Optimization Strategy of Task Offloading with Wireless and Computing Resource Management in Mobile Edge Computing

Mobile edge computing (MEC) provides user equipment (UE) with computing capability through wireless networks to improve the quality of experience (QoE). The scenario with multiple base stations and multiple mobile users is modeled and analyzed. The optimization strategy of task offloading with wirel...

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Autores principales: Xintao Wu, Jie Gan, Shiyong Chen, Xu Zhao, Yucheng Wu
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Lenguaje:EN
Publicado: Hindawi-Wiley 2021
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Acceso en línea:https://doaj.org/article/921a215bf51b40598d5bb5bd9ac31147
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spelling oai:doaj.org-article:921a215bf51b40598d5bb5bd9ac311472021-11-22T01:10:53ZOptimization Strategy of Task Offloading with Wireless and Computing Resource Management in Mobile Edge Computing1530-867710.1155/2021/8288836https://doaj.org/article/921a215bf51b40598d5bb5bd9ac311472021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/8288836https://doaj.org/toc/1530-8677Mobile edge computing (MEC) provides user equipment (UE) with computing capability through wireless networks to improve the quality of experience (QoE). The scenario with multiple base stations and multiple mobile users is modeled and analyzed. The optimization strategy of task offloading with wireless and computing resource management (TOWCRM) in mobile edge computing is considered. A resource allocation algorithm based on an improved graph coloring method is used to allocate wireless resource blocks (RBs). The optimal solution of computing resource is obtained by using KKT conditions. To improve the system utility, a semi-distributed TOWCRM strategy is proposed to obtain the task offloading decision. Theoretical simulations under different system parameters are executed, and the proposed semi-distributed TOWCRM strategy can be completed with finite iterations. Simulation results have verified the effectiveness of the proposed algorithm.Xintao WuJie GanShiyong ChenXu ZhaoYucheng WuHindawi-WileyarticleTechnologyTTelecommunicationTK5101-6720ENWireless Communications and Mobile Computing, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Technology
T
Telecommunication
TK5101-6720
spellingShingle Technology
T
Telecommunication
TK5101-6720
Xintao Wu
Jie Gan
Shiyong Chen
Xu Zhao
Yucheng Wu
Optimization Strategy of Task Offloading with Wireless and Computing Resource Management in Mobile Edge Computing
description Mobile edge computing (MEC) provides user equipment (UE) with computing capability through wireless networks to improve the quality of experience (QoE). The scenario with multiple base stations and multiple mobile users is modeled and analyzed. The optimization strategy of task offloading with wireless and computing resource management (TOWCRM) in mobile edge computing is considered. A resource allocation algorithm based on an improved graph coloring method is used to allocate wireless resource blocks (RBs). The optimal solution of computing resource is obtained by using KKT conditions. To improve the system utility, a semi-distributed TOWCRM strategy is proposed to obtain the task offloading decision. Theoretical simulations under different system parameters are executed, and the proposed semi-distributed TOWCRM strategy can be completed with finite iterations. Simulation results have verified the effectiveness of the proposed algorithm.
format article
author Xintao Wu
Jie Gan
Shiyong Chen
Xu Zhao
Yucheng Wu
author_facet Xintao Wu
Jie Gan
Shiyong Chen
Xu Zhao
Yucheng Wu
author_sort Xintao Wu
title Optimization Strategy of Task Offloading with Wireless and Computing Resource Management in Mobile Edge Computing
title_short Optimization Strategy of Task Offloading with Wireless and Computing Resource Management in Mobile Edge Computing
title_full Optimization Strategy of Task Offloading with Wireless and Computing Resource Management in Mobile Edge Computing
title_fullStr Optimization Strategy of Task Offloading with Wireless and Computing Resource Management in Mobile Edge Computing
title_full_unstemmed Optimization Strategy of Task Offloading with Wireless and Computing Resource Management in Mobile Edge Computing
title_sort optimization strategy of task offloading with wireless and computing resource management in mobile edge computing
publisher Hindawi-Wiley
publishDate 2021
url https://doaj.org/article/921a215bf51b40598d5bb5bd9ac31147
work_keys_str_mv AT xintaowu optimizationstrategyoftaskoffloadingwithwirelessandcomputingresourcemanagementinmobileedgecomputing
AT jiegan optimizationstrategyoftaskoffloadingwithwirelessandcomputingresourcemanagementinmobileedgecomputing
AT shiyongchen optimizationstrategyoftaskoffloadingwithwirelessandcomputingresourcemanagementinmobileedgecomputing
AT xuzhao optimizationstrategyoftaskoffloadingwithwirelessandcomputingresourcemanagementinmobileedgecomputing
AT yuchengwu optimizationstrategyoftaskoffloadingwithwirelessandcomputingresourcemanagementinmobileedgecomputing
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