A new tutorial and survey paper explores the integration of Large Language Models (LLMs) into agentic AI systems for controlling 5G and 6G networks. The paper addresses the gap in existing research by focusing on protocol integration, evaluation, and standardization alignment between agentic AI and Next-Generation Networks (NGNs). It details the control, management, and AI-native planes of 5G and 6G, along with the foundations of agentic systems like reasoning and planning. The survey then maps these capabilities onto 5G/6G control surfaces and identifies future challenges in autonomous telecommunications. AI
IMPACT This paper outlines how LLMs can enable autonomous control in future telecommunications networks, potentially accelerating the development of intelligent network management systems.
RANK_REASON The cluster contains an academic paper detailing a survey and tutorial on a specific technical topic. [lever_c_demoted from research: ic=1 ai=1.0]
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