• DocumentCode
    26411
  • Title

    Efficient S-SCH Detection Algorithm for LTE Downlink Channel

  • Author

    Jungho Myung ; Joonhyuk Kang ; Youngseok Baek ; Bontae Koo

  • Author_Institution
    Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
  • Volume
    63
  • Issue
    6
  • fYear
    2014
  • fDate
    Jul-14
  • Firstpage
    2969
  • Lastpage
    2973
  • Abstract
    The cell-search procedure in the long-term evolution (LTE) downlink includes the time synchronization, the frequency synchronization of frames, and the acquisition of cell identity (ID). This paper presents a low-complexity detection algorithm for a secondary synchronization channel (S-SCH) in the acquisition of cell ID. The proposed algorithm classifies total S-SCH sequences into subgroups based on the correlation among sequences, and thus, the number of correlators for S-SCH detection is significantly reduced. Despite the complexity reduction, the numerical results show that the proposed algorithm provides a comparable detection probability (DP) compared with existing low-complexity approaches. To verify the performance of the proposed algorithm, the complexity analysis and analytical derivation of the DP are also presented.
  • Keywords
    Long Term Evolution; probability; radio links; wireless channels; ID; LTE downlink channel; S-SCH sequences; cell identity; cell search procedure; comparable detection probability; complexity reduction; efficient S-SCH detection algorithm; frequency synchronization; long term evolution; secondary synchronization channel; time synchronization; Computational complexity; Correlation; Detection algorithms; Indexes; Long Term Evolution; Synchronization; Cell search; long term evolution; long-term evolution (LTE); low-complexity algorithm; secondary synchronization channel (S-SCH) detection; secondary synchronization channel detection; synchronization;
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/TVT.2013.2295093
  • Filename
    6684309