Advancing the Control of Low-Altitude Wireless Networks: Architecture, Design Principles, and Future Directions
Haijia Jin, Weijie Yuan, Jun Wu, Jiacheng Wang, Dusit Niyato, Xianbin Wang, George K. Karagiannidis, Zhiyun Lin, Yi Gong, Dong In Kim, Athina Petropulu, Maria Sabrina Greco, Abbas Jamalipour, Sumei Sun

TL;DR
This paper presents a comprehensive framework for low-altitude wireless networks (LAWN) focusing on architecture, design principles, and future challenges to enable reliable control and communication in dynamic aerial-ground environments.
Contribution
It introduces a modular LAWN architecture, discusses key design trade-offs, and provides a case study demonstrating closed-loop control under wireless constraints.
Findings
Proposed a modular LAWN architecture with key performance metrics.
Analyzed control, communication, and estimation trade-offs.
Case study showing effective closed-loop coordination.
Abstract
This article introduces a control-oriented low-altitude wireless network (LAWN) that integrates near-ground communications and remote estimation of the internal system state. This integration supports reliable networked control in dynamic aerial-ground environments. First, we introduce the network's modular architecture and key performance metrics. Then, we discuss core design trade-offs across the control, communication, and estimation layers. A case study illustrates closed-loop coordination under wireless constraints. Finally, we outline future directions for scalable, resilient LAWN deployments in real-time and resource-constrained scenarios.
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Taxonomy
TopicsUAV Applications and Optimization · Underwater Vehicles and Communication Systems · Energy Efficient Wireless Sensor Networks
