Journal on Communications ›› 2020, Vol. 41 ›› Issue (10): 15-24.doi: 10.11959/j.issn.1000-436x.2020204

Special Issue: 边缘计算

• Topics: Convergence of Communications and Computing for the IoE • Previous Articles     Next Articles

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

Qihui WU1,Wei WU1,2   

  1. 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 211106,China
    2 College of Telecommunications and Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China
  • Revised:2020-09-06 Online:2020-10-25 Published:2020-11-05
  • Supported by:
    The National Natural Science Foundation of China(61827801);The National Natural Science Foundation of China(61901231);The Open Project of the Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space,Ministry of Industry and Information Technology(KF20202102);The Natural Science Foundation of Jiangsu Province(BK20180757)

Abstract:

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.

Key words: UAV communication, mobile edge computation, relay, energy efficiency, resource allocation

CLC Number: 

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