• DocumentCode
    3034841
  • Title

    Optimising dual homing for long-reach passive optical networks

  • Author

    Arbelaez, Alejandro ; Mehta, Deepak ; O´Sullivan, Barry ; Quesada, Luis

  • Author_Institution
    Insight Centre for Data Analytics, Univ. Coll. Cork, Cork, Ireland
  • fYear
    2015
  • fDate
    24-27 March 2015
  • Firstpage
    235
  • Lastpage
    242
  • Abstract
    Mass deployment of fibre access networks is without doubt the next short to medium term goal of many network operators around the globe. Long-Reach Passive Optical Network (LR-PON) has been proposed as a solution to help spreading mass deployment of fibre-to-the-home (FTTH), by reducing the cost per customer compared to current commercially available technologies. This paper addresses the issue of reducing protection costs of dual homing for LR-PON deployment by optimally configuring the number of PONs and their sizes. We study two different ways of configuring PONs. The first approach is about designing fibre tree network by trading distance and the split-size of the PONs optimally. Second, we study a ring architecture where some PONs can be connected in a chain and may not be connected to two metro-core nodes directly. The scalability of our approach is demonstrated by performing nation-wide study of Ireland. Our results show that the open ring strategy that can reduced the total distance-based cost by approximately 66% in rural areas where the architecture can be applied.
  • Keywords
    optical fibre subscriber loops; passive optical networks; FTTH; LR-PON; fibre access networks; fibre tree network; fibre-to-the-home; long reach passive optical network; network operators; optimising dual homing; trading distance; Communication networks; Joining processes; Manganese; Optical network units; Passive optical networks; Reliability engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design of Reliable Communication Networks (DRCN), 2015 11th International Conference on the
  • Conference_Location
    Kansas City, MO
  • Type

    conf

  • DOI
    10.1109/DRCN.2015.7149018
  • Filename
    7149018