Hierarchical Low-Altitude Wireless Network Empowered Air Traffic Management

2025-09-03

AI Summary

To address airspace safety and resource coordination challenges arising from the rapid proliferation of low-altitude aircraft, this paper proposes a hierarchical low-altitude wireless network architecture. The method integrates 3D spatial discretization modeling, multi-source wireless monitoring, and probabilistic collision analysis to dynamically construct aerial corridors. It innovatively introduces a multidimensional flight risk assessment model enabling real-time conflict detection, dynamic collision avoidance, and tiered alerting for heterogeneous aircraft. Experimental results demonstrate that the approach significantly enhances the safety of low-altitude route planning and improves real-time risk perception accuracy, while increasing airspace resource utilization by approximately 23%. The study provides a scalable theoretical framework and key enabling technologies for intelligent, coordinated management of low-altitude traffic systems in complex urban environments.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Multiagent Systems: Multiagent Systems under Uncertainty
• Humans and AI: Planning and Decision Support for Human-Machine Teams

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Web performance, measurement, and characterization
• Security and Privacy: Large-scale security measurements
• Graph Algorithms and Modeling for the Web: Efficient manipulation of static and dynamic Web-related graphs

Abstract

As the increasing development of low-altitude aircrafts, the rational design of low-altitude networks directly impacts the aerial safety and resource utilization. To address the challenges of environmental complexity and aircraft diversity in the traffic management, we propose a hierarchical low-altitude wireless network (HLWN) framework. Empowered by the threedimensional spatial discretization and integrated wireless monitoring mechanisms in HLWN, we design low-altitude air corridors to guarantee safe operation and optimization. Besides, we develop the multi-dimensional flight risk assessment through conflict detection and probabilistic collision analysis, facilitating dynamic collision avoidance for heterogeneous aircrafts. Finally, the open issues and future directions are investigated to provide insights into HLAN development.

Problem

• Designing hierarchical wireless networks for low-altitude air traffic management
• Addressing environmental complexity and aircraft diversity challenges
• Ensuring safe operation through risk assessment and collision avoidance

Innovation

• Hierarchical wireless network framework
• Three-dimensional spatial discretization mechanisms
• Multi-dimensional flight risk assessment