Communication Quality Optimization for UAV Trajectory in Irregular Topography

Jad Abou Chaaya, A. Coatanhay, A. Mansour, T. Marsault
{"title":"Communication Quality Optimization for UAV Trajectory in Irregular Topography","authors":"Jad Abou Chaaya, A. Coatanhay, A. Mansour, T. Marsault","doi":"10.1109/SSP53291.2023.10207935","DOIUrl":null,"url":null,"abstract":"Unmanned Aerial Vehicles (UAVs) are becoming increasingly popular for both civil and military missions, and communication link establishment between the UAV and ground/aerial stations is a crucial factor for mission success. However, topography greatly affects the communication link, particularly when the UAV is flying at a low altitude between mountains of varying elevations. This paper proposes a system model based on the diffraction phenomenon with Multiple Knife Edges (MKE) to model the UAV-station channel when the Line of Sight (LoS) is absent. The objective is to optimize the trajectory of low/mid-altitude flying UAVs in complex propagation environments. To maximize communication quality, the paper also proposes an optimization formulation using Mixed Integer Linear Programming (MILP). The proposed approach is validated through simulations that limit LoS propagation using real terrain profiles. The approach finds the optimal UAV trajectory with the \"best feasible\" communication quality within physical limitations.","PeriodicalId":296346,"journal":{"name":"2023 IEEE Statistical Signal Processing Workshop (SSP)","volume":"173 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE Statistical Signal Processing Workshop (SSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSP53291.2023.10207935","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Unmanned Aerial Vehicles (UAVs) are becoming increasingly popular for both civil and military missions, and communication link establishment between the UAV and ground/aerial stations is a crucial factor for mission success. However, topography greatly affects the communication link, particularly when the UAV is flying at a low altitude between mountains of varying elevations. This paper proposes a system model based on the diffraction phenomenon with Multiple Knife Edges (MKE) to model the UAV-station channel when the Line of Sight (LoS) is absent. The objective is to optimize the trajectory of low/mid-altitude flying UAVs in complex propagation environments. To maximize communication quality, the paper also proposes an optimization formulation using Mixed Integer Linear Programming (MILP). The proposed approach is validated through simulations that limit LoS propagation using real terrain profiles. The approach finds the optimal UAV trajectory with the "best feasible" communication quality within physical limitations.
不规则地形下无人机轨迹通信质量优化
无人驾驶飞行器(UAV)在民用和军事任务中越来越受欢迎,无人机与地面/空中站之间的通信链路建立是任务成功的关键因素。然而,地形极大地影响通信链路,特别是当无人机在不同海拔的山脉之间低空飞行时。本文提出了一种基于多刃衍射现象的系统模型,用于模拟无瞄准线情况下的无人机站通道。目标是在复杂的传播环境中优化低空/中高空无人机的飞行轨迹。为了最大限度地提高通信质量,本文还提出了使用混合整数线性规划(MILP)的优化公式。通过使用真实地形剖面限制LoS传播的仿真验证了所提出的方法。该方法在物理限制条件下寻找具有“最佳可行”通信质量的最优无人机轨迹。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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