Latency Minimization for Wireless Powered Mobile Edge Computing Networks with Nonlinear Rectifiers

Junhee Park, Sourabh Solanki, Seunghwan Baek, Inkyu Lee

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)


This paper investigates a wireless powered mobile edge computing (MEC) network where a hybrid access point (H-AP) serves energy-constrained devices. For such a wireless powered MEC network, the H-AP first transmits wireless information and energy simultaneously in the downlink. Then, by utilizing the harvested energy, the device processes both its local data and the received data from the H-AP. In this system, we minimize the latency by jointly optimizing the power splitting ratio of rectifiers, the data offloading power, the local computing frequency, and the data offloading ratio at the device. By applying a polyblock outer approximation procedure, we propose an algorithm which guarantees the optimal solution. Simulation results verify the efficiency of the proposed algorithm compared to conventional schemes.

Original languageEnglish
Article number9468700
Pages (from-to)8320-8324
Number of pages5
JournalIEEE Transactions on Vehicular Technology
Issue number8
Publication statusPublished - 2021 Aug

Bibliographical note

Funding Information:
Manuscript received May 20, 2020; revised November 10, 2020 and March 31, 2021; accepted June 25, 2021. Date of publication June 30, 2021; date of current version August 13, 2021. This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) under Grant 2017R1A2B3012316. The review of this article was coordinated by Dr. Berk Canberk. (Corresponding author: Inkyu Lee.) The authors are with the School of electrical engineering, Korea University, Seoul 02841, South Korea (e-mail:;;; Digital Object Identifier 10.1109/TVT.2021.3093630

Publisher Copyright:
© 1967-2012 IEEE.


  • Mobile edge computing
  • latency minimization
  • wireless power transfer

ASJC Scopus subject areas

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


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