Prof. Shiwen Mao
Professor and Earle C. Williams Eminent Scholar, Auburn University, Auburn, AL, USA
Title: The Role of Intelligence in 5G and Beyond: Thoughts and Discussions
SHIWEN MAO received his Ph.D. in electrical engineering from Polytechnic University, Brooklyn, NY. He held the McWane Endowed Professorship from 2012 to 2015 and the Samuel Ginn Endowed Professorship from 2015 to 2020 in the Department of Electrical and Computer Engineering at Auburn University, Auburn, AL. Currently, he is a professor and Earle C. Williams Eminent Scholar, and Director of the Wireless Engineering Research and Education Center (WEREC) at Auburn University. His research interest includes wireless networks, multimedia communications, and smart grid. He was a Distinguished Lecturer of IEEE Vehicular Technology Society (2014-2018). He is on the Editorial Board of IEEE Transactions on Wireless Communications, IEEE Transactions on Network Science and Engineering, IEEE Transactions on Mobile Computing, IEEE Internet of Things Journal, IEEE Open Journal of the Communications Society, IEEE/CIC China Communications, IEEE Multimedia, IEEE Networking Letters, and ACM GetMobile, among others. He was the TPC Co-Chair of IEEE INFOCOM 2018 and is the TPC Vice Chair of IEEE GLOBECOM 2022. He received the IEEE ComSoc TC-CSR Distinguished Technical Achievement Award in 2019 and NSF CAREER Award in 2010. He is a co-recipient of the IEEE Vehicular Technology Society 2020 Jack Neubauer Memorial Award, the IEEE ComSoc MMTC 2018 Best Journal Award and 2017 Best Conference Paper Award, the Best Demo Award from IEEE SECON 2017, the Best Paper Awards from IEEE GLOBECOM 2019, 2016 & 2015, IEEE WCNC 2015, and IEEE ICC 2013, and the 2004 IEEE Communications Society Leonard G. Abraham Prize in the Field of Communications Systems. He is a Fellow of the IEEE.
While 5G deployment is carried out in many places of the world, there has been great interest in prospects of 5G beyond and the next generation. Among the various visions, a common consensus is that intelligence will play a key role. In this talk, we will discuss the motivation, potential, and challenges of incorporating machine learning in 5G and beyond systems. We will then share our experience on applying artificial intelligence (AI) / Machine Learning (ML) to address various wireless communications/networking problems, such as power control, routing, computation offloading, resource allocation, congestion control, traffic classification, RF sensing, and indoor fingerprinting. We will conclude this talk with a discussion of challenges and outlooks.
Prof. Cheng Li
Professor and Head of the Department of Electrical and Computer Engineering, Memorial University, St. John’s, Canada.
Title: Opportunistic and Cooperative Forwarding in Mobile Ad-hoc Networks
Cheng Li received his B. Eng. and M. Eng. degrees from Harbin Institute of Technology, Harbin, P. R. China, in 1992 and 1995, respectively, and his Ph.D. degree in Electrical and Computer Engineering from Memorial University, St. John’s, Canada, in 2004. He is currently a Full Professor and Head of the Department of Electrical and Computer Engineering of Memorial University, St. John’s, Canada. His research interests include wireless communications and networking, communications signal processing, underwater communication and networking, and mobile ad hoc and wireless sensor networks. He is an associate editor of the IEEE Internet-of-Things Journal, IEEE Network Magazine, and IEEE Systems Journal. He has served as the General Co-Chair of the ICNC’22, WINCOM’19, and AICON’19, and the TPC Co-chair for the ICNC’20, MSWiM’14, WiMob’11 and QBSC’10. He has served as a co-chair for various technical symposia/tracks of many international conferences, including IEEE GLOBECOM, ICC, and WCNC. He is the recipient of the best paper award in IEEE Globecom’2017 and ICC’2010. Dr. Li is a registered Professional Engineer (P.Eng.) in Canada and is a Senior Member of the IEEE and a member of the IEEE Communication Society, Computer Society, Vehicular Technology Society, and Ocean Engineering Society.
The multi-hop wireless network has drawn a great deal of attention in the research community in recent years. Within the long period after it was proposed, the routing and forwarding operations in the multi-hop wireless network remain quite similar to those in the multi-hop wired network or the Internet, where the broadcast nature of the wireless medium is simply not utilized to enhance the data transmission ability in the wireless network. Opportunistic data forwarding through node cooperation opens a new paradigm for data forwarding in wireless networks. In this work, a series of solutions to realize opportunistic data forwarding in mobile ad hoc networks (MANETs) have been proposed. The solution is called Cooperative Opportunistic Routing in Mobile Ad-hoc Networks (CORMAN). CORMAN comprises three important components: (1) a new light-weight proactive source routing scheme PSR; (2) a large-scale live update scheme which achieve a quick routing information update with no extra communication overhead; (3) a small-scale retransmission scheme to further utilize the broadcast nature and to enhance the efficiency and robustness of the opportunistic data forwarding in MANETs. Significant performance enhancement have been achieved in terms of throughput, end-to-end delay, delay jitter, and communications overhead, when compared with other routing schemes such as OLSR, DSDV, AODV, and DSR.