New trends on Optical Access Networks: DBAs for 10G EPON and Long-Reach PON

The access network infrastructure plays an important role in the overall performance of the network, next generation access networks (NGA) must be able to access diverse services, and should incorporate adequate architectures that include mechanisms for the integration of different technologies. New optical access technologies trends are: WDM, 10 Gb/s, and longer reach/higher splits. It is also important to take into account the evolution of the installed legacy PONs to the next generation optical access networks. The present paper goes through such topics, focusing on the research being carried out to develop dynamic bandwidth algorithms for the 10 Gb/s new EPON standard (IEEE 802.3av). We summarize results and point out issues that will require further investigation.Postprint (published version

Optimizing the migration to future-generation passive optical networks (PON)

We study the upgrading problem of existing Passive Optical Networks (PONs) that need to increase their capacity at different points in time. Our method upgrades line rates and migrates network services over new wavelength channels based on increasing traffic demand and cost constraints. Our method minimizes capital expenses and system disruptions, while ensuring effective resource usage. Our multistep model uses Mixed Integer Linear Program (MILP) formulations whose cost parameters are set by a pricing policy. We evaluate the PON upgrade through installation of single-wavelength transceivers or multiple-wavelength arrays of transceivers. We consider a typical case study, which is solved using CPLEX. Illustrative examples demonstrate the attractive properties of our method.Postprint (published version

Next Generation Optical Access Networks: from TDM to WDM

Postprint (author’s final draft

Algoritmo distribuido para la asignación dinámica de recursos en redes EPON

Peer ReviewedPostprint (published version

Resource optimization in passive optical networks: dynamic bandwidth Allocation, Evolution, and Cost-Effective Capacity Upgrades

This thesis is a result of contributions to optimize or improve resource allocation in Passive Optical Networks (PON). The contributions are related with resource allocation during PON operation and with the upgrade process to allocate more capacity to the network in an "as-needed" fashion. We first address algorithms for Dynamic Bandwidth Allocation (DBA) in the upstream channel of Ethernet-based PONs through providing a state-of-the-art survey and proposing two algorithms. The proposed DBA results demonstrate improved performance and fairness among users. Then we introduce the problem of allocating new capacity to an existing PON through addition of wavelength (channels) and line-rate upgrades. In this regard, we first analyze possible strategies for PON evolution, and then we provide a new cost-based method to optimize the upgrade process in a per-period basis. The results on PON evolution analysis and our capacity-upgrade method contribute to cost reductions while optimizing new channel allocation, maximizing network capacity usage, and assuring minimum disturbances.Esta tesis es el resultado de contribuciones para optimizar o mejorar la distribución de recursos en Redes Ópticas Pasivas (PONs). Las contribuciones están relacionadas con el uso de los recursos durante la operación de las PONs y con el proceso de incremento en la capacidad en la red de forma gradual. Primero enfocamos el estudio en algoritmos de Distribución Dinámica de Ancho de Banda (DBA, por las siglas en inglés) sobre el canal ascendente de las redes PON basadas en Ethernet, para lo cual proveemos un resumen del estado del arte y proponemos dos nuevos algoritmos. Los resultados de evaluar los DBA propuestos demuestran mejoras en el rendimiento y mayor justicia entre los usuarios. Posteriormente se introduce el problema de asignar más capacidad a una PON existente mediante la implementación de nuevas longitudes de onda (canales) y aumento de la tasa de línea. Finalmente se plantea un método que minimiza las inversiones en el proceso de migración de las redes PON. Los resultados en el análisis de la evolución de las PONs y nuestro método basado en costos para incrementar la capacidad, contribuyen a reducir la inversión a la vez que se optimiza la implementación y asignación de nuevos canales, maximizando el uso de la capacidad de la red, y asegurando mínimos cortes de servicios

New trends on Optical Access Networks: DBAs for 10G EPON and Long-Reach PON

The access network infrastructure plays an important role in the overall performance of the network, next generation access networks (NGA) must be able to access diverse services, and should incorporate adequate architectures that include mechanisms for the integration of different technologies. New optical access technologies trends are: WDM, 10 Gb/s, and longer reach/higher splits. It is also important to take into account the evolution of the installed legacy PONs to the next generation optical access networks. The present paper goes through such topics, focusing on the research being carried out to develop dynamic bandwidth algorithms for the 10 Gb/s new EPON standard (IEEE 802.3av). We summarize results and point out issues that will require further investigation

Optimizing the migration to future-generation passive optical networks (PON)

We study the upgrading problem of existing Passive Optical Networks (PONs) that need to increase their capacity at different points in time. Our method upgrades line rates and migrates network services over new wavelength channels based on increasing traffic demand and cost constraints. Our method minimizes capital expenses and system disruptions, while ensuring effective resource usage. Our multistep model uses Mixed Integer Linear Program (MILP) formulations whose cost parameters are set by a pricing policy. We evaluate the PON upgrade through installation of single-wavelength transceivers or multiple-wavelength arrays of transceivers. We consider a typical case study, which is solved using CPLEX. Illustrative examples demonstrate the attractive properties of our method