Abstract
Mobile-Edge Computing (MEC) is a novel computing paradigm proposed in recent years. MEC addresses the shortcomings of mobile devices (MDs) in terms of computational performance and energy efficiency by offloading computation tasks to the edge of the network. In this study, we consider a multi-user MEC system in which MD users can offload tasks to the MEC cloud via wireless channel. This study aims to minimize the total system overhead of the MEC system by jointly optimizing computation offloading decision making and communication channel allocation. In particular, the mobile user not only needs to determine whether to offload, but also needs to decide the channel to be offloaded. The advantage of genetic algorithm (GA) is used to solve this computation offloading optimization problem. The efficiency of GA is studied by simulation and compared that of with other baseline algorithms to verify its performance.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call