• DocumentCode
    2455087
  • Title

    MSE Based Optimization of Multiuser MIMO MAC with Partial CSI

  • Author

    Zhang, Xi ; Jorswieck, Eduard A. ; Ottersten, Björn ; Paulraj, Arogyaswami

  • Author_Institution
    Signal Process., R. Inst. of Technol. (KTH), Stockholm
  • fYear
    2006
  • fDate
    Oct. 29 2006-Nov. 1 2006
  • Firstpage
    374
  • Lastpage
    378
  • Abstract
    This paper studies the optimal transmission design for multiple antenna multiple access channels with linear MMSE receiver at the base station and partial channel state information at the mobiles. The performance criterium for optimization is based on a Schur-concave function that works on the average individual MSEs of all users. The optimal beamforming matrix of each user corresponds to the eigenvector matrix of his channel correlation matrix. The remaining power allocation problem can be solved at reduced complexity. It is also direct to extend the results to Schur-convex functions. The results are illustrated by numerical simulations.
  • Keywords
    MIMO communication; concave programming; convex programming; least mean squares methods; mobile communication; multi-access systems; MIMO; MSE based optimization; Schur-concave function; Schur-convex function; channel correlation matrix; eigenvector matrix; linear MMSE receiver; multiple antenna multiple access channel; optimal beamforming matrix; optimal transmission design; partial channel state information; Array signal processing; Base stations; Channel state information; Design optimization; Downlink; Feedback; MIMO; Mean square error methods; Mobile antennas; Numerical simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2006. ACSSC '06. Fortieth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    1-4244-0784-2
  • Electronic_ISBN
    1058-6393
  • Type

    conf

  • DOI
    10.1109/ACSSC.2006.354771
  • Filename
    4176581