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Energy-efficient mobile-edge computation offloading over multiple fading blocks

  • Rongfei Fan
  • , Fudong Li
  • , Song Jin
  • , Gongpu Wang
  • , Hai Jiang
  • , Shaohua Wu
  • Beijing Institute of Technology
  • University of Alberta
  • Beijing Jiaotong University
  • Harbin Institute of Technology Shenzhen

Research output: Contribution to journalConference articlepeer-review

Abstract

By allowing a mobile device to offload computation- intensive tasks to a base station, mobile edge computing (MEC) is a promising solution for saving the mobile device's energy. In real applications, the offloading may span multiple fading blocks. In this paper, we investigate energy-efficient offloading over multiple fading blocks with random channel gains. An optimization problem is formulated, to find out how much data should be offloaded such that the mobile device's energy consumption is minimal. Although the formulated optimization problem is non-convex, we prove that the objective function of the problem is piecewise convex, and accordingly develop an optimal solution for the problem. Numerical results verify the correctness of our findings and the effectiveness of our proposed method.

Original languageEnglish
Article number9014035
JournalProceedings - IEEE Global Communications Conference, GLOBECOM
DOIs
StatePublished - 2019
Externally publishedYes
Event2019 IEEE Global Communications Conference, GLOBECOM 2019 - Waikoloa, United States
Duration: 9 Dec 201913 Dec 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Fading
  • Mobile computation offloading
  • Mobile edge computing

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