• DocumentCode
    1767656
  • Title

    An analysis of optimized CapEx for multi-core fiber based optical networks

  • Author

    Yao Li ; Nan Hua ; Xiaoping Zheng

  • Author_Institution
    Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
  • fYear
    2014
  • fDate
    9-10 Nov. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this article, we investigate the costs of optical network Capital Expenditure (CapEx) components which include fiber, optical amplifier (OA), cable and conduit. The CapEx of high-capacity optical network under given traffic requests is optimized, and results are analyzed to evaluate the influences of Multi-core Fiber (MCF) communication system on the components of optical network CapEx. To solve the optimization problem, network CapEx is modelled and an integer linear programming (ILP) formulation is proposed. Numerical results show that by using MCF communication system, optical network CapEx can be reduced significantly. The cost of OA takes the largest proportion of the network CapEx, and can be reduced by deploying MCF communication system to optical networks. Fiber density can be increased by using MCF, thus decreasing the costs of cable and conduit.
  • Keywords
    integer programming; linear programming; optical cables; optical fibre amplifiers; optical fibre networks; telecommunication traffic; CapEx optimization; ILP formulation; MCF communication system; fiber density; high-capacity optical network; integer linear programming formulation; multicore fiber; multicore fiber communication system; optical amplifier; optical network capital expenditure; Optical fiber amplifiers; Optical fiber cables; Optical fiber devices; Optical fiber networks; Integer linear programming; Multi-core fiber; Network CapEx optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Optical Communications and Networks (ICOCN), 2014 13th International Conference on
  • Conference_Location
    Suzhou
  • Type

    conf

  • DOI
    10.1109/ICOCN.2014.6987071
  • Filename
    6987071