• DocumentCode
    2036020
  • Title

    A User Level Markov model for service based CRRM algorithm

  • Author

    Wu, Leijia ; Al Sabbagh, Abdallah E. ; Sandrasegaran, Kumbesan ; Elkashlan, Maged

  • fYear
    2010
  • fDate
    2-4 March 2010
  • Firstpage
    41
  • Lastpage
    44
  • Abstract
    In order to support the conceptual development of Radio Access Technology (RAT) selection algorithms, the theory of Markov model has been used. Performance metrics can be derived from the steady state probabilities of a Markov model. This paper extends a User Level Markov model for a three colocated RATs system from existing two co-located RATs Markov models. The service based RAT selection algorithm has been studied using the proposed Markov model. Numerical results obtained from the proposed Markov model are presented.
  • Keywords
    Markov processes; probability; radio access networks; telecommunication network management; common radio resource management strategy; radio access technology selection algorithms; service based CRRM algorithm; service based RAT selection algorithm; steady state probabilities; user level Markov model; 3G mobile communication; Australia; Costs; Electronic mail; Laboratories; Quality of service; Rats; Resource management; Steady-state; Wireless LAN;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Computing and Information Technology (MCIT), 2010 International Conference on
  • Conference_Location
    Sharjah
  • Print_ISBN
    978-1-4244-7001-3
  • Type

    conf

  • DOI
    10.1109/MCIT.2010.5444856
  • Filename
    5444856