• DocumentCode
    3316266
  • Title

    A speed based adaptive algorithm for reducing paging cost in cellular networks

  • Author

    Goel, Ashish ; Gupta, Navankur ; Kumar, Prakhar

  • Author_Institution
    Dept. of Electron. & Commun. Eng., Jaypee Inst. of Inf. Technol. Univ., Noida, India
  • fYear
    2009
  • fDate
    8-11 Aug. 2009
  • Firstpage
    22
  • Lastpage
    25
  • Abstract
    Location update and paging are important parts of location management of cellular network. This paper deals with a new algorithm to reduce paging cost using speed adaptive strategy. The proposed algorithm uses speed distribution and random walk model to develop look-up tables for mobile terminal. These tables are used to find out subarea size to be paged. Paging area is further reduced by introduction of 120 degree paging zones. A paging agent is used to store previous VLR address and helps to find out optimal paging zone. The proposed algorithm is capable of reducing the paging cost approximately by a factor of two for maximum subarea area size 6 i.e. approximately half of the cells are required to be paged.
  • Keywords
    cellular radio; mobility management (mobile radio); paged storage; random processes; table lookup; VLR address; cellular networks; location management; look-up tables; mobile terminal; paging agent; paging cost reduction; random walk model; speed-based adaptive algorithm; Adaptive algorithm; Bandwidth; Communication switching; Cost function; Databases; Information technology; Land mobile radio cellular systems; Mobile communication; Mobile handsets; Paging strategies; Location Management; Location paging; Mobile switching center (MSC); Random Walk Model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-4519-6
  • Electronic_ISBN
    978-1-4244-4520-2
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2009.5234786
  • Filename
    5234786