Techno-economics of advanced optical subscriber networks

Gardan, D.; Zaganiaris, A.; Madani, Abbas; Madigou, R.; Machón, D.

doi:10.1109/glocom.1989.64169

Cited by 9 publications

(7 citation statements)

References 2 publications

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“…As already mentioned in Section 1, the physical access network could be represented by analytical or geometric models [9] using area-wide average parameters of the selected area (e.g. population density, diameter); or the results of a more realistic, geographic network design process could be used directly, supposed that the required geospatial information is available [12].…”

Section: Techno-economic Frameworkmentioning

confidence: 99%

“…The model initially proposed in [9], was also used in the RACE 2087/TITAN [16] project, in the ACTS 226…”

Section: Triangle Modelmentioning

confidence: 99%

“…[9,10], which are based on a set of statistic parameters describing the considered area, such as average population density and distance from the end users to the central office (CO).…”

Section: Introductionmentioning

confidence: 99%

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Geometric versus geographic models for the estimation of an FTTH deployment

et al. 2013

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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.

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Section: Techno-economic Frameworkmentioning

confidence: 99%

“…The model initially proposed in [9], was also used in the RACE 2087/TITAN [16] project, in the ACTS 226…”

Section: Triangle Modelmentioning

confidence: 99%

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Geometric versus geographic models for the estimation of an FTTH deployment

et al. 2013

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“…Finding the most suitable solution for a given service area, service set and economic conditions plays a crucial role regarding profitability of the network operator -and all these aspects strongly determine or are determined by the network design. The physical access network could be represented by analytical models [8] using overall parameters of the selected area (e.g. population density, diameter); or the results of a realistic, geography-based network design process could be used directly, supposed that the required geospatial information is available [9].…”

Section: Network Designmentioning

confidence: 99%

General framework for techno-economic analysis of next generation access networks

Kantor

Wajda

Lannoo

et al. 2010

2010 12th International Conference on Transparent Optical Networks

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A large variety of access network technologies and architectures that provide wide service portfolio to the customer are available for the network operators. Each of the potential access network architectures and technologies varies in complexity, network functionality, services supported and overall network costs. A detailed comparison of the economic viability of different access network scenarios is crucial for operators due to the high cost of this network segment. This paper identifies all essential elements of a general framework for the techno-economic analysis of different access network technologies and architectures, as well as describes some specific issues/problems related to the techno-economic evaluation of next generation (NG) access networks. The goal is to have at operator's disposal a methodology allowing the techno-economic comparison of the proposed access network solutions and their introduction/rollout.

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“…This is either based on geometric models or geographic models.  Geometric models like the Triangle model [2], the Simplified Street Length Model [3], Gabriel graphs [4], and TITAN [5] are easy to use but may lead to inaccurate results/ estimations especially for uneven distributed data, which is the case in most practical cases. Geometric models are using only the area-wide average parameters, and not their local characteristics.…”

Section: Introductionmentioning

confidence: 99%