Keynotes
Title：Radio Frequency Signals Based UAV Recognition: Principles, Methods, and Prospects
Bio:
Zhenyu Na (Member, IEEE) received the B.S. degree in communication engineering from the School of Astronautics, Harbin Institute of Technology, Harbin, China, in 2004, and the M.S. and Ph.D. degrees in information and communication engineering from Communication Research Centre, Harbin Institute of Technology, in 2007 and 2010, respectively.,He is currently a Full Professor with the School of Information Science and Technology, Dalian Maritime University, Dalian, China. His research interests include space-air-ground integrated networks (SAGINs), UAV communications, satellite networks, integration of communication, sensing, and computing in SAGINs, MEC, and AI-based wireless communications.
Abstract
Title：Radio Frequency Signals Based UAV Recognition: Principles, Methods, and Prospects
Abstract: In recent years, since the surge in the number of unmanned aerial vehicles (UAVs) has led to frequent occurrences of public safety threats, such as “black flight” and illegal surveillance, the establishment of mature UAV recognition systems has become an urgent necessity. The UAV radio frequency (RF) signal recognition technology can accurately detect and effectively manage UAVs by analyzing RF signals features. This talk provides a comprehensive review of related studies in UAV RF signal recognition. Firstly, the generation mechanism of RF fingerprinting, the process and equipment for RF signal acquisition, as well as the existing RF signal datasets are elaborated. Secondly, UAV RF signal recognition methods are categorized into two classes based on the use of prior information: the prior information-aided and blind recognition. For the former, the methodologies based on signal modulation modes and communication protocols are analyzed. For the latter, the methodologies under four scenarios including regular conditions, few-shot scenarios, complex environments, and open-set recognition are expounded. Then, the design principles and core issues of various methodologies are thoroughly discussed. Finally, the current technical challenges are expatiated, and the future directions are envisioned.Â
Zhenyu Na
Information Science and Technology College, Dalian Maritime University Dalian, China
Xin Liu
Information Science and Technology College, Dalian Maritime University Dalian, China
Title：Wireless Power Transfer（WPT）in Cognitive Radio and Multicarrier Communication
Bio:
Xin Liu (Senior Member, IEEE) received the M.Sc. and Ph.D. degrees in communication engineering from the Harbin Institute of Technology in 2008 and 2012, respectively. He is currently an Associate Professor with the School of Information and Communication Engineering, Dalian University of Technology, China. From 2012 to 2013, he was a Research Fellow with the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. From 2013 to 2016, he was a Lecturer with the College of Astronautics, Nanjing University of Aeronautics and Astronautics, China. His research interests include communication signal processing, cognitive radio, spectrum resource allocation, and broadband sate
Abstract
Title：Wireless Power Transfer（WPT）in Cognitive Radio and Multicarrier Communication
Abstract: Traditional energy supply systems face significant challenges, including unstable energy sources, low energy density, limited conversion efficiency, and the inability to freely relocate energy equipment. These limitations call for innovative solutions in modern communication systems. Wireless Power Transfer (WPT) offers a promising alternative by enabling the transmission of electrical energy from a power source to an electrical load without the use of physical conductors such as wires or cables. WPT technology provides three key advantages: convenience, as it eliminates the need to replace batteries in buildings or hazardous environments; cost-effectiveness, since ambient energy is both ubiquitous and inexhaustible; and environmental protection, by reducing battery disposal waste. WPT can be categorized into two main approaches. Near-field WPT transfers power over short distances through magnetic fields via inductive coupling between coils, or through electric fields via capacitive coupling between electrodes. Far-field WPT, on the other hand, transmits energy over longer distances using directed electromagnetic radiation, such as microwaves or laser beams, requiring precise alignment with the receiver. This speech explores the integration of WPT into Cognitive Radio and Multicarrier Communication systems, highlighting its potential to revolutionize energy harvesting and sustainable wireless communication networks.
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