From Ground to Sky: Architectures, Applications, and Challenges Shaping Low-Altitude Wireless Networks

TL;DR

The paper introduces LAWN, a reconfigurable 3D low-altitude wireless network that tightly integrates data transmission, control, sensing, and computing across aerial and terrestrial nodes. It presents a four-plane architecture (data, control, sensing, and intelligence&computing) and discusses standardization gaps, enabling technologies (ISAC, delay-Doppler waveforms, semantic communications, AI/edge), and a case study on swarm coordination in post-disaster scenarios. The work highlights cross-layer challenges—3D spectrum coexistence, synchronization, low-latency control, security, energy, connectivity resilience, and AI explainability—and offers a research roadmap for practical deployment. By illustrating both simulations and a real-world drone swarm experiment, it demonstrates LAWNs’ potential to transform urban logistics, rural sensing, disaster response, and urban air mobility through coordinated sensing, control, and computation. The proposed LAWN framework thus provides a foundation for future standards, architectures, and deployments in the evolving low-altitude ecosystem.

Abstract

In this article, we introduce a novel low-altitude wireless network (LAWN), which is a reconfigurable, three-dimensional (3D) layered architecture. In particular, the LAWN integrates connectivity, sensing, control, and computing across aerial and terrestrial nodes that enable seamless operation in complex, dynamic, and mission-critical environments. Different from the conventional aerial communication systems, LAWN's distinctive feature is its tight integration of functional planes in which multiple functionalities continually reshape themselves to operate safely and efficiently in the low-altitude sky. With the LAWN, we discuss several enabling technologies, such as integrated sensing and communication (ISAC), semantic communication, and fully-actuated control systems. Finally, we identify potential applications and key cross-layer challenges. This article offers a comprehensive roadmap for future research and development in the low-altitude airspace.

Figures (4)

• Figure 1: The low-altitude wireless network (LAWN) framework integrates a diverse ecosystem of aerial platforms operating below 3,000 meters to enable a multi-functional, reconfigurable 3D network. The control and non-payload communication (CNPC) links ensure reliable control, the payload communication signals handle the transmission of mission-specific data, and the sensing signals enable active environmental perception.
• Figure 2: The network architecture of a LAWN. There are three tightly coupled functional planes, i.e., the data plane, the control plane, and the sensing plane to provide the capabilities of data transmission, environmental awareness, and flight control. An auxiliary intelligence&computing plane further supports distributed inference and hierarchical onboard–edge–cloud processing to enable timely decision-making.
• Figure 3: Enabling technologies for LAWNs. Integrated sensing and communications merges data delivery with environmental awareness. Delay–Doppler waveforms offer high-mobility robustness. Semantic communication compresses multimodal sensor data. Edge intelligence and large language models distribute perception, prediction, and symbolic reasoning. Fully-actuated control systems close the sensing–control loop through wireless control links.
• Figure 4: Case study of LAWN-assisted swarm coordination in post-disaster scenarios. A ground node disseminates flight/formation updates via G2A links and reliable C2 signaling, collects mission payloads via A2G links, and leverages A2A links among drones for local information sharing and cooperative coordination.