Low-Altitude 6G Networks: Integrated Sensing, Communication and Computing for Aerial-Ground Systems
Special Issue Information
Dear Colleagues,
The rapid emergence of low-altitude applications, such as unmanned aerial vehicles, aerial sensing platforms and urban air mobility, is driving the evolution of wireless networks toward a new paradigm—low-altitude 6G networks. These systems require seamless integration of sensing, communication and computing capabilities, as well as intelligent decision-making mechanisms to support highly dynamic and mission-critical services.
This Special Issue focuses on Integrated Sensing, Communication, Computing and Intelligence for aerial-ground collaborative networks. It aims to explore novel system architectures, theoretical models and intelligent optimization methods that enable efficient coordination among heterogeneous network entities under dynamic and uncertain environments. Key challenges include strong spatiotemporal variability, complex coupling among multi-domain resources, energy constraints and distributed decision-making.
The scope of this Special Issue includes, but is not limited to, low-altitude network architecture design, unmanned aerial vehicles-assisted communication and sensing, edge intelligence, distributed learning and optimization and resource orchestration in Integrated Sensing, Communication, Computing and Intelligence-enabled systems.
Existing literature has primarily addressed sensing, communication, or computing in isolation. In contrast, this Special Issue emphasizes a holistic and integrated perspective, bridging multiple domains and incorporating intelligence into system design and operation. It aims to provide a comprehensive platform for researchers and practitioners to present cutting-edge advances and foster interdisciplinary collaboration in this rapidly evolving field.
Dr. Shichao Xia
Prof. Dr. Yun Li
Dr. Zhixiu Yao
Dr. Zhitong Xing
Guest Editors
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Keywords
- low-altitude networks
- 6G communications
- integrated sensing, communication and computing
- edge intelligence
- aerial-ground collaborative networks
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