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

Rongfei Fan, Fudong Li, Song Jin, Gongpu Wang, Hai Jiang, Shaohua Wu

Research output: Contribution to journalConference articlepeer-review

5 Citations (Scopus)

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
Publication statusPublished - 2019
Event2019 IEEE Global Communications Conference, GLOBECOM 2019 - Waikoloa, United States
Duration: 9 Dec 201913 Dec 2019

Keywords

  • Fading
  • Mobile computation offloading
  • Mobile edge computing

Fingerprint

Dive into the research topics of 'Energy-efficient mobile-edge computation offloading over multiple fading blocks'. Together they form a unique fingerprint.

Cite this