Outage Probability Analysis for UAV-Aided Mobile Edge Computing Networks

Authors

  • Jun Liu Tsinghua University
  • Yuwei Zhang Tsinghua University
  • Jing Wang Tsinghua University
  • Tao Cui Tsinghua University
  • Lin Zhang Tsinghua University
  • Chao Li Hamdard University
  • Kai Chen Huawei Technologies (Sweden)
  • Sun Li Xi'an Jiaotong University image/svg+xml
  • Sunli Feng King Abdullah University of Science and Technology
  • Dongqing Xie Anhui University of Technology
  • Dahua Fan Henan University of Technology
  • Jianghong Ou Henan University of Technology
  • Yun Li University of Illinois Urbana-Champaign
  • Haige Xiang Peking University
  • Kaimeno Dube Vaal University of Technology
  • Abbarbas Muazu Baze University
  • Nakilavai Rono Rongo University
  • Fusheng Zhu Guangdong New Generation Communication and Network Innovative Institute (GDCNi), Guangzhou, China
  • Liming Chen Electric Power Research Institute of CSG, Guangzhou, China
  • Wen Zhou Nanjing Forestry University
  • Zhusong Liu Anhui University of Technology

DOI:

https://doi.org/10.4108/eetinis.v9i31.960

Keywords:

UAV, mobile edge computing, outage probability, latency

Abstract

This paper studies one typical mobile edge computing (MEC) system, where a single user has some intensively calculating tasks to be computed by M edge nodes (ENs) with much more powerful calculating capability. In particular, unmanned aerial vehicle (UAV) can act as the ENs due to its flexibility and high mobility in the deployment. For this system, we propose several EN selection criteria to improve the system whole performance of computation and communication. Specifically, criterion I selects the best EN based on maximizing the received signal-to-noise ratio (SNR) at the EN, criterion II performs the selection according to the most powerful calculating capability, while criterion III chooses one EN randomly. For each EN selection criterion, we perform the system performance evaluation by analyzing outage probability (OP) through deriving some analytical expressions. From these expressions, we can obtain some meaningful insights regarding how to design the MEC system. We finally perform some simulation results to demonstrate the effectiveness of the proposed MEC network. In particular, criterion I can exploit the full diversity order equal to M.

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Published

08-06-2022

How to Cite

1.
Jun Liu, Zhang Y, Jing Wang, Cui T, Zhang L, Li C, et al. Outage Probability Analysis for UAV-Aided Mobile Edge Computing Networks. EAI Endorsed Trans Ind Net Intel Syst [Internet]. 2022 Jun. 8 [cited 2025 Nov. 20];9(31):e4. Available from: https://publications.eai.eu/index.php/inis/article/view/960

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