• DocumentCode
    3419542
  • Title

    Low-complexity receivers for multiuser detection with an unknown number of active users

  • Author

    Angelosante, Daniele ; Biglieri, Ezio

  • Author_Institution
    DAEIMI, Univ. di Cassino, Cassino
  • fYear
    2008
  • fDate
    March 31 2008-April 4 2008
  • Firstpage
    3481
  • Lastpage
    3484
  • Abstract
    In multiuser detection, the set of users active at any time may be unknown to the receiver. A two-step detection procedure, in which multiuser detection is preceded by active-user identification, is suboptimum. The optimum solution consists of detecting simultaneously the set of active users and their data, problem that can be solved exactly by applying random-set theory (RST). However, implementation of optimum detectors can be limited by their complexity, which grows exponentially with the number of potential users. In this paper we illustrate how the complexity of optimum can be reduced. In particular, sphere detection (SD) techniques (possibly in an approximate version) are examined.
  • Keywords
    multiuser detection; receivers; set theory; active-user identification; low-complexity receivers; multiuser detection; random-set theory; sphere detection techniques; two-step detection procedure; Complexity theory; Detection algorithms; Detectors; Estimation theory; Maximum likelihood estimation; Multiuser detection; Parameter estimation; Signal detection; Stochastic processes; Tree graphs; Bayes procedures; Complexity theory; Signal detection; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-1483-3
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2008.4518401
  • Filename
    4518401