• DocumentCode
    3520628
  • Title

    Maximin robust design for MIMO communication systems against imperfect CSIT

  • Author

    Wang, Jiaheng ; Palomar, Daniel P.

  • Author_Institution
    Dept. of Electron. & Comput. Eng., Hong Kong Univ. of Sci. & Technol., Hong Kong
  • fYear
    2009
  • fDate
    19-24 April 2009
  • Firstpage
    2397
  • Lastpage
    2400
  • Abstract
    This paper considers robust transmit strategies, against the imperfectness of CSIT, for MIMO communication systems. Following a deterministic model that assumes the actual channel inside an ellipsoid centered at a nominal channel, we maximize the worst-case received SNR. It is shown that, for a general class of power constraints, the resulting maximin problem can be equivalently transformed into a convex problem, or even further into a semidefinite program. The most important result is that the optimal transmit directions are just the right singular vectors of the nominal channel under some mild conditions. This result reduces the complicated matrix-valued problems to scalar power allocation problems, for which the closed-form solutions are provided.
  • Keywords
    MIMO communication; channel estimation; minimax techniques; CSIT; MIMO communication; SNR; channel state information; convex problem; maximin robust design; scalar power allocation; Constraint optimization; Covariance matrix; Design optimization; Ellipsoids; MIMO; Power system modeling; Robustness; Stochastic processes; Transmitters; Vectors; MIMO; SDP; convex optimization; imperfect CSIT; maximin; worst-case robust designs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-2353-8
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2009.4960104
  • Filename
    4960104