6th International ICST Conference on Broadband Communications, Networks, and Systems

Research Article

Topology Design and Capex Estimation for Passive Optical Networks

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  • @INPROCEEDINGS{10.4108/ICST.BROADNETS2009.7245,
        author={Attila Mitcsenkov and G\^{e}za Paksy and Tibor Cinkler},
        title={Topology Design and Capex Estimation for Passive Optical Networks},
        proceedings={6th International ICST Conference on Broadband Communications, Networks, and Systems},
        publisher={IEEE},
        proceedings_a={BROADNETS},
        year={2009},
        month={11},
        keywords={Passive Optical Network Network deployment Topology planning Optical access network Broadband access PON FTTx CAPEX},
        doi={10.4108/ICST.BROADNETS2009.7245}
    }
    
  • Attila Mitcsenkov
    Géza Paksy
    Tibor Cinkler
    Year: 2009
    Topology Design and Capex Estimation for Passive Optical Networks
    BROADNETS
    IEEE
    DOI: 10.4108/ICST.BROADNETS2009.7245
Attila Mitcsenkov1,*, Géza Paksy1,*, Tibor Cinkler1,*
  • 1: Department Of Telecommunications and Media Informatics, Budapest University of Technology and Economics, Budapest, Hungary
*Contact email: mitcsenkov@tmit.bme.hu, paksy@tmit.bme.hu, cinkler@tmit.bme.hu

Abstract

Several optical access network technologies are available for network operators providing broadband services (FTTx: Fiber-to-the-X solutions). These technologies are now in deployment phase, therefore network and topology design issues play an increasingly important role. In this paper we address broadband optical access network design minimizing deployment costs, taking operation issues into account, using detailed cost and network models of the above listed FTTx technologies that suit best to actual networks due to detailed cost metrics used instead of just minimizing fiber lengths. We present a heuristic solution that works fast even for large problem instances, providing results with a difference less than approximately 10-20% from the computed ILP (Integer Linear Programming) optimum for smaller cases where ILP could be used. Along with these algorithms we present case studies of real-life network and service requirement instances (number of customers ranging from 400 to 20.000).