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T2: Age of Information: Bytes, Money, and Semantics - VTC2022-Fall - London/Beijing

T2: Age of Information: Bytes, Money, and Semantics

Co-organizer: Howard H. Yang, ZJU-UIUC Institute, China
Co-organizer: Meng Zhang, ZJU-UIUC Institute, China
Co-organizer: Nikolaos Pappas, Linköping University, Sweden

 

Abstract: This tutorial aims to present the current research efforts on the analysis, optimization, and applications of the age of information (AoI) metric, a recently introduced notion that quantifies information freshness in networked and data systems. We will provide comprehensive coverage of the AoI, including its definition, applications, queueing theory based AoI analysis, spatiotemporal models for assessing AoI in large-scale wireless networks, and economic designs (including pricing and mechanism design) for AoI-oriented fresh data markets. Furthermore, we generalize AoI to other age-related semantic metrics and applications. We will also discuss and provide future research directions.

 

Co-organizer’s bios:

Howard H. Yang

Bio: Howard H. Yang received the Ph.D. degree in Electrical Engineering from the Singapore University of Technology and Design, Singapore, in 2017. Currently, he is an assistant professor with the ZJU-UIUC Institute, Haining, China. His background also features appointments at the University of Texas at Austin and Princeton University. He is currently an Editor for IEEE Transactions on Wireless Communications. His research interests cover various aspects of wireless communications, networking, and signal processing.

 

Meng Zhang

Bio: Meng Zhang received his Ph.D. degree in Information Engineering from the Chinese University of Hong Kong in 2019. He is a current assistant professor with the ZJU-UIUC Institute, Haining, China. He was a postdoctoral fellow with Northwestern University and a visiting student research collaborator with Princeton University. His research interests include wireless networking and network economics, with a current focus on age of information, differential privacy, and distributed machine learning.

 

Nikolaos Pappas

Bio: Nikolaos Pappas received his B.Sc., M.Sc, and Ph.D. degrees in computer science from the University of Crete, Greece, in 2005, 2007, and 2012, respectively. He received a B.Sc. degree in mathematics from the University of Crete in 2012. He is an Associate Professor in the Department of Science and Technology, Linköping University, Sweden. He is currently an Editor for IEEE Transactions on Communications, IEEE/KICS Journal of Communications and Networks, IEEE Open Journal of the Communications Society, and a Guest Editor for the IEEE Internet of Things Journal.