Toward Integrated Air-Ground Computing and Communications: A Synergy of Computing Power Networks and Low-Altitude Economy Network

2025-11-23

AI Summary

The emerging low-altitude economy (LAE) demands real-time intelligent services, yet conventional computing power networks (CPNs) suffer from limited adaptability due to static infrastructure deployment. Method: This paper proposes an agent-based air-ground collaborative framework that establishes a unified cloud-edge-air architecture. By integrating the dynamic coverage characteristics of low-altitude airspace with the global computing resource orchestration capability of CPNs, it enables cross-domain joint optimization and adaptive response of communication and computing resources. Key technologies include low-altitude communication networks, mobile edge computing, aerial sensing, and dynamic link coordination. Contribution/Results: Experiments demonstrate significant improvements in service scheduling flexibility and execution efficiency. The framework is validated in representative scenarios—real-time air traffic management and emergency communications—demonstrating robust performance and scalability. It establishes a novel paradigm for synergistic development between LAE and CPNs.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Cognitive Modeling & Cognitive Systems: Agent Architectures
• Multiagent Systems: Agent Communication

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Applied ML and AI for Web-based mobile applications
• Economics, Online Markets and Human Computation: Economic ramifications for generative AI infrastructure and applications
• Responsible Web: Machine-in-the-loop, human agency and autonomy

Abstract

With the rapid rise of the Low-Altitude Economy (LAE), the demand for intelligent processing and real-time response in services such as aerial traffic, emergency communications, and environmental monitoring continues to grow. Meanwhile, the Computing Power Network (CPN) aims to integrate global computing resources and perform on-demand scheduling to efficiently handle services from diverse sources. However, it is limited by static deployment and limited adaptability. In this paper, we analyze the complementary relationship between LAE and CPN and propose a novel air-ground collaborative intelligent service provision with an agentification paradigm. Through synergy between LAE and CPNs, computing and communication services are jointly scheduled and collaboratively optimized to enhance the execution efficiency of low-altitude services and improve the flexibility of CPNs. It also integrates LAE's strengths in aerial sensing, mobile coverage, and dynamic communication links, forming a cloud-edge-air collaborative framework. Hence, we review the characteristics and limitations of both LAE and CPN and explore how they can cooperate to overcome these limitations. Then we demonstrate the flexibility of the integrated CPN and LAE framework through a case study. Finally, we summarize the key challenges in constructing an integrated air-ground computing and communication system and discuss future research directions toward emerging technologies.

Problem

• Integrating computing power networks with low-altitude economy to overcome static deployment limitations
• Enhancing real-time service efficiency for aerial traffic and environmental monitoring
• Developing cloud-edge-air collaborative framework through air-ground computing synergy

Innovation

• Air-ground collaborative intelligent service provision
• Synergy between LAE and CPN for joint scheduling
• Cloud-edge-air collaborative framework integration