Generative AI for Advanced UAV Networking
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Abstract (arXiv)
With the impressive achievements of chatGPT and Sora, generative artificial intelligence (GAI) has received increasing attention. Not limited to the field of content generation, GAI is also widely used to solve the problems in wireless communication scenarios due to its powerful learning and generalization capabilities. Therefore, we discuss key applications of GAI in improving unmanned aerial vehicle (UAV) communication and networking performance in this article. Specifically, we first review the key technologies of GAI and the important roles of UAV networking. Then, we show how GAI can improve the communication, networking, and security performances of UAV systems. Subsequently, we propose a novel framework of GAI for advanced UAV networking, and then present a case study of UAV-enabled spectrum map estimation and transmission rate optimization based on the proposed framework to verify the effectiveness of GAI-enabled UAV systems. Finally, we discuss some important open directions.
Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Apr 2024.
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Citing papers per year: 2024: 4; 2025: 6; 2026: 3.
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- 2024Large Language Models for UAVs: Current State and Pathways to the Futurecited by 33
- 2025Generative Diffusion Models for Wireless Networks: Fundamental, Architecture, and State-of-the-Artcited by 13
- 2024Leveraging Large Language Models for Integrated Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directionscited by 10
- 2025Next-Generation LLM for UAV: From Natural Language to Autonomous Flightcited by 10
- 2025Diffusion Models for Smarter UAVs: Decision-Making and Modelingcited by 7
- 2024DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approachcited by 5
- 2024When Graph Meets Retrieval Augmented Generation for Wireless Networks: A Tutorial and Case Studycited by 3
- 2025Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learningcited by 3
- 2025A4FN: an Agentic AI Architecture for Autonomous Flying Networkscited by 2
- 2025Chat with UAV -- Human-UAV Interaction Based on Large Language Modelscited by 1
- 2026Traffic Simulation in Ad Hoc Network of Flying UAVs with Generative AI Adaptationcited by 0
- 2026Generative Communications: Overview, Technologies, and Trendscited by 0
- 2026Unlocking Cross-Scenario Physical Layer Security: A Mixture-of-Experts Framework with Generative Diffusion Models22 Sep 2026
- 2026Generative Communications: Overview, Technologies, and Trends10 Jul 2026
- 2026Traffic Simulation in Ad Hoc Network of Flying UAVs with Generative AI Adaptation1 Jan 2026
- 2025Chat with UAV -- Human-UAV Interaction Based on Large Language Models9 Dec 2025
- 2025A4FN: an Agentic AI Architecture for Autonomous Flying Networks4 Oct 2025
- 2025Next-Generation LLM for UAV: From Natural Language to Autonomous Flight2 Oct 2025
- 2025Generative Diffusion Models for Wireless Networks: Fundamental, Architecture, and State-of-the-Art22 Jul 2025
- 2025Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning18 Apr 2025
- 2025Diffusion Models for Smarter UAVs: Decision-Making and Modeling10 Jan 2025
- 2024When Graph Meets Retrieval Augmented Generation for Wireless Networks: A Tutorial and Case Study10 Dec 2024
- 2024DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach13 Nov 2024
- 2024Leveraging Large Language Models for Integrated Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directions5 Jul 2024
1 more
- 2024Large Language Models for UAVs: Current State and Pathways to the Futurecited by 33
- 2024Leveraging Large Language Models for Integrated Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directionscited by 10
- 2025Next-Generation LLM for UAV: From Natural Language to Autonomous Flightcited by 10
- 2024DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approachcited by 5
- 2025Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learningcited by 3
- 2025Chat with UAV -- Human-UAV Interaction Based on Large Language Modelscited by 1
- 2026Traffic Simulation in Ad Hoc Network of Flying UAVs with Generative AI Adaptationcited by 0
- 2026Generative Communications: Overview, Technologies, and Trendscited by 0
- 2026Generative Communications: Overview, Technologies, and Trends10 Jul 2026
- 2026Traffic Simulation in Ad Hoc Network of Flying UAVs with Generative AI Adaptation1 Jan 2026
- 2025Chat with UAV -- Human-UAV Interaction Based on Large Language Models9 Dec 2025
- 2025Next-Generation LLM for UAV: From Natural Language to Autonomous Flight2 Oct 2025
- 2025Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning18 Apr 2025
- 2024DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach13 Nov 2024
- 2024Leveraging Large Language Models for Integrated Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directions5 Jul 2024
- 2024Large Language Models for UAVs: Current State and Pathways to the Future2 May 2024