Communication Quality Optimization for UAV Trajectory in Irregular Topography

被引:0
作者
Abou Chaaya, Jad [1 ]
Coatanhay, Arnaud [1 ]
Mansour, Ali [1 ]
Marsault, Thierry [2 ]
机构
[1] ENSTA Bretagne, UMR 6285 CNRS, Lab STICC, F-29200 Brest, France
[2] Direct Gen Armement Maitrise Informat, Dept TEC SPC, F-35170 Bruz, France
来源
2023 IEEE STATISTICAL SIGNAL PROCESSING WORKSHOP, SSP | 2023年
关键词
Unmanned Aerial Vehicle (UAV); Trajectory Optimization; Mixed Integer Linear Programming (MILP); Multiple Knife Edge (MKE) Diffraction; and Path Loss (PL) Threshold Optimization;
D O I
10.1109/SSP53291.2023.10207935
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:616 / 620
页数:5
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