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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Hindawi-Wiley
2021
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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) |
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Technology T Telecommunication TK5101-6720 |
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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 |
_version_ |
1718418355125223424 |