Research On Joint Optimization Of Computation Offloading And Resource Allocation In Mobile Edge Computing

In mobile edge computing,due to the limitation of mobile equipment in its computing resource and mobile edge cloud resource,it results in the failure of application program execution in the mobile equipment to satisfy the requirement of delay.In this paper,we focus on computing offloading and resource allocation joint optimization in the mobile edge computing,meanwhile,cloud assistance and game method were utilized to decide the computing offloading and resource allocation,so as to effectively reduce application program execution delay and energy cost of mobile edge.The main research points of this paper and the research results obtained are as follows:(1)Aiming at the resource limitation of mobile edge computing system,a cloud-assisted computing offloading and resource allocation computation algorithm is proposed.Set up the comprehensive decision maker in mobile edge and use center cloud expansion computing resource,carry out wireless network resource allocation according to the local computing offloading strategy of current mobile devices,and decide the computing offloading location.We prove that the problem of cloud-assisted computing offloading and resource allocation is convex optimization problem,a cloud-assisted computing offloading and resource allocation computation algorithm is proposed to minimize the mobile edge response delay and energy costs(2)Aiming at the delay sensitivity of applications,the optimal computing offloading and resource allocation algorithm is proposed.Set up the offloading decision maker and resource allocation maker in mobile edge to decide the computation offloading strategies of mobile devices and resource allocation strategy in system.The offloading decision maker and the resource allocation maker are modeled as a single leader-single follower Stackberg game model,we prove the existence of Stackelberg equilibria,the optimal computing offloading and resource allocation algorithm is proposed.The joint optimization algorithm solves the optimal computation offloading strategies of the mobile devices and the optimal resource allocation strategy of the system to minimize the mobile edge response delay and the system delay.In the research of this paper,numerical simulation results are also performed on the above two issues.The comparison result proves the algorithm proposed in this paper outperform the benchmark approaches.