• DocumentCode
    1749532
  • Title

    Maximum-SNR space-time designs for MIMO channels

  • Author

    Stoica, Petre ; Ganesan, Girish

  • Author_Institution
    Dept. of Syst. & Control, Uppsala Univ., Sweden
  • Volume
    4
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    2425
  • Abstract
    We consider a communication scenario involving an m × n MIMO linear channel whose input is a symbol stream multiplied prior to transmission by an n x n space-time coding matrix X, and whose output is fed into an m × n linear combiner Z. We show how to choose the matrices X and Z to maximize the SNR of the linear combiner output data that are used for detection, under total power constraint (TPC), elemental power constraint (EPC), or total and elemental power constraint (TEPC). The TEPC design (considered here for the first time) is shown to include the TPC and EPC designs (previously considered by the authors) as special cases, and hence to provide a theoretically and practically interesting unifying framework. We make use of this framework to discuss various tradeoffs of the three space-time designs considered, such as transmission rate and requirements for channel status information at the transmission side
  • Keywords
    channel coding; constraint theory; matrix multiplication; optimisation; signal detection; MIMO linear channel; SNR maximization; channel status information; communication; detection; elemental power constraint; linear combiner; matrices; space-time coding matrix; symbol stream; total and elemental power constraint; total power constraint; transmission rate; Communication channels; Communication system control; Control systems; Detectors; Ear; Equations; Fading; Information technology; MIMO; Maximum likelihood detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
  • Conference_Location
    Salt Lake City, UT
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7041-4
  • Type

    conf

  • DOI
    10.1109/ICASSP.2001.940490
  • Filename
    940490