Algorithm design on energy efficiency maximization for UAV-assisted edge computing

被引：0
|
作者：
Wu Q. [1 ]
Wu W. [1 ,2 ]
机构：
[1] The Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, Ministry of Industry and Information Technology, Nanjing University of Aeronautics and Astronautics, Nanjing
[2] College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing
来源：
Tongxin Xuebao/Journal on Communications | 2020年 / 41卷 / 10期
基金：
中国国家自然科学基金;
关键词：
Energy efficiency; Mobile edge computation; Relay; Resource allocation; UAV communication;
D O I：
10.11959/j.issn.1000-436x.2020204
中图分类号：
学科分类号：
摘要：
For the unmanned aerial vehicle (UAV)-assisted edge computing system, a two-stage alternative algorithm was proposed to solve the formulated complex non-convex problem. Firstly, the formulated non-linear fractional programming problem was reformulated to the equivalent parametric problem by using Dinkelbach method. Secondly, two sub-problems were further considered based on it. By employing the Lagrange duality method, the closed-form solutions for the central processing unit frequencies and the number of data bits were derived. Finally, based on the solutions obtained, the conditions that the source node prefers to offload/share its data and the relay chooses to forward the computation results, as well as the approaches to achieve high energy efficiency were revealed. Numerical results demonstrate that the proposed design can achieve a performance improvement of up to 20 times over the conventional schemes. © 2020, Editorial Board of Journal on Communications. All right reserved.
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页码：15 / 24
页数：9
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