mlsanityData to 14 Oct 2026

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

arXiv 2607.16066 ↗First posted 17 Jul 2026cs.NI cs.AIcited by 0

On the map: LLM agents and tool use → Agentic AI for wireless networks

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.

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.

Builds on

19 of 177 references.

Closest ancestors · 5

Same direction, newest first

  1. 2025Reflection-Driven Self-Optimization 6G Agentic AI RAN via Simulation-in-the-Loop Workflows8 Dec
  2. 2025Towards 6G Native-AI Edge Networks: A Semantic-Aware and Agentic Intelligence Paradigm4 Dec
  3. 2025Tele-LLM-Hub: Building Context-Aware Multi-Agent LLM Systems for Telecom Networks12 Nov
  4. 2025Agentic AI for Mobile Network RAN Management and Optimization4 Nov
  5. 2025AgentRAN: An Agentic AI Architecture for Autonomous Control of Open 6G Networks25 Aug

Other references · 14

  1. 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,568
  2. 2023API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMscited by 591
  3. 2024A Survey on Knowledge Distillation of Large Language Modelscited by 284
  4. 2023Introspective Tips: Large Language Model for In-Context Decision Makingcited by 28
  5. 2025End-to-End Edge AI Service Provisioning Framework in 6G ORANcited by 7
  6. 2025AutoRAN: Automated and Zero-Touch Open RAN Systemscited by 6
  7. 2025LLM-hRIC: LLM-empowered Hierarchical RAN Intelligent Control for O-RANcited by 6
  8. 2025Agentic AI for 6G: A New Paradigm for Autonomous RAN Security Compliancecited by 6
  9. 2025The Dark Side of LLMs: Agent-based Attack Vectors for System-level Compromisecited by 4
  10. 2021Toward Native Artificial Intelligence in 6G Networks: System Design, Architectures, and Paradigmscited by 3
  11. 2025Integrated LLM-Based Intrusion Detection with Secure Slicing xApp for Securing O-RAN-Enabled Wireless Network Deploymentscited by 2
  12. 2025Proactive DDoS Detection and Mitigation in Decentralized Software-Defined Networking via Port-Level Monitoring and Zero-Training Large Language Modelscited by 2
2 more
  1. 2025RAG-Empowered LLM-Driven Dynamic Radio Resource Management in Open 6G RANcited by 2
  2. 2025Towards xApp Conflict Evaluation with Explainable Machine Learning and Causal Inference in O-RANcited by 1

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Not cited yet.

Similar, not cited

Close in wording, no citation either way

  1. 2026From Agentic to Autogenic Network Management for AI-Native 6G and Beyond: A Standards Perspective
  2. 2026Agentic Wireless Communication for 6G: Intent-Aware and Continuously Evolving Physical-Layer Intelligence
  3. 20266G Needs Agents: Toward Agentic AI-Native Networks for Autonomous Intelligence
  4. 2026An Agentic AI Control Plane for 6G Network Slice Orchestration, Monitoring, and Trading
  5. 2025Advanced Architectures Integrated with Agentic AI for Next-Generation Wireless Networks
  6. 2026ComAgent: Multi-LLM based Agentic AI Empowered Intelligent Wireless Networks
  7. 2026Agentic AI Empowered Intent-Based Networking for 6G
  8. 2025A Tutorial on Cognitive Biases in Agentic AI-Driven 6G Autonomous Networks