Optimal Resource Allocation for Multimedia Applications Offloading in Mobile Edge Computing

Thanks to the development of the technologies in wireless communications and the Internet of Things (IoT), the adoption of mobile devices is growing more rapidly. Accordingly, the number of multimedia applications like face recognition and augmented reality is growing at an unprecedented rate. Processing these multimedia applications needs a lot of compu- tation resources and have to be processed as quickly as possible. However, as these mobile devices have limited computation resources, the undesirable response delay will occur. Offloading the multimedia applications to the edge cloud close to the access point (AP)or the cellular base station(BS), mobile edge computing (MEC) is considered as a prospective approach to improve the quality of service (QoS) and enhance the computing capacity of mobile devices. Multimedia applications offloading in an MEC system is studied in this paper.The objective that the problem studied is to minimize the execution delay of all mobile devices by allocating both the communication resource and the computing resource in the edge server. An optimization problem is formulated and an efficient task offloading scheme is proposed to get the solution. Simulation results are conducted to verify the proposed application offloading method, which show that there is a significant execution delay reduction.