Resource Allocation and Computation Offloading for Wireless Powered Mobile Edge Computing
Chen, J., Chang, Z., Guo, W., & Guo, X. (2022). Resource Allocation and Computation Offloading for Wireless Powered Mobile Edge Computing. Sensors, 22(16), Article 6002. https://doi.org/10.3390/s22166002
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2022Discipline
Secure Communications Engineering and Signal ProcessingTekniikkaTietotekniikkaSecure Communications Engineering and Signal ProcessingEngineeringMathematical Information TechnologyCopyright
© 2022 by the authors. Licensee MDPI, Basel, Switzerland.
In this paper, we investigate a resource allocation and computation offloading problem in a heterogeneous mobile edge computing (MEC) system. In the considered system, a wireless power transfer (WPT) base station (BS) with an MEC sever is able to deliver wireless energy to the mobile devices (MDs), and the MDs can utilize the harvested energy for local computing or task offloading to the WPT BS or a Macro BS (MBS) with a stronger computing server. In particular, we consider that the WPT BS can utilize full- or half-duplex wireless energy transmission mode to empower the MDs. The aim of this work focuses on optimizing the offloading decision, full/half-duplex energy harvesting mode and energy harvesting (EH) time allocation with the objective of minimizing the energy consumption of the MDs. As the formulate problem has a non-convex mixed integer programming structure, we use the quadratically constrained quadratic program (QCQP) and semi-definite relaxation (SDR) methods to solve it. The simulation results demonstrate the effectiveness of the proposed scheme.
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This research was funded by Innovation Capability Improvement Plan Project of Hebei Province of funder grant number 22567626H.License
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