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Toward Realization of Low-Altitude Economy Networks: Core Architecture, Integrated Technologies, and Future Directions

Published: April 30, 2025 | arXiv ID: 2504.21583v1

By: Yixian Wang , Geng Sun , Zemin Sun and more

Potential Business Impact:

Makes drones and flying cars safer and smarter.

Business Areas:
Drone Management Hardware, Software

The rise of the low-altitude economy (LAE) is propelling urban development and emerging industries by integrating advanced technologies to enhance efficiency, safety, and sustainability in low-altitude operations. The widespread adoption of unmanned aerial vehicles (UAVs) and electric vertical takeoff and landing (eVTOL) aircraft plays a crucial role in enabling key applications within LAE, such as urban logistics, emergency rescue, and aerial mobility. However, unlike traditional UAV networks, LAE networks encounter increased airspace management demands due to dense flying nodes and potential interference with ground communication systems. In addition, there are heightened and extended security risks in real-time operations, particularly the vulnerability of low-altitude aircraft to cyberattacks from ground-based threats. To address these, this paper first explores related standards and core architecture that support the development of LAE networks. Subsequently, we highlight the integration of technologies such as communication, sensing, computing, positioning, navigation, surveillance, flight control, and airspace management. This synergy of multi-technology drives the advancement of real-world LAE applications, particularly in improving operational efficiency, optimizing airspace usage, and ensuring safety. Finally, we outline future research directions for LAE networks, such as intelligent and adaptive optimization, security and privacy protection, sustainable energy and power management, quantum-driven coordination, generative governance, and three-dimensional (3D) airspace coverage, which collectively underscore the potential of collaborative technologies to advance LAE networks.

Country of Origin
πŸ‡ΈπŸ‡¬ πŸ‡¨πŸ‡³ πŸ‡°πŸ‡· China, Korea, Republic of, Singapore

Page Count
25 pages

Category
Computer Science:
Networking and Internet Architecture