Successful Edge Computing Probability Analysis in Heterogeneous Networks
Chanwon Park, Jemin Justin Lee · 2018
The mobile edge computing (MEC) has been introduced for providing computing capabilities at the edge of networks to improve the latency performance of wireless networks. In this paper, we propose the novel framework for MEC-enabled heterogeneous networks (HetNets), composed of the multi-tier networks with access points (APs) having MEC servers. In this framework, the mobile users offload the different size of computation tasks to the MEC server having different computing capacities and transmission power, and receive the computation resulting data from the server. We derive the successful edge computing probability considering the successful computation and communication by using the queueing theory and stochastic geometry. We then provide how the bias factors in MEC server association and the network traffic affect the successful edge computing probability. This study provides the design insights for the optimal configuration of MEC-enabled networks.