AI Agent Based Autonomous Cognitive Architecture for 6G Core Network
Menghan Yu, Yanxia Xing, Xu Xia, Jing Jia · 2025
With the growing demand for advanced communication systems and the integration of AI technologies, 6G networks are set to provide enhanced performance and enable new applications such as autonomous driving and mixed reality. This paper presents a novel AI agent-based autonomous cognitive architecture for the 6G core network. The proposed architecture leverages AI agents to autonomously perceive, understand, and act based on real-time network data, thus achieving a higher level of network intelligence and responsiveness. The architecture is designed to address the limitations of current passive AI mode in 5G by providing a proactive, adaptive, and personalized approach to network AI services. The paper discusses the system architecture, service flow, and potential benefits of AI agents in the future of 6G networks.