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- Publisher Website: 10.1109/MNET.2024.3494862
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Article: Generative AI for Advanced UAV Networking
| Title | Generative AI for Advanced UAV Networking |
|---|---|
| Authors | |
| Keywords | diffusion model Generative AI optimization UAV communications and networking UAV spectrum estimation |
| Issue Date | 2024 |
| Citation | IEEE Network, 2024 How to Cite? |
| Abstract | 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. |
| Persistent Identifier | http://hdl.handle.net/10722/353232 |
| ISSN | 2023 Impact Factor: 6.8 2023 SCImago Journal Rankings: 3.896 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Sun, Geng | - |
| dc.contributor.author | Xie, Wenwen | - |
| dc.contributor.author | Niyato, Dusit | - |
| dc.contributor.author | Du, Hongyang | - |
| dc.contributor.author | Kang, Jiawen | - |
| dc.contributor.author | Wu, Jing | - |
| dc.contributor.author | Sun, Sumei | - |
| dc.contributor.author | Zhang, Ping | - |
| dc.date.accessioned | 2025-01-13T03:02:46Z | - |
| dc.date.available | 2025-01-13T03:02:46Z | - |
| dc.date.issued | 2024 | - |
| dc.identifier.citation | IEEE Network, 2024 | - |
| dc.identifier.issn | 0890-8044 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/353232 | - |
| dc.description.abstract | 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. | - |
| dc.language | eng | - |
| dc.relation.ispartof | IEEE Network | - |
| dc.subject | diffusion model | - |
| dc.subject | Generative AI | - |
| dc.subject | optimization | - |
| dc.subject | UAV communications and networking | - |
| dc.subject | UAV spectrum estimation | - |
| dc.title | Generative AI for Advanced UAV Networking | - |
| dc.type | Article | - |
| dc.description.nature | published_or_final_version | - |
| dc.identifier.doi | 10.1109/MNET.2024.3494862 | - |
| dc.identifier.scopus | eid_2-s2.0-85209766148 | - |
| dc.identifier.eissn | 1558-156X | - |
