Cargando…
Resource Allocation and Computation Offloading for Wireless Powered Mobile Edge Computing
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),...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9412292/ https://www.ncbi.nlm.nih.gov/pubmed/36015762 http://dx.doi.org/10.3390/s22166002 |
_version_ | 1784775458111356928 |
---|---|
author | Chen, Jun Chang, Zheng Guo, Wenlong Guo, Xijuan |
author_facet | Chen, Jun Chang, Zheng Guo, Wenlong Guo, Xijuan |
author_sort | Chen, Jun |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9412292 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94122922022-08-27 Resource Allocation and Computation Offloading for Wireless Powered Mobile Edge Computing Chen, Jun Chang, Zheng Guo, Wenlong Guo, Xijuan Sensors (Basel) Article 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. MDPI 2022-08-11 /pmc/articles/PMC9412292/ /pubmed/36015762 http://dx.doi.org/10.3390/s22166002 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chen, Jun Chang, Zheng Guo, Wenlong Guo, Xijuan Resource Allocation and Computation Offloading for Wireless Powered Mobile Edge Computing |
title | Resource Allocation and Computation Offloading for Wireless Powered Mobile Edge Computing |
title_full | Resource Allocation and Computation Offloading for Wireless Powered Mobile Edge Computing |
title_fullStr | Resource Allocation and Computation Offloading for Wireless Powered Mobile Edge Computing |
title_full_unstemmed | Resource Allocation and Computation Offloading for Wireless Powered Mobile Edge Computing |
title_short | Resource Allocation and Computation Offloading for Wireless Powered Mobile Edge Computing |
title_sort | resource allocation and computation offloading for wireless powered mobile edge computing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9412292/ https://www.ncbi.nlm.nih.gov/pubmed/36015762 http://dx.doi.org/10.3390/s22166002 |
work_keys_str_mv | AT chenjun resourceallocationandcomputationoffloadingforwirelesspoweredmobileedgecomputing AT changzheng resourceallocationandcomputationoffloadingforwirelesspoweredmobileedgecomputing AT guowenlong resourceallocationandcomputationoffloadingforwirelesspoweredmobileedgecomputing AT guoxijuan resourceallocationandcomputationoffloadingforwirelesspoweredmobileedgecomputing |