Resource Allocation in Edge-Computing Based Wireless Networks Based on Differential Game and Feedback Control

作     者：Ruijie Lin Haitao Xu Meng Li Zhen Zhang 

作者机构：China Telecommunication Technology Labs-TerminalsChina Academy of Information and Communications TechnologyBeijing10083China School of Computer and Communication EngineeringUniversity of Science and Technology BeijingBeijing100083China Department of Civil EngineeringTsinghua UniversityBeijing100084China Audio AnalyticCambridgeCB58ABUK. 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2020年第64卷第8期

页      面：961-972页

核心收录：

学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

基　　金：This paper is supported by Natural Science Foundation of China,No.61971032 the Fundamental Research Funds for the Central Universities,No.FRF-TP-18-008A3 

主　　题：Resource allocation edge computing differential game feedback control Nash equilibrium 

摘      要：In this paper,we have proposed a differential game model to optimally solve the resource allocation problems in the edge-computing based wireless *** the proposed model,a wireless network with one cloud-computing center(CC)and lots of edge services providers(ESPs)is *** order to provide users with higher services quality,the ESPs in the proposed wireless network should lease the computing resources from the CC and the CC can allocate its idle cloud computing resource to the *** will try to optimally allocate the edge computing resources between the ESPs and CC using the differential game and feedback *** on the proposed model,the ESPs can choose the amount of computing resources from the CC using feedback control,which is affected by the unit price of computing resources controlled by the *** the simulation part,the optimal allocated resources for users’services are obtained based on the Nash equilibrium of the proposed differential *** effectiveness and correctness of the proposed scheme is also verified through the numerical simulations and results.