PAGE CONTENTS
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
Challenges
No key challenges identified for this project
Plan
The study logic is articulated around 3 phases:
- 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
- A second phase focusing on the service uptake analysis (M3) with the continuation of defining and developing the Numerical and Visualization tool
- The last phase devoted to finalize the Numerical and Visualization tool and produce the sample test cases (M4, M5)
Current Status
OCEAN has ended successfully. Through OCEAN we concluded that satellite has a true role to play for rural/remote areas. In particular, we observe that:
- Terrestrial and satellite services compete where the population density is medium, even if concentrated over a quite limited territory;
- Satellite services are more cost effective where the population density is medium to low and the premises are spread over large territories.
Three tools in the form of standalone Excel workbooks based on the models and calculations for costing broadband networks and broadband service take-up projections were developed in OCEAN. Key parameter sensitivity demos are also available in the developed tool for costing terrestrial networks architectures, e.g., cost sensitivity of the degree of duct sharing to the overall network deployment cost.
Companies
SamKnows
United Kingdom