RT Journal Article
T1 Modeling Mobile Edge Computing Deployments for Low Latency Multimedia Services
A1 Martín Pérez, Jorge
A1 Cominardi, Luca
A1 Bernardos Cano, Carlos Jesús
A1 Oliva Delgado, Antonio de la
A1 Azcorra Saloña, Arturo
AB Multi-access edge computing (MEC) technologies bring important improvements in terms of network bandwidth, latency, and use of context information and 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 paper presents an application of inhomogeneous 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.
PB IEEE
SN 0018-9316
YR 2019
FD 2019-02-02
LK https://hdl.handle.net/10016/28273
UL https://hdl.handle.net/10016/28273
LA eng
NO This work was supported in part by EUH2020 5G-CORAL Project under Grant 761586, and in part by EU H20205G-TRANSFORMER Project under Grant 761536.
DS e-Archivo
RD 5 jul. 2024