• DocumentCode
    396043
  • Title

    Convex optimization theory applied to joint beamforming design in multicarrier MIMO channels

  • Author

    Palomar, Daniel Perez ; Cioffi, John M. ; Lagunas, Miguel Angel ; Iserte, Antonio Pascual

  • Author_Institution
    Dept. of Signal Theory & Commun., Univ. Politecnica de Catalunya, Barcelona, Spain
  • Volume
    4
  • fYear
    2003
  • fDate
    11-15 May 2003
  • Firstpage
    2974
  • Abstract
    This paper addresses the joint design of transmit and receive beamvectors for a multicarrier MIMO channel within the general and powerful framework of convex optimization theory. From this perspective, a great span of design criteria can be easily accommodated and efficiently solved even though closed-form expressions may not be available. Among other criteria, we consider the minimization of the average bit error rate (BER) and also of the maximum BER among all carriers for a given signal constellation. We show how to include additional constraints to control the peak-to-average ratio (PAR) in the system design.
  • Keywords
    MIMO systems; antenna arrays; array signal processing; convex programming; error statistics; optimisation; receiving antennas; telecommunication channels; transmitting antennas; SINR; average BER; bit error rate; convex optimization theory; joint beamforming design; mean square error; multicarrier MIMO channels; multiple antennas; multiple input multiple output; peak-to-average ratio control; receive beamvectors; signal-to-interference-plus-noise ratio; transmit beamvectors; Array signal processing; Bit error rate; Constellation diagram; Control systems; Design optimization; Frequency; MIMO; Peak to average power ratio; Receiving antennas; Signal design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2003. ICC '03. IEEE International Conference on
  • Print_ISBN
    0-7803-7802-4
  • Type

    conf

  • DOI
    10.1109/ICC.2003.1204611
  • Filename
    1204611