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

Xintao Wu | Zendy; Jie Gan | Zendy; Shiyong Chen | Zendy; Xu Zhao | Zendy; Yucheng Wu | Zendy

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

Author(s) -

Xintao Wu,

Jie Gan,

Shiyong Chen,

Xu Zhao,

Yucheng Wu

Publication year - 2021

Publication title -

wireless communications and mobile computing

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.42

H-Index - 64

eISSN - 1530-8677

pISSN - 1530-8669

DOI - 10.1155/2021/8288836

Subject(s) - computer science , mobile edge computing , task (project management) , wireless , edge computing , distributed computing , resource management (computing) , mobile computing , enhanced data rates for gsm evolution , computer network , operating system , telecommunications , management , economics

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.

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