer Network and Information Security Management Center

ABSTRACT: With the 5G’s application for the Internet of Vehicles for the future times, many security risk will arise because of the new 5G who more focus on high speed. Firstly, we give the development status of the Iov and its future. Then we analyze the security risk points of the Iov under the 5G environments and give the harm of these points. The need for the surveillance for these risks points will be considered for the national security’s requirement. Some surveillance technology are given and introduced in this report. At last, we give the conclusion for the demand on these risks will occur in the IOV with the 5G’s coming.

BIOGRAPHY: Wang Yongjian, Ph.D., postdoctor, professor of National Computer Network and Information Security Management Center, deputy director of Beijing engineering laboratory of vehicle network security simulation and attack&defense technology, evaluation expert of National Natural Science Foundation, and part-time doctoral tutor of Beijing Institute of Technology. One of the well-known experts in the field of IoT security in China. He has written 4 national standards (to be released), published more than 30 academic papers (mostly searched by SCI/EI), undertook 3 national natural science funds and 5 other funds.

Keynote III: Wireless Power Transfer in Cognitive Radio and Multicarrier Communications

Prof. Xin Liu, Dalian University of Technology, Dalian, China

ABSTRACT: Spectrum sensing in cognitive radio (CR) may consume some circuit energy because of AD sampling, which can decrease the stored energy for data transmission. The sensing energy consumption rises with the increase of sampling nodes. Wireless power transfer technology has been proposed, which can collect the radio frequency (RF) energy of the nearby signal resources and then convert the RF energy to the direct current (DC) power, through deploying an energy-harvesting circuit consisting of band-pass filter, rectifying circuit and low-pass filter. The DC power is stored in a rechargeable battery of the communication system instead of a fixed power supply. Wireless power transfer has been used in CR to harvest the RF energy of the PU signal, and the harvested energy can compensate the energy loss of spectrum sensing. A simultaneous wireless information and power transfer (SWIPT) has been investigated for CR to harvest energy and process information simultaneously.

BIOGRAPHY: Xin Liu is currently an Associate Professor in the School of Information and Communication Engineering at Dalian University of Technology, China. He received the B.S. degree in communication engineering in 2006, the M.E. degree in information and communication engineering in 2008, and the Ph.D. degree in information and communication engineering in 2012, from Harbin Institute of Technology, Harbin, China. From Jun. 2012 to Jun. 2013, Xin Liu did postdoctoral research in Nanyang Technological University, Singapore. His recent research interests include Cognitive Radio, Energy Harvesting, and Cloud Computing. He has published more than 50 papers in refereed journals and international conferences. Dr. Liu is a member of the IEEE. He served as a technical program committee (TPC) chair for MLICOM and CHINACOM, he served as a TPC member for many conferences, e.g., Globecom, VTC, WCSP.