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Article: Generative AI for Advanced UAV Networking

TitleGenerative AI for Advanced UAV Networking
Authors
Keywordsdiffusion model
Generative AI
optimization
UAV communications and networking
UAV spectrum estimation
Issue Date2024
Citation
IEEE Network, 2024 How to Cite?
AbstractWith 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.
Persistent Identifierhttp://hdl.handle.net/10722/353232
ISSN
2023 Impact Factor: 6.8
2023 SCImago Journal Rankings: 3.896

 

DC FieldValueLanguage
dc.contributor.authorSun, Geng-
dc.contributor.authorXie, Wenwen-
dc.contributor.authorNiyato, Dusit-
dc.contributor.authorDu, Hongyang-
dc.contributor.authorKang, Jiawen-
dc.contributor.authorWu, Jing-
dc.contributor.authorSun, Sumei-
dc.contributor.authorZhang, Ping-
dc.date.accessioned2025-01-13T03:02:46Z-
dc.date.available2025-01-13T03:02:46Z-
dc.date.issued2024-
dc.identifier.citationIEEE Network, 2024-
dc.identifier.issn0890-8044-
dc.identifier.urihttp://hdl.handle.net/10722/353232-
dc.description.abstractWith 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.-
dc.languageeng-
dc.relation.ispartofIEEE Network-
dc.subjectdiffusion model-
dc.subjectGenerative AI-
dc.subjectoptimization-
dc.subjectUAV communications and networking-
dc.subjectUAV spectrum estimation-
dc.titleGenerative AI for Advanced UAV Networking-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/MNET.2024.3494862-
dc.identifier.scopuseid_2-s2.0-85209766148-
dc.identifier.eissn1558-156X-

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