mlsanityData to 7 Oct 2026

WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks

arXiv 2409.07964 ↗First posted 12 Sep 2024cs.NI cs.AI cs.LGcited by 0

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

Abstract (arXiv)

Wireless networks are increasingly facing challenges due to their expanding scale and complexity. These challenges underscore the need for advanced AI-driven strategies, particularly in the upcoming 6G networks. In this article, we introduce WirelessAgent, a novel approach leveraging large language models (LLMs) to develop AI agents capable of managing complex tasks in wireless networks. It can effectively improve network performance through advanced reasoning, multimodal data processing, and autonomous decision making. Thereafter, we demonstrate the practical applicability and benefits of WirelessAgent for network slicing management. The experimental results show that WirelessAgent is capable of accurately understanding user intent, effectively allocating slice resources, and consistently maintaining optimal performance.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in Agentic AI for wireless networks, one of 16 directions in LLM agents and tool use. Builds on 24 of its 49 references that are in the map. First posted on arXiv 12 Sep 2024.

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24 of 49 references.

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Same direction, newest first

  1. 2024When Large Language Model Agents Meet 6G Networks: Perception, Grounding, and Alignment15 Jan

Other references · 23

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
  2. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
  3. 2023Reflexion: Language Agents with Verbal Reinforcement Learningcited by 4,064
  4. 2023A Survey on Large Language Model based Autonomous Agentscited by 2,203
  5. 2023The Rise and Potential of Large Language Model Based Agents: A Surveycited by 1,422
  6. 2023HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Facecited by 1,173
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  10. 2019The Roadmap to 6G -- AI Empowered Wireless Networkscited by 150
  11. 2024Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunitiescited by 83
  12. 2023TeleQnA: A Benchmark Dataset to Assess Large Language Models Telecommunications Knowledgecited by 62
11 more
  1. 2023Large Generative AI Models for Telecom: The Next Big Thing?cited by 52
  2. 2023Large Language Models for Telecom: Forthcoming Impact on the Industrycited by 44
  3. 2024WirelessLLM: Empowering Large Language Models Towards Wireless Intelligencecited by 43
  4. 2024LLM4CP: Adapting Large Language Models for Channel Predictioncited by 42
  5. 2019Wireless Networks Design in the Era of Deep Learning: Model-Based, AI-Based, or Both?cited by 38
  6. 2018Application of Machine Learning in Wireless Networks: Key Techniques and Open Issuescited by 29
  7. 2018Deep Reinforcement Learning for Resource Management in Network Slicingcited by 27
  8. 2024Large Language Models for Power Scheduling: A User-Centric Approachcited by 8
  9. 2024Leveraging Fine-Tuned Retrieval-Augmented Generation with Long-Context Support: For 3GPP Standardscited by 8
  10. 2024Large Language Models meet Network Slicing Management and Orchestrationcited by 7
  11. 2024A Federated Online Restless Bandit Framework for Cooperative Resource Allocationcited by 1

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  3. 2026ComAgent: Multi-LLM based Agentic AI Empowered Intelligent Wireless Networks
  4. 2023Wireless Multi-Agent Generative AI: From Connected Intelligence to Collective Intelligence
  5. 2026Reimagining RAN Automation in 6G: An Agentic AI Framework with Hierarchical Online Decision Transformer ↗
  6. 2026Agentic Wireless Communication for 6G: Intent-Aware and Continuously Evolving Physical-Layer Intelligence
  7. 2026Agentic AI Empowered Intent-Based Networking for 6G
  8. 2025Learning Multi-Access Point Coordination in Agentic AI Wi-Fi with Large Language Models