Energy-efficient computing for wireless powered mobile edge computing systems

Hunwoo Lim, Taewon Hwang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper studies an energy-efficient (EE) design for wireless powered mobile edge computing (MEC) system. We introduce a new EE performance metric called computation energy efficiency (CEE), which is defined as the total computation bits (achieved by both local computing and offloading) per energy consumption. Specifically, we study a CEE maximization problem for the wireless powered MEC system, which is non-convex and thus cannot be solved by standard convex optimization techniques. To optimally solve the problem, we divide it into its inner problem and outer problem. Although the inner problem is non-convex, we derive its optimal solution in a closed-form. Then, based on the solution of the inner problem, we optimally solve the outer problem by using the Dinkelbach method. Simulation results show the effectiveness of our proposed scheme in terms of CEE performance and convergence speed.

Original languageEnglish
Title of host publication2019 IEEE 90th Vehicular Technology Conference, VTC 2019 Fall - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728112206
DOIs
Publication statusPublished - 2019 Sep
Event90th IEEE Vehicular Technology Conference, VTC 2019 Fall - Honolulu, United States
Duration: 2019 Sep 222019 Sep 25

Publication series

NameIEEE Vehicular Technology Conference
Volume2019-September
ISSN (Print)1550-2252

Conference

Conference90th IEEE Vehicular Technology Conference, VTC 2019 Fall
CountryUnited States
CityHonolulu
Period19/9/2219/9/25

Fingerprint

Energy Efficient
Energy efficiency
Computing
Energy Efficiency
Convex optimization
Energy utilization
Convergence Speed
Performance Metrics
Convex Optimization
Optimization Techniques
Energy Consumption
Divides
Closed-form
Optimal Solution
Simulation

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

Cite this

Lim, H., & Hwang, T. (2019). Energy-efficient computing for wireless powered mobile edge computing systems. In 2019 IEEE 90th Vehicular Technology Conference, VTC 2019 Fall - Proceedings [8891235] (IEEE Vehicular Technology Conference; Vol. 2019-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCFall.2019.8891235
Lim, Hunwoo ; Hwang, Taewon. / Energy-efficient computing for wireless powered mobile edge computing systems. 2019 IEEE 90th Vehicular Technology Conference, VTC 2019 Fall - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. (IEEE Vehicular Technology Conference).
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Lim, H & Hwang, T 2019, Energy-efficient computing for wireless powered mobile edge computing systems. in 2019 IEEE 90th Vehicular Technology Conference, VTC 2019 Fall - Proceedings., 8891235, IEEE Vehicular Technology Conference, vol. 2019-September, Institute of Electrical and Electronics Engineers Inc., 90th IEEE Vehicular Technology Conference, VTC 2019 Fall, Honolulu, United States, 19/9/22. https://doi.org/10.1109/VTCFall.2019.8891235

Energy-efficient computing for wireless powered mobile edge computing systems. / Lim, Hunwoo; Hwang, Taewon.

2019 IEEE 90th Vehicular Technology Conference, VTC 2019 Fall - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 8891235 (IEEE Vehicular Technology Conference; Vol. 2019-September).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Lim H, Hwang T. Energy-efficient computing for wireless powered mobile edge computing systems. In 2019 IEEE 90th Vehicular Technology Conference, VTC 2019 Fall - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. 8891235. (IEEE Vehicular Technology Conference). https://doi.org/10.1109/VTCFall.2019.8891235