# Hierarchical Low-Altitude Wireless Network Empowered Air Traffic Management

arXiv: https://arxiv.org/abs/2509.03386 · HTML: https://mlsanity.com/paper/2509.03386/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 3 Sep 2025.

## Built on by (most cited first, 2 of 2)

- [Prompt-Driven Low-Altitude Edge Intelligence: Modular Agents and Generative Reasoning](https://mlsanity.com/paper/2602.14003/) (2026)
- [CKM-Driven Communication-Aware UAV Intelligent Trajectory Optimization for Urban Inspection](https://mlsanity.com/paper/2606.24979/) (2026)

## Abstract (arXiv)

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.