A Complete LTE Mathematical Framework for the Network Slice Planning of the EPC
Metadatos
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Prados Garzón, Jonathan; Laghrissi, Abdelquoddouss; Bagaa, Miloud; Taleb, Tarik; López Soler, Juan ManuelEditorial
Institute of Electrical and Electronics Engineers (IEEE)
Materia
LTE EPC Network Slicing NFV Softwarized Networks Mobile Networks Traffic characterization Resources dimensioning Network embedding
Fecha
2019-01Referencia bibliográfica
J. Prados-Garzon, A. Laghrissi, M. Bagaa, T. Taleb and J. M. Lopez-Soler, "A Complete LTE Mathematical Framework for the Network Slice Planning of the EPC," in IEEE Transactions on Mobile Computing, vol. 19, no. 1, pp. 1-14, 1 Jan. 2020, doi: 10.1109/TMC.2018.2890235.
Patrocinador
This work is partially supported by the European Unions Horizon 2020 research and innovation programme under the 5G!Pagoda project with grant agreement No. 723172, the Spanish Ministry of Education, Culture and Sport (FPU Grant 13/04833), the Spanish Ministry of Economy and Competitiveness, the European Regional Development Fund (TEC2016-76795-C6-4-R), the Academy of Finland’s Flagship programme 6Genesis under grant agreement no. 318927, and the Academy of Finland Project CSN under grant agreement no. 311654.Resumen
5G is the next telecommunications standards that
will enable the sharing of physical infrastructures to provision
ultra short-latency applications, mobile broadband services,
Internet of Things, etc. Network slicing is the virtualization
technique that is expected to achieve that, as it can allow logical
networks to run on top of a common physical infrastructure
and ensure service level agreement requirements for different
services and applications. In this vein, our paper proposes a novel
and complete solution for planning network slices of the LTE
EPC, tailored for the enhanced Mobile BroadBand use case. The
solution defines a framework which consists of: i) an abstraction
of the LTE workload generation process, ii) a compound traffic
model, iii) performance models of the whole LTE network, and
iv) an algorithm to jointly perform the resource dimensioning
and network embedding. Our results show that the aggregated
signaling generation is a Poisson process and the data traffic
exhibits self-similarity and long-range-dependence features. The
proposed performance models for the LTE network rely on these
results. We formulate the joint optimization problem of resources
dimensioning and embedding of a virtualized EPC and propose
a heuristic to solve it. By using simulation tools, we validate the
proper operation of our solution.
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