# LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization

arXiv: https://arxiv.org/abs/2607.16066 · HTML: https://mlsanity.com/paper/2607.16066/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Placed in Agentic AI for wireless networks, one of 16 directions in LLM agents and tool use.
- Builds on 19 of its 177 references that are in the map.
- First posted on arXiv 17 Jul 2026.

## Placed in

- LLM agents and tool use / [Agentic AI for wireless networks](https://mlsanity.com/agents/agentic-ai-for-wireless-networks/)

## Builds on (most cited first, 19 of 19)

- [Generative Agents: Interactive Simulacra of Human Behavior](https://mlsanity.com/paper/2304.03442/) (2023)
- [API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs](https://mlsanity.com/paper/2304.08244/) (2023)
- [A Survey on Knowledge Distillation of Large Language Models](https://mlsanity.com/paper/2402.13116/) (2024)
- [Introspective Tips: Large Language Model for In-Context Decision Making](https://mlsanity.com/paper/2305.11598/) (2023)
- [AgentRAN: An Agentic AI Architecture for Autonomous Control of Open 6G Networks](https://mlsanity.com/paper/2508.17778/) (2025)
- [End-to-End Edge AI Service Provisioning Framework in 6G ORAN](https://mlsanity.com/paper/2503.11933/) (2025)
- [AutoRAN: Automated and Zero-Touch Open RAN Systems](https://mlsanity.com/paper/2504.11233/) (2025)
- [LLM-hRIC: LLM-empowered Hierarchical RAN Intelligent Control for O-RAN](https://mlsanity.com/paper/2504.18062/) (2025)
- [Agentic AI for 6G: A New Paradigm for Autonomous RAN Security Compliance](https://mlsanity.com/paper/2512.12400/) (2025)
- [The Dark Side of LLMs: Agent-based Attack Vectors for System-level Compromise](https://mlsanity.com/paper/2507.06850/) (2025)
- [Toward Native Artificial Intelligence in 6G Networks: System Design, Architectures, and Paradigms](https://mlsanity.com/paper/2103.02823/) (2021)
- [Towards 6G Native-AI Edge Networks: A Semantic-Aware and Agentic Intelligence Paradigm](https://mlsanity.com/paper/2512.04405/) (2025)
- [Integrated LLM-Based Intrusion Detection with Secure Slicing xApp for Securing O-RAN-Enabled Wireless Network Deployments](https://mlsanity.com/paper/2504.00341/) (2025)
- [Proactive DDoS Detection and Mitigation in Decentralized Software-Defined Networking via Port-Level Monitoring and Zero-Training Large Language Models](https://mlsanity.com/paper/2511.00460/) (2025)
- [Agentic AI for Mobile Network RAN Management and Optimization](https://mlsanity.com/paper/2511.02532/) (2025)
- [Tele-LLM-Hub: Building Context-Aware Multi-Agent LLM Systems for Telecom Networks](https://mlsanity.com/paper/2511.09087/) (2025)
- [RAG-Empowered LLM-Driven Dynamic Radio Resource Management in Open 6G RAN](https://mlsanity.com/paper/2511.22933/) (2025)
- [Reflection-Driven Self-Optimization 6G Agentic AI RAN via Simulation-in-the-Loop Workflows](https://mlsanity.com/paper/2512.20640/) (2025)
- [Towards xApp Conflict Evaluation with Explainable Machine Learning and Causal Inference in O-RAN](https://mlsanity.com/paper/2510.13031/) (2025)

## Abstract (arXiv)

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.