AGI Revolutionizing Low-Altitude Economy: UAV Networking and Applications

The low-altitude economy leverages airspace up to 3000 meters for applications like urban transportation, logistics, and agriculture, utilizing unmanned aerial vehicles (UAVs). Artificial General Intelligence (AGI) enhances UAV capabilities through autonomous perception, learning, and decision-making, enabling them to handle tasks effectively. This special issue explores the intersection of these two fields, focusing on how AGI can drive innovation and efficiency in the low-altitude economy.

AGI empowers UAVs to navigate complex environments, optimize flight paths, and enhance energy efficiency. In low-altitude communication networks, AGI improves cognitive abilities, facilitates self-organization and repair, and assesses security vulnerabilities. The integration of AGI allows for more dynamic and responsive UAV operations, crucial for the diverse missions within the low-altitude economy.

Implementing AGI in low-altitude environments presents significant challenges, including the need for robust AGI models that prioritize UAV communication security and autonomously detect and rectify network faults. The dynamic nature of low-altitude airspace requires AGI models capable of handling complex tasks, integrating sensor data, and making real-time decisions. Overcoming these challenges is crucial for realizing the full potential of AGI in this domain.

AGI offers solutions for optimizing resource management, enhancing cognitive communication capabilities, and designing efficient protocols for low-altitude communication systems. Integrated satellite, low-altitude, and terrestrial communication networks can leverage AGI for improved performance. AGI-enabled semantic communication further enhances the efficiency and reliability of these networks.

AGI-based UAV detection, positioning, and navigation are essential for low-altitude logistics. AGI-enabled swarm technology can optimize operations in various low-altitude economy applications. Furthermore, AGI-based environment perception and reconstruction technologies, utilizing low-altitude UAVs, provide valuable data for decision-making and operational efficiency.

Security and privacy are paramount when deploying AGI in low-altitude communication networks. Protecting AGI models from cyber threats and ensuring the privacy of data collected by UAVs are critical considerations. Research and development in secure AGI models and privacy-preserving techniques are essential for the responsible deployment of AGI in this context.

Future research should focus on developing more robust and efficient AGI models, improving the integration of AGI with existing communication infrastructure, and addressing the security and privacy challenges associated with AGI deployment. Exploring new applications of AGI in the low-altitude economy and conducting real-world evaluations of AGI-enabled UAV systems are also important areas for future investigation.

Prospective authors are invited to submit manuscripts adhering to IEEE Transactions on Cognitive Communications and Networking guidelines. Submissions should focus on theoretical advancements, technological solutions, and case studies related to AGI in the low-altitude economy. Key dates include a manuscript submission deadline of July 1, 2025, and publication in 2026. Specific topics of interest include AGI-based integrated communication, sensing, and computing; resource management; cognitive communication enhancement; and security and privacy considerations.