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Technoeconomic analysis of a VDSL2/G.fast vectoring network: a case study from Greece

Author

Listed:
  • Aggelos Skoufis

    (Harokopio University of Athens)

  • Georgios Chatzithanasis

    (Harokopio University of Athens)

  • Georgia Dede

    (Harokopio University of Athens)

  • Thomas Kamalakis

    (Harokopio University of Athens)

  • Christos Michalakelis

    (Harokopio University of Athens)

Abstract

Following the increasing need for higher broadband speeds, the European Commission (EC) has set specific goals to all member states regarding the development of new generation networks. Due to the high deployment cost, many countries have adopted only a partial transition to a purely optical fiber network. Fiber-to-the-Cabinet (FttC) architecture combined with very-high-bit-rate digital subscriber line 2 (VDSL2) and vectoring noise cancellation techniques may provide a more viable short-term solution. Technoeconomic analysis is vital at the initial development stages of a telecom network, which usually require large investments in infrastructure. This analysis addresses the viability of the project from a financial perspective. In this paper, we present a technoeconomic framework for the analysis of VDSL2 vectoring technology with its subsequent G.fast upgrade and illustrate its applicability in a particular suburb of the city of Athens, Greece. A number of different scenarios is evaluated predicting profits even from the first quarters. The analysis includes an estimation of the degree of market penetration, analytical cost calculations for the implementation and operation of the network leading to the evaluation of financial indicators regarding the prospects of the investment in vectoring services. The overall framework can be applied in similar evaluations, regarding the deployment of telecommunication access networks.

Suggested Citation

  • Aggelos Skoufis & Georgios Chatzithanasis & Georgia Dede & Thomas Kamalakis & Christos Michalakelis, 2020. "Technoeconomic analysis of a VDSL2/G.fast vectoring network: a case study from Greece," Netnomics, Springer, vol. 21(1), pages 83-101, December.
    • Handle: RePEc:kap:netnom:v:21:y:2020:i:1:d:10.1007_s11066-020-09142-8
    DOI: 10.1007/s11066-020-09142-8
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    References listed on IDEAS

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    1. Michalakelis, C. & Sphicopoulos, T., 2012. "A population dependent diffusion model with a stochastic extension," International Journal of Forecasting, Elsevier, vol. 28(3), pages 587-606.
    2. Michalakelis, Christos & Varoutas, Dimitris & Sphicopoulos, Thomas, 0. "Diffusion models of mobile telephony in Greece," Telecommunications Policy, Elsevier, vol. 32(3-4), pages 234-245, April.
    3. Karl-Heinz Neumann, 2014. "Benefits and regulatory challenges of VDSL Vectoring (and VULA)," EUI-RSCAS Working Papers p0390, European University Institute (EUI), Robert Schuman Centre of Advanced Studies (RSCAS).
    4. Thomas Plückebaum & Stephan Jay & Karl-Heinz Neumann, 2014. "Benefits and regulatory challenges of VDSL Vectoring (and VULA)," RSCAS Working Papers 2014/69, European University Institute.
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    Cited by:

    1. Aggelos Skoufis & Georgios Chatzithanasis & Georgia Dede & Evangelia Filiopoulou & Thomas Kamalakis & Christos Michalakelis, 2023. "Technoeconomic assessment of an FTTH network investment in the Greek telecommunications market," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 82(2), pages 211-227, February.
    2. Thomas Kamalakis & Georgia Dede & Christos Michalakelis & Mara Nikolaidou, 2024. "Game-theoretic analysis of competition between access service providers utilizing a Nash genetic algorithm," Operational Research, Springer, vol. 24(2), pages 1-30, June.

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