Techno-Economic Aspects of 5G Transport Network Deployments - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2020

Techno-Economic Aspects of 5G Transport Network Deployments

F. Setaki
  • Fonction : Auteur
  • PersonId : 1096234
K. Filis
  • Fonction : Auteur
  • PersonId : 1096235
A. Di Giglio
  • Fonction : Auteur
  • PersonId : 1096236
A. Percelsi
  • Fonction : Auteur
  • PersonId : 1096237
Anna Tzanakaki
  • Fonction : Auteur
  • PersonId : 1096238
I. Mesogiti
  • Fonction : Auteur
  • PersonId : 1058266
E. Theodoropoulou
  • Fonction : Auteur
  • PersonId : 1096239
George Lymperopoulos
  • Fonction : Auteur
  • PersonId : 992316

Résumé

5G networks will comprise multiple, versatile infrastructures at finest granularity consisting of multiple disaggregated pools of network, compute and storage resources. To support the 5G network architectures and satisfy the access network demanding performance requirements, transport networks consisting of various converging technologies shall provide mechanisms to support deployment flexibility and scalability. The deployment of the complementary or alternative transport network technologies in real network deployments shall take into account various factors such as area specifics, technologies’ deployment feasibility, traffic/usage forecasts considering long-term services roadmaps and certainly, the implicated costs. Thus, transport network planning and dimensioning shall be tightly accompanied by the techno-economic analysis of the various deployment alternatives. This paper provides insights on the techno-economic aspects of 5G transport network technologies and its applicability on the architectural concepts of 5G-XHaul and 5G-PICTURE 5G-PPP projects.
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Dates et versions

hal-03200665 , version 1 (16-04-2021)

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F. Setaki, K. Filis, A. Di Giglio, A. Percelsi, Anna Tzanakaki, et al.. Techno-Economic Aspects of 5G Transport Network Deployments. 23th International IFIP Conference on Optical Network Design and Modeling (ONDM), May 2019, Athens, Greece. pp.118-129, ⟨10.1007/978-3-030-38085-4_11⟩. ⟨hal-03200665⟩
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