这篇综述把LLM智能体怎么用在5G/6G网络上讲清楚了，覆盖架构、协议和标准化，做通信AI的可以看看。
该论文以教程与综述形式，系统梳理了LLM驱动的智能体AI在5G/6G网络中的应用。Part I形式化5G/6G的控制、管理和AI原生平面，涵盖推理、规划、工具使用、多智能体协调等基础。Part II将智能体能力映射到5G/6G控制面、标准组织及6G主要倡议，指出开放挑战。文章弥补了协议集成、评估和标准化对齐的研究空白。
LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization
Agentic Artificial Intelligence (AI), enabled by Large Language Models, marks a shift from rule-based automation toward autonomous, goal-driven control of Next-Generation Networks (NGNs). Existing surveys treat the two domains in isolation, leaving protocol integration, evaluation, and standardization alignment underexplored. To address this gap, a two-part tutorial-and-survey is presented. Part I formalises the control, management, and AI-native planes of 5G and 6G. It then covers the foundations of agentic systems: reasoning, planning, tool use, multi-agent coordination, and evaluation. Part II maps agentic capabilities onto 5G/6G control surfaces, standardization, and major 6G initiatives. Finally, it identifies open challenges shaping autonomous telecommunications.