Monday | 04.13.2026 | 9:00 am - 12:30 pm
Tutorial
In-Person

Presenters:

Kaibin Huang, The University of Hong Kong, Hong Kong
José A. López-Salcedo, Universitat Autònoma de Barcelona, Spain
Dingzhu Wen, ShanghaiTech University, China
Yuanming Shi, ShanghaiTech University, China
Qimei Chen, Wuhan University, China
Guangxu Zhu, Shenzhen Research Institute of Big Data, China
Prof. Sunwoo Kim, Hanyang University, South Korea

Abstract:

The emergence of 6G marks a paradigm shift from communication-centric connectivity to ubiquitous, task-oriented intelligence that tightly integrates positioning, sensing, communication, and computation to support autonomous systems, large-scale IoT, edge learning, and digital twins. To meet these demands, future networks must evolve from isolated functional modules to coordinated end-to-end frameworks for information acquisition, sharing, and processing, and Integrated Sensing, Communication, and Computation (ISCC) provides a holistic approach to this transformation by jointly optimizing sensing granularity, communication overhead, and computational processing to improve resource efficiency and task performance across heterogeneous applications.  Advances in mmWave and sub-THz systems, large antenna arrays, near-field propagation, and the use of LEO satellites in non-terrestrial networks create new opportunities for global and resilient positioning and communications, while also introducing challenges that require a multi-layered integration of positioning, sensing, communication, and computation for signal processing, tracking, fusion, and decision-making. This tutorial provides a comprehensive and structured introduction to these topics, covering their motivation, evolution from partially integrated technologies, key technical components, and future research directions, and demonstrates how positioning systems naturally fit within an integrated framework that combines architectural design, signal principles, resource management, and energy-efficient mechanisms to enable intelligent, scalable, and sustainable 6G systems.

Biographies:

Kaibin Huang (Fellow, IEEE) received the B.Eng. and M.Eng. degrees from the National University of Singapore and the Ph.D. degree from The University of Texas at Austin, all in electrical engineering. His work has been recognized with seven Best Paper awards from the IEEE Communications Society. He is a member of the Engineering Panel of the Hong Kong Research Grants Council (RGC) and an RGC Research Fellow (2021 Class). He has served on the editorial boards of five major wireless communications journals and co-edited ten journal special issues. He has actively organized flagship international conferences, including the 2014, 2017, and 2023 editions of IEEE Globecom. He has been named a Clarivate Highly Cited Researcher for six consecutive years (2019–2024) and an AI 2000 Most Influential Scholar (Top 30 in Internet of Things) in 2023–2024. He is a former IEEE Distinguished Lecturer and a Fellow of both the IEEE and the U.S. National Academy of Inventors.

José A. López-Salcedo (Senior Member, IEEE) received the Ph.D. degree in telecommunication engineering from Universitat Politècnica de Catalunya in 2007. Since 2006, he has been with Universitat Autònoma de Barcelona, where he is a Professor. He has held visiting appointments at the University of California, Irvine as a Fulbright researcher, the University of Illinois Urbana-Champaign, Hanyang University, and the European Commission Joint Research Center. He has led multiple research projects, many funded by the European Space Agency, focusing on signal processing for satellite navigation receivers. More recently, he has contributed to European initiatives on the use of low Earth orbit satellites for positioning, navigation, and timing. He serves as Chair of the Spanish Chapter of the IEEE Aerospace and Electronic Systems Society, is a member of the Editorial Committee of the Korean Institute of Positioning, Navigation, and Timing, and an elected member of the IEEE Signal Processing Society’s Sensor Array and Multichannel Technical Committee.

Dingzhu Wen (Member, IEEE) is an Assistant Professor at ShanghaiTech University. He received his Bachelor’s and Master’s degrees from Zhejiang University in 2014 and 2017 and his Ph.D. degree from The University of Hong Kong in 2021. He has organized tutorials at IEEE GlobeCom 2022, IEEE/CIC ICCC 2025, and IEEE PIMRC 2025, as well as multiple workshops at IEEE ICC, PIMRC, WCNC, VTC, and ICCC. He has served as a session chair at numerous IEEE conferences. He authored an ESI highly cited paper on integrated sensing-communication-computation and received the IEEE Transactions on Communications Exemplary Reviewer Award in 2022 and the IEEE GlobeCom 2023 Workshop Best Paper Award. He was also recognized as an Excellent Mentor at ShanghaiTech University in 2023.

Yuanming Shi (Senior Member, IEEE) received the B.S. degree from Tsinghua University in 2011 and the Ph.D. degree from The Hong Kong University of Science and Technology in 2015. His research focuses on edge AI, wireless communications, and satellite networks. He has received numerous honors, including the IEEE Marconi Prize Paper Award in Wireless Communications and the IEEE Signal Processing Society Young Author Best Paper Award in 2016, the IEEE ComSoc Asia-Pacific Outstanding Young Researcher Award in 2021, the Chinese Institute of Electronics First Prize in Natural Science in 2022, and the IEEE MeditCom Best Paper Award in 2023. He serves as an editor for IEEE Transactions on Wireless Communications, IEEE Journal on Selected Areas in Communications, and the Journal of Communications and Information Networks, and he is an IET Fellow.

Qimei Chen (Member, IEEE) received her Ph.D. degree from Zhejiang University in 2017 and was a Visiting Student at the University of California, Davis, from 2015 to 2016. She worked as an Associate Researcher at Wuhan University from 2017 to 2022 and has been an Associate Professor there since 2023. Her research interests include intelligent edge communications, unlicensed spectrum, massive MIMO-NOMA, and machine learning in wireless systems. She received Exemplary Reviewer Certificates from IEEE Wireless Communications Letters in 2020 and 2023. She has served as a workshop Co-Chair and Technical Program Committee member for major IEEE conferences and as a Guest Editor for special issues on heterogeneous sensor networks and NOMA in ISAC.

Guangxu Zhu (Member, IEEE) received his Ph.D. degree from The University of Hong Kong in 2019. He is a Senior Research Scientist and Deputy Director of the Network System Optimization Center at the Shenzhen Research Institute of Big Data and an Adjunct Associate Professor at The Chinese University of Hong Kong, Shenzhen. His research interests include edge intelligence, semantic communications, and integrated sensing and communication. He has received several distinctions, including the 2023 IEEE ComSoc Asia-Pacific Best Young Researcher Award, Outstanding Paper Awards, Stanford University’s World’s Top 2% Scientists recognition, and multiple best paper awards. He serves as an Associate Editor for IEEE Transactions on Mobile Computing, IEEE Transactions on Wireless Communications, and IEEE Wireless Communications Letters, and is Vice Co-Chair of the IEEE ComSoc Asia-Pacific Young Professionals Committee.

Sunwoo Kim (Senior Member, IEEE) received his B.S. degree from Hanyang University in 1999 and his Ph.D. degree from the University of California, Santa Barbara, in 2005. Since 2005, he has been with Hanyang University, where he is currently a Professor. He has also served as a Visiting Professor at UC Santa Barbara, Universitat Autònoma de Barcelona, and MIT. From 2017 to 2022, he directed the 5G/Unmanned Vehicle Research Center funded by Korea’s Ministry of Science and ICT, and he currently serves as Executive Director of the Beyond-G Global Innovation Center funded by the National Research Foundation of Korea. He has served as an Associate Editor of IEEE Transactions on Vehicular Technology and is a Senior Member of the IEEE.

Event Name
Enabling Multi-Layered 6G Networks: Integrated Positioning, Sensing, Communications, and Computation