Martín Pérez, JorgeCominardi, LucaBernardos Cano, Carlos JesúsOliva Delgado, Antonio de laAzcorra Saloña, Arturo2019-04-032019-04-032019-02-02Martín Pérez, J., Cominardi, L., Bernardos, C.J., Oliva, A. de la y Azcorra, A. (2019). Modeling Mobile Edge Computing Deployments for Low Latency Multimedia Services. IEEE Transactions on Broadcasting0018-9316https://hdl.handle.net/10016/28273Multi-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.13application/pdfeng© 2019 IEEE5GMecPoint ProcessDeploymentCharacterizationNetwork SlicingStreamingLow LatencyAugmented RealityVirtual Reality.research articleTelecomunicacioneshttps://www.doi.org/10.1109/TBC.2019.2901406open access111IEEE Transactions on BroadcastingAR/0000023249