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Computation efficiency optimization in UAV-enabled mobile edge computing system with multi-carrier non-orthogonal multiple access

Authors
  • Xu, Fangcheng1
  • Yu, Xiangbin1, 2
  • Cai, Jiali1
  • Wang, Guangying1
  • 1 College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, 29 Jiangjun Ave., Nanjing, 210016, China , Nanjing (China)
  • 2 Key Laboratory of Wireless Sensor Network and Communication, Shanghai Institute of Microsystem and Information Technology of Chinese Academy of Sciences, 865 Changning Road, Shanghai, 200050, China , Shanghai (China)
Type
Published Article
Journal
EURASIP Journal on Wireless Communications and Networking
Publisher
Springer International Publishing
Publication Date
Sep 14, 2020
Volume
2020
Issue
1
Identifiers
DOI: 10.1186/s13638-020-01778-2
Source
Springer Nature
Keywords
License
Green

Abstract

In this paper, we study the issue of fair resource optimization for an unmanned aerial vehicle (UAV)-enabled mobile edge computing (MEC) system with multi-carrier non-orthogonal multiple access (MC-NOMA). A computation efficiency (CE) optimization problem based on the max-min fairness principle under the partial offloading mode is formulated by optimizing the subchannel assignment, the local CPU frequency, and the transmission power jointly. The formulated problem belongs to the non-convex mixed integer nonlinear programming (MINLP), that is NP-hard to find the global optimal solution. Therefore, we design a polynomial-time algorithm based on the big-M reformulation, the penalized sequential convex programming, and the general Dinkelbach’s method, which can choose an arbitrary point as the initial point and eventually converge to a feasible suboptimal solution. The proposed algorithm framework can be also applied to computation offloading only mode. Additionally, we derive the closed-form optimal solution under the local computing only mode. Simulation results validate the convergence performance of the proposed algorithm. Moreover, the proposed partial offloading mode with the CE maximization scheme outperforms that with the computation bits (CB) maximization scheme with respect to CE, and it can achieve higher CE than the benchmark computing modes. Furthermore, the proposed MC-NOMA scheme can attain better CE performance than the conventional OFDMA scheme.

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