
Wireless innovations Next-generation
Online Workshop(WiNOW)
3-6 November, 2025 // Virtual


Weijie Yuan
Southern University of Science and Technology
Weijie Yuan (Senior Member, IEEE) ‘s research interests include Integrated Sensing and Communications (ISAC), Orthogonal Time Frequency Space (OTFS), and the Low-Altitude Wireless Networks (LAWN). He currently serves as an Editor for the IEEE Transactions on Communications, IEEE Transactions on Wireless Communications, IEEE Transactions on Mobile Computing, IEEE Communications Magazine, IEEE Communications Standards Magazine, IEEE Transactions on Green Communications and Networking, IEEE Communications Letters, IEEE Open Journal of Communications Society, EURASIP Journal of advances in signal processing, and npj Wireless Technology. He has led four special issues in IEEE Transactions on Vehicular Technology, IEEE Transactions on Network Science and Engineering, IEEE Journal of Selected Topics in Signal Processing, and China Communications. He was a Guest Editor for IEEE Internet of Things Journal and IEEE Open Journal of Vehicular Technology. He is serving/served as the the General Co-Chair for ISWCS 2026, Symposium Co-Chair for IEEE/CIC ICCC 2026, and Track Co-Chair for IEEE ICC 2025 and IEEE VTC 2025-Spring. He served as an Organizer/the Chair of several workshops and special sessions in flagship IEEE and ACM conferences, including IEEE ICC, IEEE VTC, IEEE GlobeCom, IEEE/CIC ICCC, IEEE SPAWC, IEEE WCNC, IEEE ICASSP, and ACM MobiCom. He is the Founding Chair of the IEEE AESS Working Group on LAWN and the ComSoc Special Interest Group (SIG) on LAWN. He was a recipient of the Best Editor from IEEE CommL, the Best Paper Award from IEEE ICC 2023, IEEE/CIC ICCC 2023, and IEEE GlobeCom 2024, as well as the 2025 IEEE Communications Society & Information Theory Society Joint Paper Award.
Talk Title: Low-Altitude Wireless Networks: Architectures and Applications
Low-Altitude Wireless Networks (LAWN) integrate communication, sensing, and control functions to establish a reconfigurable three-dimensional air-ground cooperative architecture, enabling UAV swarms to operate safely, autonomously, and efficiently in harsh environments. This report explores several key aspects: constructing secure and covert UAV communication links under multiple eavesdropping and jamming threats through integrated sensing and communication technologies; optimizing LAWN deployment under stringent latency constraints to jointly achieve communication and control objectives; enhancing energy efficiency and link quality via aerodynamic formation coordination and distributed sensing; achieving high-precision synchronization, localization, and formation control in asynchronous and large-scale scenarios; and developing delay-Doppler domain waveforms and sensing techniques based on communication channel estimation for high-mobility environments. By deeply co-designing communication, sensing, and control, LAWN is poised to serve as a reliable, flexible, and sustainable aerial platform for the next generation of wireless networks.