Emerging Artificial Intelligence for Intelligent Sensing, Communication, Computing and Control in Low-Altitude Economy Networks

Dear Colleagues,

Low-altitude systems encompassing unmanned aerial vehicles (UAVs) and other aerial platforms, are emerging as key enablers of many applications, such as smart transportation, emergency communications, environmental monitoring, and precision agriculture. These systems form the foundation of low-altitude economic networks, which are characterized by high mobility, constrained onboard resources, and dynamically changing airspace conditions. Such features necessitate advanced capabilities in sensing, communication, computing, and control.

The rapid evolution of artificial intelligence (AI) technologies, such as deep learning, generative AI models, and large language models (LLMs), offers transformative potential for low-altitude networks. AI-driven approaches can empower intelligent trajectory planning, autonomous decision-making, adaptive resource management, and resilient network control, significantly enhancing the operational efficiency and autonomy of low-altitude systems.

This Special Issue seeks to promote interdisciplinary collaboration across the domains of artificial intelligence, wireless communications, and aerial robotics, with the aim of enhancing the functionality and intelligence of low-altitude economy networks and unlock their full potential across diverse application domains.

Topics of interest include, but are not limited to:

• AI-empowered autonomous aerial decision-making for low-altitude networks;
• AI-driven anomaly detection, security, and privacy in aerial systems;
• Federated learning and distributed intelligence for low-altitude networks;
• Digital twin-assisted design and performance evaluation of low-altitude networks;
• Lightweight AI models for resource-constrained aerial platforms;
• Explainable AI for trustworthy and reliable decision-making in low-altitude networks;
• Generative AI models for advanced capabilities in low-altitude networks;
• LLMs for intelligent control and communication in low-altitude networks.

Dr. Tianchen Ruan
Dr. Qingtian Wang
Dr. Longyu Zhou
Guest Editors

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