Unmanned aerial vehicles (UAVs) are pivotal components of the evolving space-air-ground-sea integrated network. Compared to traditional terrestrial infrastructure, UAVs offer unique attributes, such as low cost, high maneuverability, and ease of deployment. These capabilities enable UAVs to provide integrated communication, sensing, and computation (ICSAC) services across diverse application scenarios. For the scenarios demanding high coverage, data rate, and transmission robustness, UAV swarms can collaborate to execute tasks more effectively, achieving mission objectives with greater precision. In other application scenarios, UAVs can simultaneously perform wireless sensing and ensure reliable information transmission. However, the inherent high mobility of UAVs introduces significant challenges in many aspects of network applications, including intelligent networking, channel modeling, flight deployment, mobility control, trajectory optimization, safety management, and drone group collaboration and management. In addition, rotary-wing UAVs face limitations related to payload and energy consumption, which remain bottlenecks in the advancement and practical deployment of UAV networks.
This special issue aims to bring together leading researchers and practitioners from both industry and academia to present their latest advancements on UAV-enabled ICSAC. Authors are invited to submit manuscripts on topics including, but not limited to, the following:
- UAV-assisted channel sounding for ICSAC applications
- Advanced channel modeling and digital twin for UAV-enabled ICSAC
- UAV swarming and coordination strategies for ICSAC applications
- Protocols and architectures optimized for UAV-enabled ICSAC
- Computation offloading techniques for UAV-enabled ICSAC
- UAV-assisted data collection and analytics for ICSAC applications
- Machine learning and artificial intelligence for UAV-enabled ICSAC
- New opportunities/challenges/use cases for UAV-enabled ICSAC
- UAV’s trajectory design for UAV-enabled ICSAC
- Spectrum management and multiple access schemes for UAV-enabled ICSAC
- Green energy powered UAV-enabled ICSAC
- MIMO/massive MIMO/millimeter wave technologies for UAV-enabled ICSAC
- Quality of Service provisioning for UAV-enabled ICSAC
- Network security and information assurance for UAV-enabled ICSAC
Chair: Prof. Qiuming Zhu, Nanjing University of Aeronautics and Astronautics, China
Qiuming Zhu received the B.S. degree in electronic engineering and the M.S. and Ph.D. degrees in communication and information systems from the Nanjing University of Aeronautics and Astronautics (NUAA), Nanjing, China, in 2002, 2005, and 2012, respectively. From October 2016 to October 2017, from June 2018 to August 2018, and from June 2018 to August 2018, he was an Academic Visitor with Heriot-Watt University, Edinburgh, U.K. Since 2021, he has been a Professor with the Department of Electronic Information Engineering, NUAA. He has authored or co-authored more than 120 articles in refereed journals and conference proceedings and holds more than 40 patents. His research interests include channel sounding, modeling, and emulation for the fifth/sixth generation mobile communication, vehicle-to-vehicle communication, and unmanned aerial vehicle communication systems.
Co-chair: Assoc. Prof. Zhangfeng Ma, Shaoyang University, China
Zhangfeng Ma received the B.S. degree in communications engineering from the Huaihua University, Huaihua, China, in 2015, the M.S. degree in electronic and communication engineering from the Chongqing University of Posts and Telecommunications (CQUPT), Chongqing, China, in 2018, and the Ph.D. degree (Hons.) in information and communication engineering from the School of Electronic and Information Engineering, Beijing Jiaotong University (BJTU), Beijing, China, in 2022. From 2021 to 2022, he was a Visiting Ph.D. Student with the Antennas, Propagation and Millimetre-wave Systems (APMS) section, Department of Electronic Systems, Aalborg University, Aalborg, Denmark. He is currently an Associate Professor with the School of Information Science and Engineering, Shaoyang University, Shaoyang, China. His current research interests include wireless propagation channel modeling, non-stationary channel models, and unmanned aerial vehicle channel modeling. He was a recipient of the Best Student Paper Award from the IEEE Vehicular Technology Conference (VTC-Fall) in 2019, and the Outstanding Doctor's Thesis Award from the Chinese Institute of Electronics (CIE) in 2023.
Co-chair: Dr. Ruichen Zhang, Nanyang Technological University, Singapore
Ruichen Zhang is currently working as a Post-Doctoral Research Fellow with the College of Computing and Data Science, Nanyang Technological University (NTU), Singapore. He received the Ph.D. degree from Beijing Jiaotong University (BJTU), China, in 2023. In 2024, he was a Visiting Scholar with the College of Information and Communication Engineering, Sungkyunkwan University, Suwon, South Korea. From 2025, he is the Editor-in-Chief assistant of IEEE Transactions on Network Science and Engineering. He was a recipient of the Capital Frontier Academic Achievement Award from the Beijing Association for Science and Technology in 2024, the Best Paper Award from Electric Power in 2024, and the Best Paper Award from Electric Power in 2023. His research interests include LLM-empowered networking, reinforcement learning-enabled wireless communication, generative AI models, and heterogeneous networks.
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