A Complete LTE Mathematical Framework for the Network Slice Planning of the EPC

Jonathan Prados-Garzon, Abdelquoddouss Laghrissi, Miloud Bagaa, Tarik Taleb, Juan M. Lopez-Soler

Research output: Contribution to journalArticleScientificpeer-review

4 Citations (Scopus)
156 Downloads (Pure)


5G is the next telecommunications standards that will enable to share given physical networks which will run ultra short-latency applications, mobile broadband, 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 end users. 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.
Original languageEnglish
Article number8603789
Pages (from-to)1-14
JournalIEEE Transactions on Mobile Computing
Issue number1
Early online date2019
Publication statusPublished - 1 Jan 2020
MoE publication typeA1 Journal article-refereed


  • LTE
  • EPC
  • network slicing
  • NFV
  • softwarized networks
  • mobile networks
  • traffic characterization
  • resources dimensioning
  • network embedding

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    CSN: Customized Software Networking across Multiple Administrative Domains

    Taleb, T., Maiouak, M., Bagaa, M., Mada, B., El Marai, O., Hellaoui, H., Bekkouche, O., Afolabi, I., Addad, R., Naas, S. & Boudi, A.


    Project: Academy of Finland: Other research funding

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