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AI Agent Centric Network: New Network Design Paradigm and Related Key Technologies
Duan Xiangyang, Yang Li, Zhang Kangjie, Sun Wenwen, Xie Feng, Niu Li
ZTE Communications    2026, 24 (2): 3-15.   DOI: 10.12142/ZTECOM.202602002
Abstract92)   HTML42)    PDF (556KB)(32)       Save

The diverse and heterogeneous terminal artificial intelligence (AI) agents and network-element AI agents are flourishing in a flywheel-like manner. The new characteristics of their capabilities and behaviors will reshape the service paradigm and traffic logic of future mobile information networks. This article first elaborates on the dynamics of the intertwined and integrated development of the AI agent/robot industry and the wireless communication industry. Then, based on an analysis of the new capabilities and behavioral characteristics of terminal AI agents and network-element AI agents, the article deduces a new design paradigm for future AI agent-centric (AA-Centric) networks, which includes seven core features: intent-driven, proactive service, distributed collaboration, efficient customization, deterministic guarantee, online evolution, and infinite generation. Guided by this new paradigm, the new architecture of 6G networks is further deduced, and the key supporting technologies are expounded. Finally, it is concluded that AI agents play a crucial role in driving the innovation of future network architectures and the ultimate expansion of capabilities.

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Autonomous Network Technology Innovation in Digital and Intelligent Era
DUAN Xiangyang, KANG Honghui, ZHANG Jianjian
ZTE Communications    2022, 20 (4): 52-61.   DOI: 10.12142/ZTECOM.202204007
Abstract294)   HTML4)    PDF (9006KB)(165)       Save

The issues of wireless communication network autonomy, the definition of capability level and the concept of AI-native solution based on the integration of the information communication data technology (ICDT) are first introduced in this paper. A series of innovative technologies proposed by ZTE Corporation, such as an autonomous evolution network and intelligent orchestration network, are then analyzed. These technologies are developed to realize the evolution of wireless networks to Level-4 and Level-5 intelligent networks. It is expected that the future AI-native intelligent network system will be built based on innovative technologies such as digital twins, intent-based networking, and the data plane and intelligent plane. These new technical paradigms will promote the development of intelligent B5G and 6G networks.

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