Energy-efficient computing for wireless powered mobile edge computing systems

Hunwoo Lim; Taewon Hwang

doi:10.1109/VTCFall.2019.8891235

Energy-efficient computing for wireless powered mobile edge computing systems

Hunwoo Lim, Taewon Hwang

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

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 language	English
Title of host publication	2019 IEEE 90th Vehicular Technology Conference, VTC 2019 Fall - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728112206
DOIs	https://doi.org/10.1109/VTCFall.2019.8891235
Publication status	Published - 2019 Sept
Event	90th IEEE Vehicular Technology Conference, VTC 2019 Fall - Honolulu, United States Duration: 2019 Sept 22 → 2019 Sept 25

Publication series

Name	IEEE Vehicular Technology Conference
Volume	2019-September
ISSN (Print)	1550-2252

Conference

Conference	90th IEEE Vehicular Technology Conference, VTC 2019 Fall
Country/Territory	United States
City	Honolulu
Period	19/9/22 → 19/9/25

Bibliographical note

Funding Information:
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2019R1A2C1009826).

Publisher Copyright:
© 2019 IEEE.

All Science Journal Classification (ASJC) codes

Computer Science Applications
Electrical and Electronic Engineering
Applied Mathematics

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/VTCFall.2019.8891235

Cite this

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title = "Energy-efficient computing for wireless powered mobile edge computing systems",

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.",

author = "Hunwoo Lim and Taewon Hwang",

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doi = "10.1109/VTCFall.2019.8891235",

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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 proceeding › Conference contribution

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Energy-efficient computing for wireless powered mobile edge computing systems

Abstract

Publication series

Conference

Bibliographical note

All Science Journal Classification (ASJC) codes

UN SDGs

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