Modeling Mobile Edge Computing Deployments for Low Latency Multimedia Services

Abstract

Multi-access Edge Computing (MEC) technologies bring important improvements in terms of network bandwidth, latency and use of context information, critical for services like multimedia streaming, augmented and virtual reality. In future deployments, operators will need to decide how many MEC Points of Presence (PoPs) are needed and where to deploy them, also considering the number of base stations needed to support the expected traffic. This article presents an application of in homogeneous Poisson point processes with hard-core repulsion to model feasible MEC infrastructure deployments. With the presented methodology a mobile network operator knows where to locate the MEC PoPs and associated base stations to support a given set of services. We evaluate our model with simulations in realistic scenarios, namely Madrid city center, an industrial area, and a rural area.