Efficient Online Incentive Mechanism Designs for Wireless Communications

By:   Gang Li, Jun Cai
Imprint:   Springer International Publishing AG
Country of Publication:   Switzerland
Edition:   2024 ed.
Dimensions:   Height: 235mm,  Width: 155mm, 
ISBN:   9783031584527
ISBN 10:   303158452X
Series:   SpringerBriefs in Computer Science
Pages:   110
Publication Date:   28 May 2024
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

Gang Li (S’19-M’22) received the Ph.D. degree from the Concordia University, QC, Canada, in 2022, and the M.S. degree in information and communication systems with the Guilin University of Electronic Technology, Guilin, China, in 2016. Since Mar. 2024, he is with the College of Computer Science, Inner Mongolia University, Hohhot, China, where he is currently a full research professor. From Jun 2022 to Feb. 2024, he was with the School of Electronic and Electrical Engineering, Wuhan Textile University, Wuhan, China. He was awarded the International Graduate Student Scholarship from University of Manitoba in 2018, and was the recipient of Concordia International Tuition Award of Excellence for 2019-2020. His current research interests include online algorithm, mechanism design, machine learning, and their applications in federated learning, edge computing, B5G. Jun Cai received the Ph.D. degree from the University of Waterloo, ON, Canada, in 2004. From June 2004 to April 2006, he was with McMaster University, Canada, as a Natural Sciences and Engineering Research Council of Canada (NSERC) Postdoctoral Fellow. From July 2006 to December 2018, he has been with the Department of Electrical and Computer Engineering, University of Manitoba, Canada, where he was a full Professor and the NSERC Industrial Research Chair. Since January 2019, he has joined the Department of Electrical and Computer Engineering, Concordia University, Canada, as a full Professor and the PERFORM Centre Research Chair. His current research interests include edge/fog computing, ehealth, radio resource management in wireless communication networks, and performance analysis. Dr. Cai served as the General Chair of BSC 2023 and Technical Program Committee (TPC) Co-Chair for IEEE GreenCom 2018. He also serviced Track/Symposium TPC Co-Chair for several conferences, including IEEE VTC-Fall 2020, 2019, 2012, IEEE CCECE 2017, IEEE Globecom 2010, and IWCMC 2008. He also served on the editorial board of IEEE Internet of Things Journal, IEEE Wireless Communications Magazine, IEEE Systems Journal, and Wireless Communications and Mobile Computing.