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Residual Energy Maximization for Wireless Powered Mobile Edge Computing Systems With Mixed-Offloading

Authors
Wu, MengruQi, WeijingPark, JunheeLin, PengGuo, LeiLee, Inkyu
Issue Date
4월-2022
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Task analysis; Wireless communication; Resource management; Optimization; Computational modeling; Central Processing Unit; Servers; Binary offloading; mobile edge computing; partial offloading; resource allocation; wireless power transfer
Citation
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, v.71, no.4, pp.4523 - 4528
Indexed
SCIE
SCOPUS
Journal Title
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
Volume
71
Number
4
Start Page
4523
End Page
4528
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/141869
DOI
10.1109/TVT.2022.3147824
ISSN
0018-9545
Abstract
This paper studies a joint design of resource allocation and task offloading in a wireless powered mobile edge computing network involving different types of computation tasks. To deal with diverse computation tasks, we explore a mixed-offloading paradigm to support the coexistence of partial and binary offloading modes. Specifically, devices harvest energy from an access point (AP) via wireless power transfer (WPT) and utilize the harvested energy to execute their computation tasks using partial or binary offloading. Based on a practical non-linear energy harvesting model, a residual energy maximization problem is formulated by jointly optimizing the transmit power of the AP, the offloading power of devices, the time allocation on WPT and task offloading, and the task partitions and the binary offloading decisions of devices, which turn out to be a non-convex mixed-integer non-linear programming problem. Thus, we develop an efficient dual-layer optimization algorithm by decomposing the optimization problem into an inner and outer layer structure that aims to obtain resource allocation and offloading decisions. Simulation results show that our proposed scheme achieves residual energy gains compared to existing schemes.
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