To meet the service requirements of emerging applications such as global maritime monitoring, deep-space exploration, low-altitude economy, emergency rescue, and massive rural Internet of Things in terms of ubiquitous coverage, ultra-long distance transmission, and ultra-low power consumption, long-range wireless communications, as the cornerstone of space-air-ground-sea integrated networks, has become a critical enabler for 6G ubiquitous connectivity. At present, while traditional HF/VHF over-the-horizon communications remain indispensable for beyond-line-of-sight and emergency scenarios, research on adaptive channel modeling, energy-efficient transmission, and multi-domain resource coordination across heterogeneous long-range links is still facing severe bottlenecks, making it difficult to adaptively guarantee reliable connectivity in complex and dynamic environments. Therefore, by fully leveraging advanced technologies such as non-terrestrial networks (NTN), HF/VHF modernization, massive MIMO, and reconfigurable intelligent surfaces (RIS), it is urgent to carry out research on intelligent long-range wireless transmission and cross-medium cooperative networking driven by diverse 6G application scenarios from the perspective of multi-dimensional resource optimization.

Topics:
Satellite and non-terrestrial networks (NTN)
UAV and high-altitude platform communications
HF/VHF and over-the-horizon communications
Low-power wide-area networks (LPWAN) and Ambient IoT
Deep-space and interplanetary wireless communications
Free-space optical and terahertz long-range transmission
Cross-medium and emergency long-range communications
AI-driven long-range communications resource optimization

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Short Biography of Organizers

Assoc. Prof. Kun Xu, Information Support Force Engineering University, China

Kun Xu received the B.S. degree and Ph.D. Degree both in communication engineering from PLA University of Science and Technology, Nanjing, China, in 2007 and 2013, respectively. His Ph.D dissertation was awared as the excellent doctoral dissertation of Jiangsu Province in 2014. He is currently an associate professor with Information Support Force Engineering University, Wuhan, China. He received two Provincial and Ministerial Science and Technology Progress Awards (one first class and one second class) in 2019 and 2020, respectively, and hold more than twenty patents. His research interests include channel modeling, waveform design, and frequency prediction in high frequency communications.

Dr Yangyang Li, Information Support Force Engineering University, China

Yangyang Li received the B.S. degree in communication engineering from Hunan University, Changsha, China, in 2014, the M.S. degree in communications engineering and information systems from the Army Engineering University of PLA, Nanjing, China, in 2019, and the Ph.D. degree in engineering in 2024. He is currently working as a Postdoctoral Researcher with the College of Information and Communication, Information Support Force Engineering University. His research interests include anti-jamming communications, cognitive radio, and machine learning.

Dr Weilin Luo, Engineering University of the Information Support Force, China

Weilin Luo received his Bachelor of Engineering degree in Communication Engineering from Xidian University in 2018, his Master of Engineering degree in Electronic and Information Engineering from the Air Force Early Warning Academy in 2020, and his Ph.D. in Information and Communication Engineering from the same academy in 2024. He is currently an Assistant Researcher at the Engineering University of the Information Support Force. His main research interests include blind signal processing and communication signal processing.

Dr Yangpeng Dan, Information Support Force Engineering University, China

Yangpeng Dan received the B.S. degree in science and technology of electronic information from Wuhan University, Wuhan, China, in 2014, and the Ph. D degree in Radio Science from Wuhan University in 2022. He is currently a lecturer of Information Support Force Engineering University. His research interests include Joint Communication and Sensing and Statistical signal processing.