The flexible-duplex cell-free architecture with joint AP mode selection, receive combining, and AN covariance optimization achieves substantial secrecy-rate gains over fixed-role cell-free systems for UAV uplink.
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From ground to sky: Architectur es, applications, and challenges shaping low-altitude wirele ss networks
13 Pith papers cite this work. Polarity classification is still indexing.
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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.
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UNVERDICTED 13roles
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An SSB-based sensing-assisted predictive robust beamforming framework is proposed for high-mobility UAV communications in LAWN that replaces CSI feedback with sensing-driven state estimation and uncertainty-aware optimization to maximize average network sum-rate.
A heterogeneous mixture-of-experts RL architecture optimizes energy-efficient multimodal ISAC in mobile V2I networks by achieving event-triggered sensing policies that minimize long-term costs while ensuring low sensing errors and reliable links.
Cooperative AI sensing with FWA CPEs using CSI features, attention, and Transformer achieves 0.63% missed detection and 6.5m positioning error for UAVs.
A dual-power phase-coded pulse waveform for full-duplex ISAC eliminates blind range and improves long-range multi-target detection under residual self-interference compared to OFDM and LFM baselines.
GW-HGNN applies heterogeneous graph learning to balance image fidelity and transmission costs in drone-based 3D scene reconstruction, outperforming prior methods on rendering metrics while running 100x faster than MOSEK.
DD-a-OFDM augments classical OFDM with DD-domain channel estimation using TF pilots, transforming ICI into Gaussian noise, and shows lower BER than OFDM plus better estimation accuracy than OTFS at reduced pilot cost.
Introduces LAWN as a 3D multifunctional wireless network and analyzes coupling between airspace capacity and wireless channel capacity to identify limits.
The paper proposes a task-driven framework connecting LAE scenarios, air-ground architecture, and SCCSI co-optimization toolboxes for collaborative low-altitude systems.
SAR enables global environmental awareness and cooperative multi-platform sensing to support reliable UAV operations in the low-altitude economy.
A three-layered architecture is proposed for co-designing UAV communication and control to improve resilience against wireless challenges in low-altitude economy applications.
A comprehensive survey on low-altitude wireless network (LAWN) systems covering fundamentals, evolution of designs, performance metrics, privacy and security concerns, and airspace structuring for practical deployment.
The tutorial reviews the evolution, core principles, enabling technologies, challenges, and future directions of integrated sensing and communication (ISAC) in 6G networks.
citing papers explorer
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Low-Altitude Wireless Networks: The Next Horizon of Wireless Infrastructure
Introduces LAWN as a 3D multifunctional wireless network and analyzes coupling between airspace capacity and wireless channel capacity to identify limits.
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Collaborative Air-Ground Sensing, Communication, Computing, Storage, and Intelligence for Low-Altitude Economy
The paper proposes a task-driven framework connecting LAE scenarios, air-ground architecture, and SCCSI co-optimization toolboxes for collaborative low-altitude systems.
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UAV Control and Communication Enabled Low-Altitude Economy: Challenges, Resilient Architecture and Co-design Strategies
A three-layered architecture is proposed for co-designing UAV communication and control to improve resilience against wireless challenges in low-altitude economy applications.