W20: The 2nd Workshop on Space-Air-Ground-Sea Integrated Sensing, Computing, and Communications For Low-Altitude Economy Networks

Co-Organizer: Xiaoli Chu, The University of Sheffield, UK
Co-Organizer: Bintao Hu, Xi’an Jiaotong-Liverpool University, China
Co-Organizer: Yuan Gao, Shanghai University, China
Co-Organizer: Jianbo Du, Xi’an University of Posts and Telecommunications, China

Keynote Speaker: Shugong Xu

Abstract: The perpetual exacerbation of traditional terrestrial network resource congestion and the exponential proliferation of the Internet of Things (IoT) service demands are propelling the investigation of integrated low-altitude economy (LAE) network systems. Contemporary traditional wireless networks confront three fundamental constraints: the inherent bandwidth limitations of conventional network architectures, the computational capacity ceiling of edge devices, and the latency bottlenecks in backhaul transmission links. Consequently, the critical functionalities of mobile sensing, data communication, and distributed computation within existing wireless systems have traditionally been developed in a modular manner. This architectural paradigm presents persistent challenges in achieving holistic optimisation of end-to-end latency minimisation and energy efficiency enhancement across the complete wireless system spectrum. Diverging from conventional terrestrial network capacity enhancement approaches, LAE networks integrated with artificial intelligence (AI) technologies have emerged as an efficient solution to improve the performance of networks. Specifically, in the realms of AI-empowered LAE networks, AI technologies augment the cognitive, learning, and decision-making functionalities of LAE networks, which facilitates the optimisation of resource utilisation and the improvement of network performance. Thus, research on AI-empowered integrated sensing and communication/computation (ISAC) LAE networks proposes innovative decentralised architectures capable of simultaneously satisfying the heterogeneous quality-of-service requirements, including ultra-reliable low-latency communication (uRLLC), ultra-massive machine-type connectivity (umMTC), and enhanced mobile broadband (eMBB), demanded by next-generation IoT applications. This systematic analysis elucidates the theoretical foundations, contemporary technological developments, and prospective research trajectories in AI-empowered ISAC LAE networks while establishing an integrative framework for understanding their multidimensional interactions and cross-industry transformative potential.

Keynote Speaker Bio:

Shugong Xu (Fellow, IEEE) graduated from Wuhan University, China, in 1990. He received the master’s degree in pattern recognition and intelligent control and the Ph.D. degree from Huazhong University of Science and Technology, China, in 1993 and 1996, respectively. He is currently a Full Professor and the AVP-R with Xi’an Jiaotong-Liverpool University. He was the Center Director and an Intel Principal Investigator with the Intel Collaborative Research Institute for Mobile Networking and Computing, prior to December 2016, when he joined Shanghai University as a Full Professor. Before joining Intel Labs in September 2013, he was a Research Director and a Principal Scientist with the Communication Technologies Laboratory, Huawei Technologies. He was also the Chief Scientist and a PI for the China National 863 Project on End-to-End Energy Efficient Networks. He was one of the Co-Founder of the Green Touch consortium, together with Bell Labs etc. Prior to joining Huawei in 2008, he was with the Sharp Laboratories of America as a Senior Research Scientist. Before that, he conducted research as a Research Fellow with the City College of New York, Michigan State University and Tsinghua University. His current research interests include machine learning, pattern recognition as well as ISAC in wireless communication systems. He is also the winner of the 2017 Award for Advances in Communication from the IEEE Communications Society.

 

Co-Organizer’s Bios:

Xiaoli Chu

Xiaoli Chu (Senior Member, IEEE) is a Professor in the Department of Electronic and Electrical Engineering at the University of Sheffield, UK. She received the B.Eng. degree in Electronic and
Information Engineering from Xi’an Jiao Tong University in 2001 and the Ph.D. degree in Electrical and Electronic Engineering from the Hong Kong University of Science and Technology in 2005. From 2005 to 2012, she was with the Centre for Telecommunications Research at King’s College London. Xiaoli has co-authored over 200 peer-reviewed journal and conference papers, including 8 ESI Highly Cited Papers and the IEEE Communications Society 2017 Young Author Best Paper. She co-authored/co-edited the books ‘Fog-Enabled Intelligent IoT Systems’ (Springer 2020), ‘Ultra Dense Networks for 5G and Beyond’ (Wiley 2019), ‘Heterogeneous Cellular Networks – Theory, Simulation and Deployment’ (Cambridge University Press 2013), and ‘4G Femtocells: Resource Allocation and Interference Management’ (Springer 2013). She is Senior Editor for the IEEE Wireless Communications Letters, Associate Editor for the IEEE Transactions on Network Science and Engineering, Editor for the IEEE Open Journal of Vehicular Technology, and received the IEEE Communications Letters Exemplary Editor Award in 2018.

Bintao Hu

Bintao Hu (member, IEEE) is an Assistant Professor at the School of Internet of Things, Xi’an Jiaotong-Liverpool University, Suzhou, China. He received his B.Eng. degree in telecommunications engineering from Xiangtan University, Xiangtan, China, in 2015, M.Sc. degree in Data Communications in 2017 and Ph.D. degree in Electronic and Electrical Engineering in 2022, both from the University of Sheffield, UK. He attended the European Commission Decade project with Ranplan, Barcelona, Spain, in 2018. He received the best paper award in SMC-IoT 2023, the best oral presentation award in IEEE/ACIS ICIS 2023, and the best workshop organisation award in SMC-IoT 2023. He served as a Chair/Co-Chair of many international workshops, such as IEEE VTC-Spring 2025, IEEE VTC-Fall 2024, IEEE ICCCN 2024, IEEE RFIT 2024, SMC-IoT 2023, etc. He served as a member of the technical committee for many conferences, such as IEEE VTC-Fall 2024, IEEE WCNC 2024, IEEE PIMRC 2024, IEEE VTC-Fall 2023, etc. He also served as a reviewer for many journals and international conferences, such as Vehicular Communications, IEEE VTC-Fall 2023, IEEE VTC-Fall 2019, etc. His current research interests include D2D/V2X/U2X communications, mobile edge computing, Integrated Sensing and Communication, space-air-ground integrated networks, digital twins, federated learning, etc.

Yuan Gao

Yuan Gao (member, IEEE) is an assistant Professor at the School of Communication and Information Engineering, at Shanghai University. He received his B.S. degree from the Beijing University of Posts and Telecommunications, Beijing, China, in 2013, his M.S. degree from Imperial College London, London, U.K., in 2014, and his Ph.D. degree from the University of Sheffield, Sheffield, U.K., in 2019. He was with Ranplan Wireless Network Design Ltd from 2018 to 2021, when he worked as a wireless engineer to develop a world-leading wireless network design and optimization tool, i.e., Ranplan Professional, that adheres to 3GPP protocols of 5G. He has been working on multiple Euro Union Horizon and innovative UK projects with total funds of over 10 million euros. He joined Shanghai University in 2022 and focuses on the key enabling technologies of 6G, including joint sensing and communication (ISAC), dynamic spectrum management, space-terrestrial integrated networks (STIN) and AI.

Jianbo Du

Jianbo Du (Senior member, IEEE) received her Ph.D. in communication and information systems from Xidian University, Xi’an, Shaanxi, China, in 2018. She was a visiting scholar at Carleton
University, Canada, in 2019. She is now an associate professor with the School of Communication and Information Engineering, Xi’an University of Posts and Telecommunications. Her research interests include mobile edge computing, blockchain, space-air-ground integrated networks, deep reinforcement learning, optimization theory and methods, etc., and their applications in wireless
communications. She has published more than 50 research papers in leading journals and flagship conferences and 6 of them are ESI Top 1% highly cited papers, and her papers have been cited
more than 2,500 times on Google Scholar. She was selected as the Top 2% world top scientists in 2022-2023. She serves as the editor of IEEE OJVT, the guest editor of IET Communications, etc.
She also serves the TPC chair, session chair, and TPC member of many conferences, and the reviewer for more than 30 leading journals. She has been awarded the excellent reviewer of IEEE
TCOM, IEEE TNSE, and IEEE CL in 2021 and 2022.