Research On Performance Optimization Of MEC System Based On Security Features

Driven by the visions of Internet of Things and 5G communications,it have seen a paradigm shift in mobile computing from the centralized Mobile Cloud Computing towards Mobile Edge Computing(MEC)in recent years.The main feature of MEC is to push mobile computing,network control and storage to the network edges(e.g.,base stations and access points)so as to enable computation-intensive and latency-critical applications at the resource-limited mobile devices.MEC technology can greatly reduce the energy consumption and delay of computing task processing of mobile devices,and it has become one of the key technologies to realize 5G communication.However,due to the broadcast nature of wireless channel,the key information of computation task offloaded in MEC system is likely to be stolen by illegal eavesdroppers.Therefore,the security performance of MEC system will be one of the key challenges for its large-scale application.In this paper,by establishing different application scenarios and system models,the physical layer security technology is used to ensure the security of the offloading process of computing tasks in MEC system,and the performance optimization of MEC system based on security features is studied.First of all,for the problem of minimizing the delay of MEC system under the scenario of secure offloading,two computation task offloading modes are formed,and the delay optimization task partitioning strategy and the best offloading mode selection strategy are proposed to minimize the system delay.Secondly,in order to solve the problem of insufficient energy of mobile devices in the MEC system,the wireless power transmission technology is applied to the MEC system.On this basis,the performance optimization problem of the task secure offloading MEC system is considered.The system delay was selected as the optimization target,and the optimization problem was solved by using the Lagrangian method.Finally,the performance of the multi-user MEC system considering the secure offloading studied.Computing energy efficiency is selected as the optimization target of the system.The non-convex optimization problem is approximated as a convex optimization problem by using the principle of fractional programming,and an iterative algorithm based on progressive convex approximation method is proposed,which effectively improves the secure computing energy efficiency of the system.