Special Sessions | 专题论坛

 

Special Session 10: Transmission Theory and Performance Optimization for Future UAV Communications
"未来无人机通信传输理论与性能优化"  

With the rapid advancement of unmanned aerial vehicle (UAV) technology, UAV communications have become one of the core supporting technologies for 6G and beyond wireless systems, demonstrating enormous application value in diverse scenarios such as aerial surveillance, emergency rescue, smart city management, low-altitude logistics, and agricultural plant protection. However, UAV communications face critical challenges including dynamic channel environments (e.g., fast channel variations caused by high-speed movement), strict energy constraints (balancing endurance and communication energy consumption), complex interference scenarios (interference between multiple UAVs and with ground equipment), and stringent latency/reliability requirements (e.g., low-altitude secure communications). These issues still restrict the full release of their performance potential. To break through the above bottlenecks, research on transmission theory innovation, efficient resource allocation, and performance optimization for UAV communications has become an urgent need in the current wireless communication field.
This special session aims to gather cutting-edge research achievements from academia and industry, focusing on theoretical breakthroughs and engineering practice solutions for future UAV communications. We sincerely invite researchers worldwide to submit high-quality manuscripts, exploring novel transmission mechanisms, performance limit analysis, and optimization strategies in the field of UAV communications. Together, we will promote the development of efficient, reliable, and intelligent UAV communication systems, and provide technical support for the construction of 6G low-altitude communication networks.

Topics (Including but not limited to):

  • Channel characteristic measurement, modeling, and simulation for UAV communications (covering high-speed movement, low-altitude complex environment scenarios)
  • Information-theoretic foundations and performance bound analysis for UAV communications (e.g., capacity, latency-reliability trade-off)
  • Energy efficiency optimization for UAV communications (including coordination between communication and endurance, energy-saving transmission protocol design)
  • UAV-enabled integrated sensing and communication (ISAC) technologies and signal design
  • UAV swarm communications and cooperative transmission (including multi-UAV networking, resource scheduling, interference suppression)
  • Security and privacy protection for UAV communications (including anti-interference, identity authentication, data encryption)
  • UAV communication technologies in satellite-terrestrial integrated / space-air-ground integrated networks
  • Artificial intelligence (AI)-driven optimization for UAV communications (e.g., intelligent resource allocation, channel prediction)
  • Integrated localization and navigation technologies for UAV communications (including high-precision positioning-aided communications)
  • UAV communication solutions for special scenarios such as emergency rescue and disaster response
  • Adaptive UAV communication technologies in complex environments such as marine areas, plateaus, and urban canyons
  • Hardware implementation and prototype system development for UAV communications (including lightweight terminal design)

Organizer: Prof. Hao Jiang, Nanjing University of Information Science and Technology, China

Hao Jiang received the B.S. and M.S. degrees in electrical and information engineering from the Nanjing University of Information Science and Technology, Nanjing, China, in 2012 and 2015, respectively. He received the Ph.D. degree from Southeast University, Nanjing, China, in 2019. From 2017 to 2018, he was a Visiting Student with the Department of Electrical Engineering, Columbia University in the City of New York, New York, USA. His current research interests are in the general area of wireless channel measurements and modeling, B5G wireless communication networks, signal processing, machine learning, and AI-driven technologies.  

Co-organizer: Prof. Qiuming Zhu, Nanjing University of Aeronautics and Astronautics, China

Qiuming Zhu (Senior Member, IEEE) received the B.S. degree in electronic engineering and the M.S. and Ph.D. degrees in communication and information system from Nanjing University of Aeronautics and Astronautics (NUAA), Nanjing, China, in 2002, 2005, and 2012, respectively. Since 2021, he has been a Professor with the Department of Electronic Information Engineering, NUAA. He was also an academic visitor at Heriot-Watt University, Edinburgh, U.K., and Polytechnic University of Madrid, Madrid, Spain. He has authored or co-authored over 200 articles in refereed journals and conference proceedings. He holds over 80 Chinese and international patents. His current research interests include channel sounding, modeling, and emulation for low-altitude networks and 3-D spectrum mapping and environment awareness.  

Co-organizer: Prof. Zhiming Chen, Shanghai Dianji University, China

Zhimin Chen received the Ph.D. degree in information and communication engineering from the School of Information Science and Engineering, Southeast University, Nanjing, China in 2015. Since 2015, she is currently an associate professor at Shanghai Dianji University, Shanghai, China. From 2021, she is also a Visiting Scholar in the Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong. Her research interests include array signal processing, vehicle communications and millimeter-wave communications.  

Important Dates | 重要日期

  • Submission Deadline | 投稿截止日期
    January 10th, 2026 | 2026年1月10日

  • Notification Date | 录用结果通知
    Februaru 10th, 2026 | 2026年2月10日

  • Registration Deadline | 注册截止日
    March 1st, 2026 | 2026年3月1日

Submission Guideline / 投稿指南

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