基于通信性能的无人机放大转发系统轨迹优化

Zhengdong Li
{"title":"基于通信性能的无人机放大转发系统轨迹优化","authors":"Zhengdong Li","doi":"10.1109/ICAICA50127.2020.9182646","DOIUrl":null,"url":null,"abstract":"In this paper, we discuss an unmanned aerial vehicle enabled Amplify-and-Forward Relaying System, where a fixed-wing UAV flies is used as mobile relay, and circular trajectories are set. The system employs a fixed-wing UAV to ferry data from source node to destination node with limited energy consumption. We also choose the amplify-and-forward (AF) as the method of cooperative communication. By adjusting the orbital radius to minimize the propulsion energy consumption of UAV while contenting the communication throughput requirement. To save this, we transform the problem into a discretized equivalent, and discuss its optimal solution depends on whether the problem is convex. By using the algorithm and analyzing the function monotonicity and extremum to get the conclusion. Numerical results show that the precise orbital radius could significantly improve communication performance. And the proposed cache-enabled AF strategy model can provide more communication throughput in the same case, compared to the no cache-enabled AF strategy.","PeriodicalId":113564,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Trajectory Optimization for UAV-Enabled Amplify-and-Forward Relaying System Based on Communication Performance\",\"authors\":\"Zhengdong Li\",\"doi\":\"10.1109/ICAICA50127.2020.9182646\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we discuss an unmanned aerial vehicle enabled Amplify-and-Forward Relaying System, where a fixed-wing UAV flies is used as mobile relay, and circular trajectories are set. The system employs a fixed-wing UAV to ferry data from source node to destination node with limited energy consumption. We also choose the amplify-and-forward (AF) as the method of cooperative communication. By adjusting the orbital radius to minimize the propulsion energy consumption of UAV while contenting the communication throughput requirement. To save this, we transform the problem into a discretized equivalent, and discuss its optimal solution depends on whether the problem is convex. By using the algorithm and analyzing the function monotonicity and extremum to get the conclusion. Numerical results show that the precise orbital radius could significantly improve communication performance. And the proposed cache-enabled AF strategy model can provide more communication throughput in the same case, compared to the no cache-enabled AF strategy.\",\"PeriodicalId\":113564,\"journal\":{\"name\":\"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAICA50127.2020.9182646\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAICA50127.2020.9182646","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

在本文中,我们讨论了一种无人机放大和前向中继系统,其中固定翼无人机飞行作为移动中继,并设置圆形轨迹。系统采用一架固定翼无人机以有限的能耗将数据从源节点传送到目标节点。我们还选择了放大转发(AF)作为合作通信的方式。通过调整轨道半径,在满足通信吞吐量要求的同时使无人机的推进能量消耗最小。为了避免这种情况,我们将问题转化为离散化的等价问题,并讨论了它的最优解取决于问题是否为凸。通过对该算法的应用,并对函数的单调性和极值性进行分析,得出结论。数值结果表明,精确的轨道半径可以显著提高通信性能。在相同的情况下,与不启用缓存的自动对焦策略相比,所提出的启用缓存的自动对焦策略模型可以提供更多的通信吞吐量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trajectory Optimization for UAV-Enabled Amplify-and-Forward Relaying System Based on Communication Performance
In this paper, we discuss an unmanned aerial vehicle enabled Amplify-and-Forward Relaying System, where a fixed-wing UAV flies is used as mobile relay, and circular trajectories are set. The system employs a fixed-wing UAV to ferry data from source node to destination node with limited energy consumption. We also choose the amplify-and-forward (AF) as the method of cooperative communication. By adjusting the orbital radius to minimize the propulsion energy consumption of UAV while contenting the communication throughput requirement. To save this, we transform the problem into a discretized equivalent, and discuss its optimal solution depends on whether the problem is convex. By using the algorithm and analyzing the function monotonicity and extremum to get the conclusion. Numerical results show that the precise orbital radius could significantly improve communication performance. And the proposed cache-enabled AF strategy model can provide more communication throughput in the same case, compared to the no cache-enabled AF strategy.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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