• DocumentCode
    1705704
  • Title

    Exploiting Opportunistic Multiuser Detection in Decentralized Multiuser MIMO Systems

  • Author

    Zhang, Rui ; Cioffi, John M.

  • Author_Institution
    Inst. for Infocomm Res., A*STAR, Singapore, Singapore
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper studies the design of a decentralized multiuser MIMO system for spectrum sharing over a fixed bandwidth, where the coexisting users independently update their transmit covariance matrices for individual rate maximization via an iterative manner. This design problem was usually investigated in the literature by assuming that each user treats the co-channel interference from all the other users as additional noise at its receiver, i.e., the conventional single-user decoding (SUD) for the MIMO channel is applied. In this paper, we propose a new decoding method for the decentralized multiuser MIMO system, whereby each user opportunistically cancels the co-channel interference from some or all of the other users via applying multiuser detection techniques, thus named opportunistic multiuser detection (OMD). This paper studies the optimal transmit covariance matrix for each user to iteratively maximize transmit rate with the proposed OMD, and shows the resultant capacity gains over the conventional SUD.
  • Keywords
    MIMO communication; covariance matrices; decoding; multi-access systems; multiuser detection; MIMO channel; co-channel interference; covariance matrices; decentralized multiuser MIMO systems; opportunistic multiuser detection; optimal transmit covariance matrix; single-user decoding; spectrum sharing; Bandwidth; Covariance matrix; Gaussian noise; Interchannel interference; Interference cancellation; Interference channels; Iterative decoding; MIMO; Multiuser detection; Symmetric matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2009. GLOBECOM 2009. IEEE
  • Conference_Location
    Honolulu, HI
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4244-4148-8
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2009.5426301
  • Filename
    5426301