Geography- and infrastructure-aware topology design methodology for broadband access networks (FTTx)

Geography- and infrastructure-aware topology design methodology for broadband access networks (FTTx) We present a topology design methodology for broadband (FTTx) access networks. The calculations are based on real geographic data (digital maps) and infrastructural information of the targeted area, using detailed and realistic cost models in order to provide results of practical interest. The developed heuristics offer low time consumption and nearly optimal solutions for the highly complex problem of minimal cost network deployment, due to the properly chosen and customized heuristic algorithms for the various network technologies. We review the specific properties of the FTTx network technologies, present a formal representation of the problem including a detailed cost function and network model and discuss complexity issues. The various solution techniques are presented along with case studies of real-life scenarios in order to show the potential of the methodology. The developed heuristic algorithms offer an approximation of the optimum within 10–15%, while time consumption remains in the range of a few minutes, even for large-scale scenarios with 10,000s of customers. Beyond topology design, the results provided by these methods are useful for a preliminary CAPEX estimation and techno-economic comparison. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Photonic Network Communications Springer Journals

Geography- and infrastructure-aware topology design methodology for broadband access networks (FTTx)

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Publisher
Springer US
Copyright
Copyright © 2010 by Springer Science+Business Media, LLC
Subject
Computer Science; Computer Communication Networks; Electrical Engineering; Characterization and Evaluation of Materials
ISSN
1387-974X
eISSN
1572-8188
D.O.I.
10.1007/s11107-010-0297-4
Publisher site
See Article on Publisher Site

Abstract

We present a topology design methodology for broadband (FTTx) access networks. The calculations are based on real geographic data (digital maps) and infrastructural information of the targeted area, using detailed and realistic cost models in order to provide results of practical interest. The developed heuristics offer low time consumption and nearly optimal solutions for the highly complex problem of minimal cost network deployment, due to the properly chosen and customized heuristic algorithms for the various network technologies. We review the specific properties of the FTTx network technologies, present a formal representation of the problem including a detailed cost function and network model and discuss complexity issues. The various solution techniques are presented along with case studies of real-life scenarios in order to show the potential of the methodology. The developed heuristic algorithms offer an approximation of the optimum within 10–15%, while time consumption remains in the range of a few minutes, even for large-scale scenarios with 10,000s of customers. Beyond topology design, the results provided by these methods are useful for a preliminary CAPEX estimation and techno-economic comparison.

Journal

Photonic Network CommunicationsSpringer Journals

Published: Oct 28, 2010

References

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