Research On Task Processing Delay Optimization Of Wireless Users Based On Mobile Edge Computing

With the rapid development of mobile communication technology,users are demanding higher and higher quality of service,latency and other performance from various networks and applications.Relying solely on the local central processing units of mobile devices are unable to meet the ultra-low latency requirements of some user business,and applications related to local processing exacerbate the energy consumption of the battery,which seriously affects the efficiency and quality of users’ request processing.To address the above challenges,Mobile Edge Computing(MEC)technology has emerged.In view of the fact that MEC can reduce task processing latency of users,this paper investigates the optimization method of task processing latency of wireless users based on MEC.The main work and innovations are as follows:Firstly,a communication system consisting of single user and single MEC server based on multiple relay selection is studied.The system consists of a base station configured with MEC server,a user and multiple relays.Both the MEC server and the user perform task processing.Aiming at the optimization problem of user task processing delay,a joint assignment scheme of task and power for multi-relay assisted MEC system is proposed.Based on the channel situation,the user selects the best relay for task forwarding,and the joint optimization of task allocation and transmit power allocation is carried out with the objective of minimizing the task processing delay of the user.The simulation results show that the proposed scheme reduces the user’s task processing delay compared to the optimal power allocation scheme of equal task allocation and the scheme of equal task and equal power allocation.Then,a communication system composed of multiple users and dual MEC servers based on heterogeneous network is studied,which includes a macro base station,a small base station,MEC servers at the side of base stations and multiple users,where users are considered not to perform local task processing.To optimize the optimization problem of the average task processing delay for all users,a joint assignment scheme of power,bandwidth and task for MEC system of heterogeneous network is proposed.Aiming to minimize the average task processing delay of all users,and an alternating optimization algorithm is adopted to solve the problem.The simulation results show that compared with the optimal task allocation scheme of equal power and equal bandwidth allocation and the scheme of equal power,equal bandwidth and equal task allocation,the proposed scheme reduces the average task processing latency of all users.Finally,a communication system consisting of a multi-relay assisted single user and MEC servers of heterogeneous network is studied.The system includes a macro base station,a small base station,MEC servers at the side of base stations,a user and multiple relays.In this system,the user is considered not to perform local task processing.For the user’s task processing delay optimization problem,a task allocation scheme for a multi-relay assisted MEC system of heterogeneous network is proposed,which is solved using an alternating optimization algorithm with the objective of minimizing the task processing delay of the user.The simulation results show that compared with the optimal task allocation scheme of multi-relay assisted single MEC system and the equal task allocation of multi-relay assisted MEC system of heterogeneous network,the proposed scheme reduces the task processing delay of the user.