• DocumentCode
    533271
  • Title

    Immediate neighbor assignment and reduction in code blocking for OVSF-WCDMA

  • Author

    Balyan, Vipin ; Saini, Davinder S.

  • Author_Institution
    Dept. of Electron. & Commun. Eng., Jaypee Univ. of Inf. Technol., Waknaghat, India
  • fYear
    2010
  • fDate
    23-25 Sept. 2010
  • Firstpage
    155
  • Lastpage
    159
  • Abstract
    Code blocking is a major problem in Orthogonal Variable Spreading factor (OVSF) codes. Low rates are scattered in code tree which leads to more code blocking for high rate users. The paper proposes an immediate neighbor busy code design which leads to less code blocking to different user rates, utilizing full capacity of parent codes. For a new call, the vacant code is optimum if the most of the capacity under the parent of the vacant code is already utilized. Subsequently the code is picked from the crowded part of the code tree. This ultimately creates lot of vacant portion in the code tree for higher rate calls. Our system architecture and code assignment strategy provides significant improvement in number of code searches (call processing delay) and complexity. Simulation results are demonstrated to show the superiority of the proposed design as compared to other existing schemes.
  • Keywords
    block codes; channel allocation; code division multiple access; orthogonal codes; trees (mathematics); OVSF codes; WCDMA; code assignment strategy; code blocking; code searches; code tree; immediate neighbor assignment; orthogonal variable spreading factor; Algorithm design and analysis; Codecs; Complexity theory; Delay; Multiaccess communication; Real time systems; Spread spectrum communication; OVSF codes; WCDMA; code assignment; code blocking; code searches; crowded first assignment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software, Telecommunications and Computer Networks (SoftCOM), 2010 International Conference on
  • Conference_Location
    Split, Dubrovnik
  • Print_ISBN
    978-1-4244-8663-2
  • Electronic_ISBN
    978-953-290-004-0
  • Type

    conf

  • Filename
    5623612