• DocumentCode
    1591080
  • Title

    Power and cost modeling for 5G transport networks

  • Author

    Raza, M.R. ; Fiorani, M. ; Skubic, B. ; Martensson, J. ; Wosinska, L. ; Monti, P.

  • Author_Institution
    KTH R. Inst. of Technol., Kista, Sweden
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Optical 5G transport networks are the subject of academic and industrial research aimed at identifying the best architectural and deployment options. In this regard, the optimization of both power consumption and equipment cost is a crucial aspect. This paper analyses a number of architectural options (i.e., all optical vs. intermediate electronic processing, with and without network caching) for optical 5G transport networks, with the objective of understanding which alternatives are the most promising in terms of total power consumption and equipment cost. The analysis presented in the paper shows that 10 Gbps transmission equipment combined with optical switching guarantees the best overall performance. On the other hand, 100 Gbps transmission equipment combined with electronic processing and network caching is also a promising approach, especially in fiber scarce scenarios.
  • Keywords
    5G mobile communication; cache storage; optical fibre networks; optical switches; all optical processing; architectural options; cost modeling; deployment options; equipment cost optimization; intermediate electronic processing; network caching; optical 5G transport networks; optical switching; power consumption optimization; power modeling; transmission equipment; Manganese; Mathematical model; Mobile communication; Optical fiber networks; Optical switches; Ports (Computers); Power demand; cost modeling; electronic switching; fronthaul; network caching; optical 5G transport; optical switching; power modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transparent Optical Networks (ICTON), 2015 17th International Conference on
  • Conference_Location
    Budapest
  • Type

    conf

  • DOI
    10.1109/ICTON.2015.7193533
  • Filename
    7193533