Keynote

Talk details

Title: Computational Offloading and Resource Allocation in Mobile Edge Computing

Abstract: Mobile edge computing (MEC) is a solution evolved from mobile clouding computing (MCC). In addition to providing cloud computing service to mobile users, MEC also aims to bring such services closer to mobile users. By utilizing the storage and computation resources at the edge of the mobile network, resource constrained mobile devices are able to run more resource demanding applications with stringent delay requirements. As an important ingredient of 5G wireless networks, considerable research work has been conducted to address the several key challenges in MEC, such as computational offloading, resource allocation, and mobility management. In this talk, we present several our recent works on computational offloading and resource allocation. For computational offloading, we will present a Lyapunov optimization-based online solution, a queueing theory based multi-objective optimization solution, and a deep reinforcement learning based solution. For resource allocation, we will present a hierarchical radio resource allocation approach for network slicing in fog radio access networks, and a deep reinforcement learning based resource management approach for green fog radio access networks. We will conclude this talk with a discussion of open problems. 

Biosketch

SHIWEN MAO (S’99-M’04-SM’09-F’19) received his Ph.D. in electrical and computer engineering from Polytechnic University, Brooklyn, NY (now The New York University Tandon School of Engineering). He was the McWane Associate Professor from 2012 to 2015 in the Department of Electrical and Computer Engineering, Auburn University, Auburn, AL. Currently, he is the Samuel Ginn Distinguished Professor and Director of the Wireless Engineering Research and Education Center at Auburn University. 

His research interests include wireless networks, multimedia communications, and smart grid. He is a Distinguished Speaker (2018-2021) and was a Distinguished Lecturer (2014-2018) of the IEEE Vehicular Technology Society. He is on the Editorial Board of IEEE Transactions on Network Science and Engineering, IEEE Transactions on Mobile Computing, IEEE Transactions on Multimedia, IEEE Internet of Things Journal, IEEE Multimedia, IEEE Networking Letters, and ACM GetMobile, among others. 

He received the IEEE ComSoc TC-CSR Distinguished Technical Achievement Award in 2019, the IEEE ComSoc MMTC Distinguished Service Award in 2019, Auburn University Creative Research & Scholarship Award in 2018, the 2017 IEEE ComSoc ITC Outstanding Service Award, the 2015 IEEE ComSoc TC-CSR Distinguished Service Award, the 2013 IEEE ComSoc MMTC Outstanding Leadership Award, and NSF CAREER Award in 2010. He is a co-recipient of the IEEE ComSoc MMTC Best Journal Paper Award in 2019, the IEEE ComSoc MMTC Best Conference Paper Award in 2018, the Best Demo Award of IEEE SECON 2017, the Best Paper Awards from IEEE GLOBECOM 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.