Submission Deadline Extended to 13 March 2025

W10: Emerging Spectrum Cognition and Management Techniques for Low-altitude Aircraft’s Wireless Communications

Co-Organizer: Nan Qi, Nanjing University of Aeronautics and Astronautics, China
Co-Organizer: Ming Xiao, Royal Institute of Technology, Sweden
Co-Organizer: Shi Jin, Southeast University, China
Co-Organizer: Qihui Wu, Nanjing University of Aeronautics and Astronautics, China
Co-Organizer: Juha Röning, University of Oulu, Finland

Abstract: Low-altitude aircraft, particularly unmanned aerial vehicles (UAVs), are featured by their high mobility, flexible deployment, and rapid large-area coverage, making them valuable for diverse applications such as rescue missions and smart farming. The low-altitude 3D wireless network, comprising various aircrafts and ground-based infrastructures, is expected to become a crucial component of future 6G networks. However, ensuring efficient and safe operation within these networks hinges on effective electromagnetic spectrum cognition and management. Without proper spectrum management, both legal and unintentional electromagnetic interference could destabilize Command and Control (CNPC) and Payload Communication (PC) links, potentially leading to UAV crashes or loss of operational control.

The rapid proliferation of UAVs and other low-altitude aircraft have significantly heightened the demand for spectrum resources, highlighting the need for emerging spectrum cognition and management techniques. Nowadays, optimization of spectrum utilization, and assurance of communication robustness ty have emerged as critical research areas. The workshop aims to explore in-depth research on key issues related to spectrum management in the low-altitude aircrafts and to build a robust framework for the intelligent and efficient spectrum cognition and management. The primary research objectives include advancements in spectrum sensing/cognition technology, optimization of spectrum resource allocation, prediction of dynamic spectrum maps, and detailed analysis of spectrum usage intention and behavior.

Additionally, this workshop focuses on the implementation of lightweight algorithms to facilitate collaborative decision-making among multiple UAVs, and the integration of UAV spectrum maps with sensing technologies. Moreover, the establishment of experimental platforms, along with practical applications will also shed significant light on the development of low-altitude wireless communication networks.

Co-Organizer’s Bios:

Nan Qi:

Nan Qi (Senior Member, IEEE) received the BSc and PhD degrees in communications engineering from Northwestern Polytechnical University (NPU), China, in 2011 and 2017, respectively. From 2013 to 2015, she was a visiting scholar with the Department of Electrical Engineering, KTH Royal Institute of Technology, Sweden. She is currently an associate professor with the Department of Electronic Engineering, Nanjing University of Aeronautics and Astronautics, China. Her research interests include UAV-assisted communications, optimization of wireless communications, opportunistic spectrum access, learning theory, and game theory.

Ming Xiao:

Ming Xiao (S’2002-M’2007-SM’2012) received Ph.D degree from Chalmers University of technology, Sweden in November 2007. From November 2007 to now, he has been in the department of information science and engineering, school of electrical engineering and computer science, Royal Institute of Technology, Sweden, where he is currently a Professor. He was an Editor for IEEE Transactions on Communications (2012-2017) and has been an Editor for IEEE Transactions on Wireless Communications since 2018. He has been an area editor for IEEE Open Journal of the Communication Society since 2019. He received IEEE Vehicular Technology Society Best Magazine Paper Award 2023.

Shi Jin:

Shi Jin (Fellow, IEEE) is a professor with the School of Information Science and Engineering at Southeast University, Nanjing, China. He has published more 100 journal and conference papers on signal processing and communications. His research interests include space-time wireless communications, random matrix theory, and information theory.

Qihui Wu:

Qihui Wu (Fellow, IEEE) received the B.S. degree in communications engineering and the M.S. and Ph.D. degrees in communications and information systems from the Institute of Communications Engineering, Nanjing, China, in 1994, 1997, and 2000, respectively. He was a Post-Doctoral Research Associate with Southeast University, Nanjing, from 2003 to 2005, and an Associate Professor with the College of Communications Engineering, PLA University of Science and Technology, Nanjing, from 2005 to 2007, where he was a Full Professor from 2008 to 2016. From March 2011 to September 2011, he was an Advanced Visiting Scholar with the Stevens Institute of Technology, Hoboken, NJ, USA. Since May 2016, he has been a Full Professor with the College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing. His current research interests include wireless communications and statistical signal processing, with an emphasis on system design of software defined radio, cognitive radio, and smart radio.

Juha Röning:

Juha Röning, Professor of Embedded System at the University of Oulu. He serves also as Visiting Professor of Tianjin University of Technology, P. R. China. He is principal investigator of the Biomimetics and Intelligent Systems Group (BISG). In 1985 he received Asla/Fullbright scholarship. From 1985 to 1986 he was a visiting research scientist in the Center for Robotic Research at the University of Cincinnati. From1986 to1989 he held a Young Researcher Position in the Finnish Academy. In 2000 he was nominated as Fellow of SPIE. He has two patents and has published more than 300 papers in the areas of computer vision, robotics, intelligent signal analysis, and software security. He is also a steering board member of ARTMIS-IA.

 

To submit a paper, please visit: https://vtc2025s-rr-wks.trackchair.com/track/2367