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.

• Chapter 1 Introduction of Online Incentive Mechanism in Wireless Communications.- Chapter 2 Linear Online Incentive Mechanism Design Case Study of Crowdsensing with Random Task Arrivals.- Chapter 3 Nonlinear Online Incentive Mechanism Design: Case Study of Edge Computing with Energy Budget.- Chapter 4 Online Incentive Mechanism Design for Real-time Decision Making: Case Study of Collaborative Task Offloading in Mobile Edge Computing.- Chapter 5 Conclusions and Future Research Directions.

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.

• Chapter 1 Introduction of Online Incentive Mechanism in Wireless Communications.- Chapter 2 Linear Online Incentive Mechanism Design Case Study of Crowdsensing with Random Task Arrivals.- Chapter 3 Nonlinear Online Incentive Mechanism Design: Case Study of Edge Computing with Energy Budget.- Chapter 4 Online Incentive Mechanism Design for Real-time Decision Making: Case Study of Collaborative Task Offloading in Mobile Edge Computing.- Chapter 5 Conclusions and Future Research Directions.

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.

• Chapter 1 Introduction of Online Incentive Mechanism in Wireless Communications.- Chapter 2 Linear Online Incentive Mechanism Design Case Study of Crowdsensing with Random Task Arrivals.- Chapter 3 Nonlinear Online Incentive Mechanism Design: Case Study of Edge Computing with Energy Budget.- Chapter 4 Online Incentive Mechanism Design for Real-time Decision Making: Case Study of Collaborative Task Offloading in Mobile Edge Computing.- Chapter 5 Conclusions and Future Research Directions.