TIIS (한국인터넷정보학회)
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| 한글제목(Korean Title) |
Joint Optimization for Residual Energy Maximization in Wireless Powered Mobile-Edge Computing Systems |
| 영문제목(English Title) |
Joint Optimization for Residual Energy Maximization in Wireless Powered Mobile-Edge Computing Systems |
| 저자(Author) |
Peng Liu
Gaochao Xu
Kun Yang
Kezhi Wang
Yang Li
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| 원문수록처(Citation) |
VOL 12 NO. 12 PP. 5614 ~ 5633 (2018. 12) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Mobile Edge Computing (MEC) and Wireless Power Transfer (WPT) are both recognized as promising techniques, one is for solving the resource insufficient of mobile devices and the other is for powering the mobile device. Naturally, by integrating the two techniques, task will be capable of being executed by the harvested energy which makes it possible that less intrinsic energy consumption for task execution. However, this innovative integration is facing several challenges inevitably. In this paper, we aim at prolonging the battery life of mobile device for which we need to maximize the harvested energy and minimize the consumed energy simultaneously, which is formulated as residual energy maximization (REM) problem where the offloading ratio, energy harvesting time, CPU frequency and transmission power of mobile device are all considered as key factors. To this end, we jointly optimize the offloading ratio, energy harvesting time, CPU frequency and transmission power of mobile device to solve the REM problem. Furthermore, we propose an efficient convex optimization and sequential unconstrained minimization technique based combining method to solve the formulated multi-constrained nonlinear optimization problem. The result shows that our joint optimization outperforms the single optimization on REM problem. Besides, the proposed algorithm is more efficiency.
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| 키워드(Keyword) |
mobile edge computing
wireless power transfer
joint optimization
convex optimization
BFGS
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| 파일첨부 |
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