Joint Trajectory Control, Power Control, and Collection Schedule in UAV-Assisted Anti-Jamming Wireless Data Collection With Imperfect CSI

IF 3.7 3区 计算机科学 Q2 TELECOMMUNICATIONS
Yuan Bian;Jianbo Hu;Peng Zhang;Shuo Wang;Yingyang Wang;Jiping Cong;Chaoqi Fu
{"title":"Joint Trajectory Control, Power Control, and Collection Schedule in UAV-Assisted Anti-Jamming Wireless Data Collection With Imperfect CSI","authors":"Yuan Bian;Jianbo Hu;Peng Zhang;Shuo Wang;Yingyang Wang;Jiping Cong;Chaoqi Fu","doi":"10.1109/LCOMM.2024.3488178","DOIUrl":null,"url":null,"abstract":"This letter presents a new approach to enhance the anti-jamming capability of unmanned aerial vehicle (UAV)-assisted wireless data collection, specifically addressing the challenge of multi-jammers attacks in the context of imperfect channel state information (CSI). The proposed approach is designed for a scenario where a single UAV is responsible for collecting data from multiple ground sensors, while encountering multi-jammers from a ground-based adversary. The objective is to maximize the average data rate of all sensors while ensuring a sufficient amount of data is collected from each sensor. The optimization problem is formulated as a mixed-integer non-convex problem, and successive convex approximation(SCA) technique is employed, which jointly optimizes the collection schedule, power control and UAV trajectory. Numerical simulations demonstrate that the proposed approach outperforms in the presence of interference and imperfect CSI.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"28 12","pages":"2839-2843"},"PeriodicalIF":3.7000,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Communications Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10738511/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
引用次数: 0

Abstract

This letter presents a new approach to enhance the anti-jamming capability of unmanned aerial vehicle (UAV)-assisted wireless data collection, specifically addressing the challenge of multi-jammers attacks in the context of imperfect channel state information (CSI). The proposed approach is designed for a scenario where a single UAV is responsible for collecting data from multiple ground sensors, while encountering multi-jammers from a ground-based adversary. The objective is to maximize the average data rate of all sensors while ensuring a sufficient amount of data is collected from each sensor. The optimization problem is formulated as a mixed-integer non-convex problem, and successive convex approximation(SCA) technique is employed, which jointly optimizes the collection schedule, power control and UAV trajectory. Numerical simulations demonstrate that the proposed approach outperforms in the presence of interference and imperfect CSI.
求助全文
约1分钟内获得全文 求助全文
来源期刊
IEEE Communications Letters
IEEE Communications Letters 工程技术-电信学
CiteScore
8.10
自引率
7.30%
发文量
590
审稿时长
2.8 months
期刊介绍: The IEEE Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of communication over different media and channels including wire, underground, waveguide, optical fiber, and storage channels. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of communication systems.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信