• DocumentCode
    2294604
  • Title

    Utility-Dependent Network Selection using MADM in Heterogeneous Wireless Networks

  • Author

    Yu, Yifan ; Yong, Bai ; Lan, Chen

  • Author_Institution
    DoCoMo Beijing Commun. Lab., Beijing
  • fYear
    2007
  • fDate
    3-7 Sept. 2007
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In future wireless and mobile networks, the users will have the capability to access to multiple networks via multi-mode terminal. Therefore there is a need to have mechanisms in place to decide which radio access network (RAN) is the most suitable for the user and for every application that the user requires. The decision is complex because it has to be made according to the multiple attributes both in network side and user side. To address these issues, we propose a user-centric intelligent solution by making the modifications in the classical multiple attribute decision making (MADM) technique and introducing the utility function in the selection procedure. The proposed solution achieves the well trade-off among network condition, user preference, and service application and benefits both the users and RANs.
  • Keywords
    decision making; mobile radio; radio access networks; utility theory; heterogeneous wireless networks; mobile network; multimode terminal; multiple attribute decision making technique; radio access network; user-centric intelligent solution; utility function; utility-dependent network selection; Decision making; Fuzzy logic; Intelligent networks; Land mobile radio; Mobile communication; Next generation networking; Quality of service; Radio access networks; Wireless LAN; Wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Personal, Indoor and Mobile Radio Communications, 2007. PIMRC 2007. IEEE 18th International Symposium on
  • Conference_Location
    Athens
  • Print_ISBN
    978-1-4244-1144-3
  • Electronic_ISBN
    978-1-4244-1144-3
  • Type

    conf

  • DOI
    10.1109/PIMRC.2007.4394328
  • Filename
    4394328