T5 – Integrated Sensing, Communications and Computation Empowered Low-altitude Intelligent Networks

Co-organizer: Dr. Yuan Wu, University of Macau, Macau SAR, China
Co-organizer: Dr. Suzhi Bi, Shenzhen University, Shenzhen, China
Co-organizer: Dr. Liping Qian, Zhejiang University of Technology, Hangzhou, China
Co-organizer: Dr. Yingjun Angela Zhang, The Chinese University of Hong Kong, Hong Kong SAR, China

Abstract: The low-altitude economy (LAE) aims to leverage low-altitude airspace up to 3000 meters above ground to revolutionize future smart-city systems such as transportation, logistics, entertainment, etc. As a key framework that integrates low-altitude non-terrestrial and conventional terrestrial networks, low-altitude intelligent networks (LAINs) aim to provide multi-functions covering low-altitude accurate sensing and perception, low-latency and high throughput data transmission, real-time task computation/processing, as well as intelligent resource management and reliable control. To this end, the recent advanced integrated sensing, communication, and computation (ISCC) is expected to play a fundamental role in enabling LAINs. This tutorial focuses on illustrating the ISCC empowered LAINs. Firstly, it will provide a comprehensive introduction to the fundamentals and backgrounds of LAINs, covering their key functionalities, service requirements, potential applications, as well as the current technical challenges. Then, this tutorial will systematically illustrate the state of the art of technical advances of LAINs by leveraging the ISCC. We will illustrate the network architecture and infrastructure for accommodating ISCC empowered LAINs. Several key technologies that enable LAINs services will be presented, including integrated sensing and communications (ISAC), joint sensing/communication/computing resource management, as well as edge-cloud collaborative intelligence and generative artificial intelligence (GenAI). The tradeoff among the system efficiency, service robustness, and security will be illustrated, accounting for different quality requirements in LAE services. Overall, we believe that this tutorial will attract interest from academic researchers, graduate students, as well as industrial professionals in the relevant areas.

Co-organizer’s Bios:

Dr. Yuan Wu

Yuan Wu received the PhD degree in Electronic and Computer Engineering from the Hong Kong University of Science and Technology in 2010. He is currently an Associate Professor with the State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau SAR, China, and also with the Department of Computer and Information Science, University of Macau. His research interests include resource management for wireless networks, edge computing and edge intelligence, and integrated sensing, communication, and computation networks. He received the Best Paper Awards from the IEEE ICC’2016, IEEE TCGCC’2017, IWCMC’2021, and WCNC’2023. He served as the Track/Symposium Co-Chairs for IEEE VTC’2017-Fall, VTC’2022-Spring, GLOBECOM’2024, VTC’2025-Spring, and ICCC’2025. He is currently on the editorial boards of IEEE Transactions on Vehicular Technology, IEEE Transactions on Network Science and Engineering, and IEEE Internet of Things Journal. He currently serves as the Vice-Chair of the Macau Chapter, IEEE Communications Society, and the Vice-Chair of the Meetings and Conference Committee, IEEE Communications Society Asia/Pacific Region. He is the Senior Member of IEEE, the Distinguished Member of China Computer Federation, and the Distinguished Lecturer of IEEE Vehicular Technology Society.

Dr. Suzhi Bi

Suzhi Bi is a Full Professor with the College of Electronics and Information Engineering, Shenzhen University, China. He received his Ph.D. degree in Information Engineering from The Chinese
University of Hong Kong in 2013, and his B.E. degree in Communications Engineering from Zhejiang University, China, in 2009. From 2013 to 2015, he was a post-doctoral research fellow with the Department of Electrical and Computer Engineering, National University of Singapore. His research interests mainly involve optimization and machine learning techniques for wireless resource allocation, mobile computing, and wireless sensing. Dr. Bi received the 2019 IEEE ComSoc Asia-Pacific Outstanding Young Researcher Award, the 2021 IEEE ComSoc Asia-Pacific Outstanding Paper Award, and conference Best Paper Awards of IEEE SmartGridComm 2013, IEEE/CIC ICCC 2021, IEEE VTC-Spring 2022, and WCSP 2024. He is an Editor of IEEE Transactions on Wireless Communications and IEEE Wireless Communications Letters. Dr. Bi is the Senior Member of IEEE.

Dr. Liping Qian

Li Ping Qian received the Ph.D. degree in information engineering from The Chinese University of Hong Kong in 2010. From 2010 to 2011, she was a Post-Doctoral Research Associate with The
Chinese University of Hong Kong, China. Since 2011, she has been with the College of Information Engineering, Zhejiang University of Technology, Hangzhou, China, where she is currently a Full
Professor. Her research interests include wireless communication and networking, resource management in wireless networks, massive IoTs, mobile edge computing, emerging multiple access techniques, and machine learning oriented toward wireless communications. She was a co-recipient of the IEEE Marconi Prize Paper Award in Wireless Communications in 2011 and the Best Paper Award from IEEE ICC 2016, the IEEE Communication Society GCCTC 2017, the Digital Communications and Networking in 2021, and the IEEE WCNC 2023. She was an Associate Editor of the IET Communications from 2016 to 2022. She is currently on the editorial board of IEEE Transactions on Cognitive Communications and Networking. Dr. Qian is the Senior Member of IEEE and the Distinguished Lecturer of IEEE Vehicular Technology Society.

Dr. Yingjun Angela Zhang

Ying-Jun Angela Zhang received the Ph.D. degree from the Department of Electrical and Electronic Engineering, The Hong Kong University of Science and Technology. She joined the Department of
Information Engineering, The Chinese University of Hong Kong, in 2005, where she is currently a Professor. Her research interests include optimization and learning in wireless communication
systems. Prof. Zhang is currently a Member-at-Large of IEEE ComSoc Board of Governors, the Steering Committee Chair of IEEE Wireless Communications Letters, and a member of the Steering Committees of IEEE Transactions on Mobile Computing and IEEE SmartgridComm Conference. She was a co-recipient of the 2021 and 2014 IEEE ComSoc Asia–Pacific Outstanding Paper Award, the 2013 IEEE SmartgridComm Best Paper Award, and the 2011 IEEE Marconi Prize Paper Award on Wireless Communications. As the only winner from engineering science, she won the Hong Kong Young Scientist Award 2006, conferred by the Hong Kong Institute of Science. She served as the Editor-in-Chief for IEEE Open Journal of Communications Society, the Chair for the Executive Editor Committee of IEEE Transactions on Wireless Communications and many years on the editorial boards of IEEE Transactions on Wireless Communications, IEEE Transactions on Communications, IEEE Journal on Selected Areas in Communications special issues, IEEE Internet of Things Journal special issues, and IEEE Communications Magazine special issues. She served on the organizing committees for many top conferences, such as IEEE GLOBECOM, ICC, VTC, and SmartgridComm. She was the Founding Chair of the IEEE ComSoc Technical Committee of Smart Grid Communications. Dr. Zhang is the Fellow of IEEE and the Fellow of IET.