智能反射面辅助无人机移动边缘计算任务数据最大化方法

doi:10.7527/S1000-6893.2023.28486

Abstract

Abstract:

Due to the complex communication environment， the link between User Equipment （UE） and Unmanned Aerial Vehicle （UAV） is easily blocked and the communication quality is poor. This paper proposes to use an Intelligent Reflector Surface （IRS） to reconstruct the communication environment and enhance the performance of UAV mobile edge computing network. Considering the constraints of equipment energy consumption and computing power， the user task data is maximized by jointly optimizing intelligent reflector movement control， UAV flight trajectory， transmission power and time slot division. The above highly complex nonconvex problems are divided into three sub-problems. Firstly， the closed-form solution for intelligent reflector surface shift is derived. Then， the relaxation variable， first-order Taylor expression and successive convex approximation technique are introduced to transform the original problem into two approximate convex problems， namely transmission power， and slot division and trajectory optimization. Finally， the iterative solution is obtained based on the block coordinate descent method. The simulation results show that compared with the traditional UAV moving edge calculation， the proposed method can effectively improve the amount of mission data.

Key words: Unmanned Aerial Vehicle (UAV), Intelligent Reflector Surface (IRS), Mobile Edge Computing (MEC), trajectory optimization, resource management

CLC Number:

V249

Wei LI, Yan GUO, Ning LI, Cuntao LIU, Hao YUAN. Intelligent reflector surface assisted UAV mobile edge computing task data maximization method[J]. Acta Aeronautica et Astronautica Sinica, 2023, 44(19): 328486-328486.

Figures/Tables 7

Fig.1

Fig.2

Table 1

Physical meanings and parameters

参数	物理意义	数值模拟
$U t i p$ /（m·s^-1）	叶片角速度	120
$ρ o$ /（kg·m^-3）	空气密度	1.225
$s$ /m²	转子体积	0.05
$A$ /m²	旋翼面积	0.503
$v 0$ /（m·s^-1）	转子向前飞行时的诱导速度	4.03
$d o$	机身阻力比	0.3
$p o$ /W	悬停状态下的叶片功率	98.86
$p i$ /W	悬停状态的诱导功率	88.63

Table 1

Fig.3

Fig.4

Fig.5

Fig.6

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Intelligent reflector surface assisted UAV mobile edge computing task data maximization method

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