• DocumentCode
    394807
  • Title

    Polynomial complexity optimal multiuser detection for a wider class of problems

  • Author

    Motani, Mehul

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
  • Volume
    1
  • fYear
    2003
  • fDate
    20-20 March 2003
  • Firstpage
    375
  • Abstract
    It is well known that jointly optimal multiuser detection for code division multiplex access (CDMA) systems has complexity which grows exponentially with the number of users. Recently, several authors [S. Ulukus and R. D. Yates, April 1998], [C. Sankaran and A. Ephremides, Sept. 1998], [C. Schlegel and A. Grant, 2000] have reported that, for certain special sets of spreading sequences, optimal multiuser detection in synchronous CDMA systems can be performed with computational complexity which is polynomial in the number of users. In this paper, we show that the existing polynomial complexity (PC) algorithms of [S. Ulukus and R. D. Yates, April 1998], [C. Sankaran and A. Ephremides, Sept. 1998], [C. Schlegel and A. Grant, 2000] lead to efficient algorithms for a wider class of spreading sequences than initially proposed. We identify these sequences and prove the existence of optimal polynomial-complexity algorithms for detecting synchronous CDMA signals using these sequences. We also give constructions of sets of binary antipodal spreading sequences for which optimal polynomial-complexity algorithms exist and show that for any sequence length N, we can construct at least N such sequences.
  • Keywords
    code division multiple access; computational complexity; multiuser detection; optimisation; polynomials; sequences; CDMA; code division multiple access systems; computational complexity; jointly optimal multiuser detection; polynomial complexity algorithms; spreading sequences; Code division multiplexing; Computational complexity; Covariance matrix; Detectors; Maximum likelihood detection; Maximum likelihood estimation; Multiaccess communication; Multiuser detection; Polynomials; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking, 2003. WCNC 2003. 2003 IEEE
  • Conference_Location
    New Orleans, LA, USA
  • ISSN
    1525-3511
  • Print_ISBN
    0-7803-7700-1
  • Type

    conf

  • DOI
    10.1109/WCNC.2003.1200378
  • Filename
    1200378