• DocumentCode
    3642958
  • Title

    Multidimenzional decission function on access technology

  • Author

    Amra Hajdarević;Darijo Raca;Mesud Hadžialić;Narcis Behlilović

  • Author_Institution
    Ericsson d.o.o., Faculty of Electrical Engineering, Sarajevo, Bosnia and Herzegovina
  • fYear
    2011
  • fDate
    6/1/2011 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Wireless data services, boosted by the massive use of popular Internet-based services such as email, WWW, etc., wireless wideband networks capable of supporting mobile multimedia services have attracted increasing intention in last few years. An important requirement has been postulated for these wideband services - they cannot be substantially more expensive than the voice services offered today. This paper presents analysis of mobile wireless networks: HSPA and WiMAX made in order to compare multidimensional acceptance of investments in these technologies. Based in model in OPNET Modeler, the simulation and testing of different typical signals in these networks are made, where the Core network is taken as the same for both networks in order to neglect its influence on QoS results. The simulation results are than used as one dimension, QoS in multidimensional function of investment process. Also, business analysis of investments into these networks is also done, and 5-year investment value is taken as another dimension. The third dimension is taken as market acceptance of these technologies, which makes them cheaper or faster to implement. The result is multidimensional function which enables the operator to direct its investment process based on the same multidimensional space. It is shown that operator can decide to deploy one or another technologies based on its preferences.
  • Keywords
    "WiMAX","Mobile communication","Quality of service","Mobile computing","Investments","Licenses","Base stations"
  • Publisher
    ieee
  • Conference_Titel
    Systems, Signals and Image Processing (IWSSIP), 2011 18th International Conference on
  • ISSN
    2157-8672
  • Print_ISBN
    978-1-4577-0074-3
  • Electronic_ISBN
    2157-8702
  • Type

    conf

  • Filename
    5977372