HIQCO: A Hierarchical Optimization Method for Computation Offloading and Resource Optimization in Multi-Cell Mobile-Edge Computing Systems

IEEE Access

Zhiyong Li¹  Chen Du¹  Shaomiao Chen² 

[1] College of Computer Science and Electronic Engineering, Hunan University, Changsha, China;School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, China;

关键词: Mobile-edge computing;    multi-cell;    computation offloading;    resource allocation;    immune algorithm;   

DOI  :  10.1109/ACCESS.2020.2977988

来源: DOAJ

【 摘 要 】

Mobile-Edge Computing (MEC) addresses the shortcomings of mobile devices in terms of computing performance and energy efficiency by offloading computation tasks to the edge of the network. In this paper, a multi-cell MEC system is considered, where each small cell connects to a common MEC server, and the problem of minimizing system overhead in the MEC system is solved by jointly optimizing the computation offloading decisions, communication and computational resources. This problem is a mixed integer nonlinear programming problem (MINLP). Owning to the combined nature and complexity of this problem, we adopt a method to transform the original problem into two sub-problems: (i) joint optimization computation offloading decision and channel assignment problem (JO-CODCA) and (ii) joint optimization transmission power and computational resource allocation problem (JO-TPCRA). For the transformed sub-problems, we propose a hierarchical optimization method (HIQCO) that combines immune algorithm (IA), quasi-convex optimization and convex optimization techniques. Experimental results show that the proposed HIQCO give better performance comparing with the other compared algorithms in terms of system overhead.

【 授权许可】

Unknown