A techno-economic network planning tool for PON deployment including protection strategies

German V. Arevalo; Roberto Gaudino

doi:10.1109/ICTON.2017.8025122

A techno-economic network planning tool for PON deployment including protection strategies

German V. Arevalo, Roberto Gaudino

Electronics and Telematics Research Group (GIETEC)

Research output: Contribution to conference › Paper

10 Scopus citations

Abstract

© 2017 IEEE. We developed a techno-economic network planning tool for deployment of PON networks in large cities involving hundreds of thousands of end-users. The tool use techno-economic data and street-aware algorithms to estimate the global cost of the network. In the present new work, we extend the application scenario of our planning tool to estimate the increase of cost when different types of protection strategies are introduced in PON networks.

Translated title of the contribution	Una herramienta de planificación de redes tecno-económica para el despliegue de PONs, incluyendo estrategias de protección.
Original language	English (US)
DOIs	https://doi.org/10.1109/ICTON.2017.8025122
State	Published - 1 Sep 2017
Event	International Conference on Transparent Optical Networks - Girona, Spain Duration: 2 Jul 2017 → 6 Jul 2017

Conference

Conference	International Conference on Transparent Optical Networks
Abbreviated title	ICTON 2017
Country/Territory	Spain
City	Girona
Period	2/07/17 → 6/07/17

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10.1109/ICTON.2017.8025122

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abstract = "{\textcopyright} 2017 IEEE. We developed a techno-economic network planning tool for deployment of PON networks in large cities involving hundreds of thousands of end-users. The tool use techno-economic data and street-aware algorithms to estimate the global cost of the network. In the present new work, we extend the application scenario of our planning tool to estimate the increase of cost when different types of protection strategies are introduced in PON networks.",

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AB - © 2017 IEEE. We developed a techno-economic network planning tool for deployment of PON networks in large cities involving hundreds of thousands of end-users. The tool use techno-economic data and street-aware algorithms to estimate the global cost of the network. In the present new work, we extend the application scenario of our planning tool to estimate the increase of cost when different types of protection strategies are introduced in PON networks.

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A techno-economic network planning tool for PON deployment including protection strategies

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