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

被引：0

作者：

Li W. ^{[1
]}

Guo Y. ^{[1
]}

Li N. ^{[1
]}

Liu C. ^{[1
]}

Yuan H. ^{[1
]}

机构：

[1] College of Communications Engineering, Army Engineering University, Nanjing

来源：

Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica | 2023年 / 44卷 / 19期

基金：

中国国家自然科学基金;

关键词：

Intelligent Reflector Surface (IRS); Mobile Edge Computing (MEC); resource management; trajectory optimization; Unmanned Aerial Vehicle (UAV);

D O I：

10.7527/S1000-6893.2023.28486

中图分类号：

学科分类号：

摘要：

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. © 2023 AAAS Press of Chinese Society of Aeronautics and Astronautics. All rights reserved.

引用

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