Geometric versus geographic models for the estimation of an FTTH deployment
2013 (English)In: Telecommunications Systems, ISSN 1018-4864, E-ISSN 1572-9451, Vol. 54, no 2, 113-127 p.Article in journal (Refereed) Published
Optical access networks provide a future proof platform for a wide range of services, and today, several operators are deploying fibre to the home (FTTH) networks. Installing an FTTH infrastructure, however, involves very high investment cost. Therefore, a good estimation of the investment cost is important for building a successful business strategy and, consequently, to speed up the FTTH penetration. In this paper, for calculating the amount of cable and fibre in the outside plant together with the associated civil works, and the number of required network elements, two different approaches are investigated: (1) geometric modelling of the fibre plant based on approximate mathematical models and (2) geographic modelling of the fibre plant based on map-based geospatial data. The results obtained from these two approaches can then be used as input for preliminary investment cost calculations and/or techno-economic evaluations. Compared to more complex and accurate geographic modelling, we verify that especially with uneven population density and irregular street system, simple geometric models do not provide accurate results. However, if no geospatial data is available or a fast calculation is desired for a first estimation, geometric models definitely have their relevance. Based on the case studies presented in this paper, we propose some important guidelines to improve the accuracy of the geometric models by eliminating their main distortion factors.
Place, publisher, year, edition, pages
2013. Vol. 54, no 2, 113-127 p.
Fibre to the home (FTTH), Cost estimation, Techno-economic, Network models, Topology
Communication Systems Telecommunications
IdentifiersURN: urn:nbn:se:kth:diva-131191DOI: 10.1007/s11235-013-9720-3ISI: 000326892500002ScopusID: 2-s2.0-84888057646OAI: oai:DiVA.org:kth-131191DiVA: diva2:654785
FunderEU, FP7, Seventh Framework Programme
QC 201312062013-10-082013-10-082013-12-06Bibliographically approved