Communication And Computing Resource Allocation Algorithm Research For 5G Networks

5G network is the inevitable trend of the mobile communication development,and mobile cloud computing is a promising technology for 5G network.The main way to achieve mobile cloud computing is to migrate the computing-intensive services generated by the mobile terminal to the cloud with rich resources through the task offloading mechanism.Through offloading the task,mobile terminals can use cloud resources to provide services for themselves.Although task offloading has many advantages,there are still many problems with the specific operation.In this paper,the main work about the problem of offloading tasks in mobile cloud computing is as follows:1.This paper reviews the concepts and basic characteristics of mobile cloud computing,and classifies the literature according to the main research direction of the current research literature.The paper introduces the current research status in architecture of mobile cloud computing system,task offloading,terminal energy efficiency and system reliability respectively.Through the summary and analysis of the current research situation,the paper puts forward the existing problems.2.In Mobile Cloud Computing(MCC),mobile terminal's quality of experience(QoE)is severely degraded due to limited mobile terminal resources and insufficient local base station resources.At the same time,if offloading the task to the remote cloud which far away from the mobile devices,that will result in a greater delay.Aiming at the above two problems,a joint optimization of the power and load allocation algorithm for Small Cell Cloud(SCC)is proposed.The algorithm first establishes the Small Cell Cloud(SCC)based on the inter-cell channel quality and the remaining available computing resources,and allocates the load(offloading task)according to the channel quality and the remaining available computing resources to the small cells in the SCC.Finally,we use a heuristic algorithm to get the sub-optimal solution of transmitting power.The simulation results show that the scheme can improve the utilization rate of wireless and computing resources in the small cellular cloud computing scene,and improve the user QoE.3.For the unbalanced system load and low resource utilization caused by the unreasonable cloud offlloading in the mobile cloud computing scene with edge cloud deployment,the paper proposed a task offloading decision scheme based on edge cloud pricing mechanism.The scheme first proposes to abstract the resources of the mobile terminal itself as a virtual local resource which competes with the edge cloud,and then divides the user request into multiple tasks,and adjusts proportion of the task offloading to edge cloud through the dynamic change of the edge cloud price.At the same time,the proposed scheme maximizes the overall utility of the system while ensuring the quality of service(QoS).The simulation results show that the scheme can effectively balance the load of local resources and edge cloud resources,make full use of the resources of each part of the system and maximize the overall utility of the system.