• DocumentCode
    2081371
  • Title

    Optimal constellation distortion for PAR reduction in MIMO-OFDM systems

  • Author

    Malkin, Moshe ; Zou, Hao ; Malek, Alan ; Cioffi, John M. ; Krongold, Brian

  • Author_Institution
    Electr. Eng., Stanford Univ., Stanford, CA
  • fYear
    2008
  • fDate
    26-29 Oct. 2008
  • Firstpage
    943
  • Lastpage
    947
  • Abstract
    One of the main problems with orthogonal frequency division multiplexing (OFDM) modulation is the high peak-to-average-ratio (PAR) of the transmitted time-domain signal. Optimally distorting the transmitted constellation for peak reduction in OFDM systems was introduced and shown to be a convex optimization problem. This work advantageously extends this approach to multiple-input multiple-output (MIMO) systems. While the problem is still convex, solving the problem using standard convex optimization techniques quickly becomes computationally prohibitive for a large number of tones and/or antennas. This paper therefore also proposes solving the optimization problem using an interior-point method (IPM) based on the conjugate-gradient (CG) algorithm.
  • Keywords
    MIMO communication; OFDM modulation; conjugate gradient methods; convex programming; MIMO-OFDM systems; conjugate-gradient algorithm; convex optimization problem; interior-point method; optimal constellation distortion; peak-to-average-ratio reduction; Constellation diagram; Contacts; Distortion; MIMO; OFDM modulation; Optimization methods; Peak to average power ratio; Quadrature amplitude modulation; Time domain analysis; Transmitting antennas;
  • 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.2008.5074550
  • Filename
    5074550