• DocumentCode
    2562382
  • Title

    An adaptive access selection with multple attributes in cognitive radio network

  • Author

    Baek, Seung-Kwon ; Song, Jae-Su ; Kim, Jin-up

  • Author_Institution
    Electron. & Telecommun. Res. Inst., Daejeon, South Korea
  • fYear
    2009
  • fDate
    12-14 Oct. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In future wireless networks, the users will have the capability to access to multiple networks via multi-mode terminal. There is a need to have mechanism in place to decide which radio access network is the most suitable for the user and for the services that the user requires. To address these issues, we propose an access system(AS) selection algorithm, based on a combination of multi-attribute utility theory, in cognitive radio network. In order to achieve the proposal, we propose the system architecture and AS selection scheme for heterogeneous cognitive radio network. Our AS selection scheme is user-centric intelligent mechanism by introducing the utility functions with various parameters such as radio condition, load of each access system, mobility pattern of user and preference. The experimental result shows proposed AS selection scheme results in better performance than traditional vertical handover scheme.
  • Keywords
    cognitive radio; radio access networks; access system selection algorithm; heterogeneous cognitive radio network; multiattribute utility theory; multimode terminal; multiple attributes; radio condition; user-centric intelligent mechanism; vertical handover scheme; Availability; Cognitive radio; Fuzzy logic; Mobile radio mobility management; Radio access networks; Radio spectrum management; Resource management; Utility theory; Wireless LAN; Wireless networks; Access System selection; Inter-system handover; Mobility management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ultra Modern Telecommunications & Workshops, 2009. ICUMT '09. International Conference on
  • Conference_Location
    St. Petersburg
  • Print_ISBN
    978-1-4244-3942-3
  • Electronic_ISBN
    978-1-4244-3941-6
  • Type

    conf

  • DOI
    10.1109/ICUMT.2009.5345619
  • Filename
    5345619