• DocumentCode
    2083263
  • Title

    Per-antenna power constrained MIMO transceivers optimized for BER

  • Author

    Weng, Ching-Chih ; Vaidyanathan, P.P.

  • Author_Institution
    Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA
  • fYear
    2008
  • fDate
    26-29 Oct. 2008
  • Firstpage
    1300
  • Lastpage
    1304
  • Abstract
    This paper considers the linear transceiver optimization problem for multi-carrier multiple-input multiple-output (MIMO) channels with per-antenna power constraints. Because in practical implementations each antenna is limited individually by its equipped power amplifier, this paper adopts the more realistic per-antenna power constraints, in contrast to the conventional sum-power constraint on the transmitter antennas. Assuming perfect channel knowledge both at the transmitter and the receiver, the optimization problem can be transformed into a semi-definite program (SDP), which can be solved by convex optimization tools. Furthermore, several objective functions of the MIMO system, including average bit error rate, can also be optimized by the introduction of the majorization theory.
  • Keywords
    MIMO communication; convex programming; error statistics; power amplifiers; telecommunication channels; transceivers; transmitting antennas; BER; MIMO system; conventional sum-power constraint; convex optimization tool; linear transceiver optimization problem; majorization theory; multicarrier multiple-input multiple-output channel; per-antenna power constraint; power amplifier; semidefinite program; transmitter antenna; Bit error rate; Communication systems; Constraint optimization; Decision feedback equalizers; MIMO; Power amplifiers; Receiving antennas; Transceivers; Transmitters; Transmitting antennas; BER Optimization; MIMO Transceivers; Per-antenna Constraints; Schur Convexity; Semi-definite Programming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2008 42nd Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4244-2940-0
  • Electronic_ISBN
    1058-6393
  • Type

    conf

  • DOI
    10.1109/ACSSC.2008.5074628
  • Filename
    5074628