Street-aware Algorithm for Optimal Dimensioning of Protected-pon in very Large Regions

German Vicente Arevalo Bermeo; Roberto Gaudino

doi:10.1049/cp.2017.0188

Street-aware Algorithm for Optimal Dimensioning of Protected-pon in very Large Regions

Título traducido de la contribución: Algoritmo consciente de la calle para el dimensionamiento óptimo de Protected-pon en regiones muy grandes

German Vicente Arevalo Bermeo
, Roberto Gaudino

Grupo de Investigación en Electrónica y Telemática (GIETEC)

Producción científica: Contribución a una conferencia › Documento

Resumen

En este artículo, proponemos un nuevo algoritmo para dimensionar óptimamente los despliegues de PON protegida en regiones urbanas muy extensas con cientos de miles de usuarios y diferentes demandas de velocidad de bits. Los resultados obtenidos muestran que, al comparar diferentes tecnologías PON en tres escenarios de demanda de velocidad de bits: actual, a medio y a largo plazo, el porcentaje de aumento de los costes de PON protegida, en comparación con una solución sin protección, aumenta exponencialmente para GPON y XGPON (con una tasa de aumento mucho mayor para la primera que para la segunda) y se mantiene prácticamente constante para NG-PON2.

Título traducido de la contribución	Algoritmo consciente de la calle para el dimensionamiento óptimo de Protected-pon en regiones muy grandes
Idioma original	Inglés estadounidense
DOI	https://doi.org/10.1049/cp.2017.0188
Estado	Publicada - 24 may. 2018
Evento	19th Italian National Conference on Photonic Technologies (Fotonica 2017) - IT Duración: 8 jun. 2017 → 11 jun. 2017 https://www.aconf.org/conf_99762.html

Conferencia

Conferencia	19th Italian National Conference on Photonic Technologies (Fotonica 2017)
Período	8/06/17 → 11/06/17
Dirección de internet	https://www.aconf.org/conf_99762.html

Palabras clave

Heuristics
Passive optical networks

Areas de Conocimiento del CACES

8417A Telecomunicaciones

Acceder al documento

10.1049/cp.2017.0188

Citar esto

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abstract = "In this paper we propose a novel algorithm for optimally dimension protected-PON deployments in very large urban regions with users in the order of hundreds of thousands with different bit rate demands. Results obtained show that when comparing different PON technologies sweeping a set of three bit rate demand scenarios: a today, a mid-term and a long-term scenario, the percentage of increase in the costs for protected PON, in comparison with a no protection solution, increase exponentially for GPON and XGPON (with much greater increase rate for the former in comparison to the latter) and keeps almost constant for NG-PON2.",

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