Asynchronous Protocol Designs for Energy Efficient Mobile Edge Computing Systems

Subin Eom, Hoon Lee, Junhee Park, Inkyu Lee

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

This paper investigates an asynchronous offloading protocol for mobile edge computing (MEC) systems where the computational tasks of mobile users are partially offloaded to a MEC server at a base station (BS). In the proposed asynchronous approach, upload, computation, and download of the tasks are performed in an asymmetric and non-orthogonal manner. A joint optimization problem of the transmit power, the offloading size, and the time-frequency resources is addressed to minimize the energy consumption of the overall system. By applying convex optimization techniques, the optimal solution for the asynchronous MEC offloading problem can be obtained. Numerical results demonstrate the effectiveness of the proposed asynchronous protocol over the conventional synchronous approach.

Original languageEnglish
Article number9292432
Pages (from-to)1013-1018
Number of pages6
JournalIEEE Transactions on Vehicular Technology
Volume70
Issue number1
DOIs
Publication statusPublished - 2021 Jan

Bibliographical note

Funding Information:
Manuscript received July 22, 2020; revised October 7, 2020 and December 1, 2020; accepted December 8, 2020. Date of publication December 11, 2020; date of current version February 12, 2021. This work was supported in part by the National Research Foundation (NRF) through the Ministry of Science, ICT, and Future Planning (MSIP), Korea Government under Grant 2017R1A2B3012316 and in part by the NRF through the Ministry of Science, ICT (MSIT), Korea Government under Grant 2019R1F1A1060648. The review of this article was coordinated by Dr. K. Bian. (Corresponding author: Inkyu Lee.) Subin Eom, Junhee Park, and Inkyu Lee are with the School of Electrical Engineering, Korea University, Seoul 02841, Korea (e-mail: esb777@korea.ac.kr; pjh0585@korea.ac.kr; inkyu@korea.ac.kr).

Funding Information:
This work was supported in part by the National Research Foundation (NRF) through theMinistry of Science, ICT, and Future Planning (MSIP), Korea Government under Grant 2017R1A2B3012316 and in part by the NRF through the Ministry of Science, ICT (MSIT), Korea Government under Grant 2019R1F1A1060648.

Publisher Copyright:
© 1967-2012 IEEE.

Keywords

  • Mobile edge computing
  • convex optimization
  • energy efficient
  • resource allocation
  • task offloading

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Applied Mathematics

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