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 formalizes 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.
Blogger's Review: This article delves into the application of agentic AI in 5G and 6G networks, underscoring the importance of protocol integration and standardization, providing valuable insights and challenges for the future of telecommunications.