Keynote Presentation
From 5G to 6G: Applications and Resource Allocation
Han Zhu
Moores Professor of ECE Department
Fellow IEEE, Fellow AAAS, Fellow ACM
University of Houston
Abstract:
In this talk, we will first review the 5G three usage cases (capacity enhancement, massive connectivity, and ultra-high reliability & low latency), and then envision three new 6G usage cases (ubiquitous connectivity, integrated sensing & communication, and integrated AI & communication). We will show the key concepts, challenges and opportunities, as well as some prototypes demos. Next, we explain the importance of resource allocation for such networks, and focus on the distributed management through the lens of game theory. Game theory provides a formal framework with a set of mathematical tools to study the complex interactions among interdependent rational players. Recently., there has been a surge in research activities that employ game theoretical model and analyze wireless communication systems. We will introduce new distributed optimization frameworks and provide several examples to identify the key research issues related to 5G, 6G and beyond.
Biography:
Zhu Han received the B.S. degree in electronic engineering from Tsinghua University, in 1997, and the M.S. and Ph.D. degrees in electrical and computer engineering from the University of Maryland, College Park, in 1999 and 2003, respectively. From 2000 to 2002, he was an R&D Engineer of JDSU, Germantown, Maryland. From 2003 to 2006, he was a Research Associate at the University of Maryland. From 2006 to 2008, he was an assistant professor at Boise State University, Idaho. Currently, he is a John and Rebecca Moores Professor in the Electrical and Computer Engineering Department as well as the Computer Science Department at the University of Houston, Texas. Dr. Han is an NSF CAREER award recipient of 2010, and the winner of the 2021 IEEE Kiyo Tomiyasu Award (an IEEE Field Award). He has been an IEEE fellow since 2014, an AAAS fellow since 2020, and ACM fellow since 2024. He is an IEEE Distinguished Lecturer from 2015 to 2018, and an ACM Distinguished Speaker from 2022-2025. Dr. Han is also a 1% highly cited researcher since 2017.