Generative AI for Advanced UAV Networking

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.

Authors

Institutions

Publication Details

Journal
IEEE Network
Published
2024-11-11
DOI
https://doi.org/10.1109/mnet.2024.3494862
Citations
48
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
62.35

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Generative AI for Advanced UAV Networking

Jiawen Kang, Hongyang Du, Geng Sun, Dusit Niyato et al.
48 citations
IEEE Network
UAV Applications and Optimization
62.35
article

Generative AI for Advanced UAV Networking

Jiawen Kang, Hongyang Du, Geng Sun, Dusit Niyato, Ping Zhang, Sumei Sun, Jing Wu, Wenwen Xie
article en
48 citations

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.

IEEE NetworkVol. 39(4)
Agency for Science, Technology and Research (SG), Guangdong University of Technology (CN), Beijing University of Posts and Telecommunications (CN), Nanyang Technological University (SG), Jilin University (CN), Institute for Infocomm Research (SG), Jilin Province Science and Technology Department (CN), University of Hong Kong (HK)
National Research Foundation, National Research Foundation Singapore, National Natural Science Foundation of China, People's Government of Jilin Province, Ministry of Education, India, Info-communications Media Development Authority
Affordable and clean energy
Openalex Percentile: Top 0%
UAV Applications and Optimization
62.35
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.