• DocumentCode
    2757370
  • Title

    C5. Performance analysis of massive MIMO multiuser transmit beamforming techniques over generalized spatial channel model

  • Author

    El-Khamy, Said E. ; Moussa, Karim H. ; El-Sherif, Amr A.

  • Author_Institution
    Dept. of Electr. Eng., Alexandria Univ., Alexandria, Egypt
  • fYear
    2015
  • fDate
    24-26 March 2015
  • Firstpage
    139
  • Lastpage
    146
  • Abstract
    In this paper, the performance analysis of massive multiple input multiple output (MIMO) multiuser transmit beamforming techniques is studied using a generalized spatial channel model. In particular, heuristic beamforming techniques (such as maximum ratio transmission beamforming technique, zero forcing beamforming technique and regularized zero forcing beamforming technique) as well as optimal beamforming technique are considered. A generalized spatial channel model is used for more practical results in mobile communication system. The spectral efficiency is used in the analysis to describe the performance. Special attention is given to the effect of massive MIMO technique on the performance of different considered beamforming techniques. The numerical results show that with a relatively small number of antennas there is a need for optimal beamforming to achieve higher spectral efficiency. It is also shown that the performance of heuristic beamforming techniques approaches the performance of optimal beamforming techniques when the number of transmitting antennas is highly increased.
  • Keywords
    MIMO communication; array signal processing; multiuser detection; generalized spatial channel model; heuristic beamforming techniques; massive MIMO multiuser transmit beamforming techniques; maximum ratio transmission beamforming technique; mobile communication system; optimal beamforming technique; regularized zero forcing beamforming technique; Interference; Measurement; Beamforming; MIMO; Massive; Multiuser; Optimum; Regularized; Spatial; ZFBF;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radio Science Conference (NRSC), 2015 32nd National
  • Conference_Location
    6th of October City
  • Print_ISBN
    978-1-4799-9945-3
  • Type

    conf

  • DOI
    10.1109/NRSC.2015.7117824
  • Filename
    7117824