TY - JOUR
T1 - Latency Minimization for Wireless Powered Mobile Edge Computing Networks with Nonlinear Rectifiers
AU - Park, Junhee
AU - Solanki, Sourabh
AU - Baek, Seunghwan
AU - Lee, Inkyu
N1 - 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: pjh0585@korea.ac.kr; sourabhsolanki@ieee.org; s_baek@korea.ac.kr; inkyu@korea.ac.kr). Digital Object Identifier 10.1109/TVT.2021.3093630
Publisher Copyright:
© 1967-2012 IEEE.
PY - 2021/8
Y1 - 2021/8
N2 - 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.
AB - 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.
KW - latency minimization
KW - Mobile edge computing
KW - wireless power transfer
UR - http://www.scopus.com/inward/record.url?scp=85110788235&partnerID=8YFLogxK
U2 - 10.1109/TVT.2021.3093630
DO - 10.1109/TVT.2021.3093630
M3 - Article
AN - SCOPUS:85110788235
VL - 70
SP - 8320
EP - 8324
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
SN - 0018-9545
IS - 8
M1 - 9468700
ER -