ProjectOCEAN: Objective Cost-Effectiveness Analysis of broadband Network deployments

Competence Areas at RISE ICT
OCEAN: Objective Cost-Effectiveness Analysis of broadband Network deployments

 

Objectives

Analyse and characterise broadband solutions relying on solutions involving satellite systems vs. terrestrial-only architecture. For each solution:

  • Assess its topology
  • Estimate its cost, and
  • Assess its benefits in terms of:
    • The quality of broadband delivered
    • The uptake to be expected
  • Do this for three geo-economic regions
  • Look at access network, as well as interconnection network
  • Do this for short-term (2015-2019) and long-term solutions (2020-2025)
  • Develop a numerical and visualisation tool which allows to elaborate sample test cases for communication purposes
  • Carry out a pilot measurement campaign to assess the broadband quality delivered by the satellite solution

Benefits

Impartial study on benchmarking satellite solutions with the corresponding reference terrestrial solutions.
Service uptake analysis for satellite and terrestrial access solutions. Integrated numerical analysis and visualisation tool allows to elaborate sample test cases for easy communication & dissemination activities. Firsthand end-user quality of service (QoS) measurement on broadband delivered by the satellite solution.

Features

OCEAN team is a collection of world-class competence in all the areas needed to successfully carry out the study: excellent technical expertise on broadband solutions, both terrestrial and satellite-based; renowned competence on cost-benefit analysis of broadband networks and undoubted competence in the assessment of broadband performance. Moreover, Acreo’s experience in leading large European research projects with participation from industry and academia is ensuring the study to be performed according to high-standard scientific methods.

On top of that competence, the team is well-proven, with excellent collaboration during the SABER project (Acreo, Airbus and Skylogic). And secondly, the extensive network of contacts within SABER, ONE and other relevant projects and networks of excellence (e.g. CIP-ENGAGE and INTERREG-Micropol) provides the contact points with public administrations and ICT observatories to collect the necessary uptake data and correlate those with institutional support initiatives.

System Architecture

1. Definition and analysis of geo-economics regions • Regions selection • Scenarios definition per Region • Metrics definition (to assess cost per bit)

2. Broadband options • Architecture overview • Definition of a terrestrial architecture for the short and long term • Definition of an architecture including satellite solution for the short and long term • Costing of a terrestrial architecture for the short and long term • Costing of an architecture including satellite solution for the short and long term

3. Service uptake analysis • Collection and analysis of historic data series for service uptake • Projection of historic data to the future • Identification and analysis of actual public support actions • Uptake of different solutions

4. Tool development • Develop a tool to compare the cost per Mb/s and other metrics • Establish a method to compare the pace of adoption • Propose methodology for projecting historic uptake data • Produce characteristic sample test cases • Update the analysis tool with results from WP5 • Visualisation tool • Reports, presentations and dissemination

5. Test cases • Campaign preparation (region selection, text box tuning, test plan) • Measurement campaign • Campaign results analysis

The study logic is articulated around 3 phases:

  1. A first phase to set up the landscape with the objective to refine the characteristics of the chosen geo-economics regions and justify and define the associated scenarios (M1), and to define and cost the architectures chosen for each scenario (M2), in the meantime to initiate defining and developing the Numerical and Visualization tool.
  2. A second phase focusing on the service uptake analysis (M3) with the continuation of defining and developing the Numerical and Visualization tool.
  3. The last phase devoted to finalize the Numerical and Visualization tool and produce the sample test cases (M4, M5).

For more details, please contact Jie Li or Marco Forzati.

External homepage: 
http://artes.esa.int/projects/ocean