• DocumentCode
    3156829
  • Title

    Precoding technique for peak-to-average-power-ratio (PAPR) reduction in MIMO OFDM/A systems

  • Author

    Khademi, Seyran ; Van der Veen, Alle-Jan ; Svantesson, Thomas

  • Author_Institution
    Fac. of Electr. Eng., Math. & Comput. Sci., Tech. Univ. Delft, Delft, Netherlands
  • fYear
    2012
  • fDate
    25-30 March 2012
  • Firstpage
    3005
  • Lastpage
    3008
  • Abstract
    The paper develops a new technique to reduce the peak to average power ratio (PAPR) in OFDM modulation for a MIMO system. The proposed method exploits the eigen-beamforming mode (EM) in MIMO systems which is a common feature in 4th generation standards: WiMAX and LTE. These systems use the same beamforming weights for dedicated pilots and data so the weights are interpreted as a channel effect from the receiver perspective. There is no need to invert the weights at the receiver side since it is compensated for in channel equalization. Beamforming performance depends on the relative phase difference between antennas but is unaffected by a phase shift common to all antennas. In contrast, PAPR changes with the common phase shift. An effective optimization technique based on Sequential Quadratic Programming is proposed to compute the common phase shifts that minimize the PAPR.
  • Keywords
    4G mobile communication; Long Term Evolution; MIMO communication; OFDM modulation; WiMax; antennas; frequency division multiple access; quadratic programming; radio receivers; telecommunication standards; 4th generation standards; LTE; MIMO OFDM/A systems; WiMAX; antennas; channel equalization; eigen-beamforming mode; peak-to-average-power-ratio reduction; precoding technique; sequential quadratic programming; Array signal processing; MIMO; Optimization; Peak to average power ratio; Transmitting antennas; Beamforming; Multiple Input Multiple Output (MIMO); Optimization; Orthogonal Frequency Division Multiplexing (OFDM); WiMAX;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
  • Conference_Location
    Kyoto
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4673-0045-2
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2012.6288547
  • Filename
    6288547