• DocumentCode
    76809
  • Title

    On Coding and Beamforming for Large Antenna Arrays in mm-Wave Systems

  • Author

    Jinho Choi

  • Author_Institution
    Sch. of Inf. & Commun., GIST, Gwangju, South Korea
  • Volume
    3
  • Issue
    2
  • fYear
    2014
  • fDate
    Apr-14
  • Firstpage
    193
  • Lastpage
    196
  • Abstract
    Due to the spectrum shortage and demand for much higher data rates, millimeter (mm)-wave communications have received growing attention for cellular communication systems with beamforming that can overcome the severe propagation loss. For a highly correlated channel where the line-of-sight (LoS) exists with strong non-LoS (NLoS) components, which would be a typical case for mm-wave channels, we generalize a diversity eigenbeamforming method in this paper. For performance comparisons, the statistical eigenvector beamforming method, which is effective when the LoS exists, is considered as both the diversity eigenbeamforming and statistical eigenvector beamforming methods require statistical properties of channels. It is shown that the diversity eigenbeamforming methods outperforms the statistical eigenvector beamforming method when the NLoS component dominates.
  • Keywords
    array signal processing; cellular radio; eigenvalues and eigenfunctions; encoding; millimetre wave antenna arrays; statistical analysis; wireless channels; NLoS component; cellular communication systems; coding; correlated channel; eigenbeamforming method; large antenna arrays; line-of-sight; millimeter-wave communications; mm-wave systems; propagation loss; statistical eigenvector beamforming method; strong nonLoS components; Antenna arrays; Array signal processing; Diversity methods; Optimization; Signal to noise ratio; Vectors; Wireless communication; beamforming; coding; large antenna arrays; millimeter wave;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    2162-2337
  • Type

    jour

  • DOI
    10.1109/WCL.2014.012014.130827
  • Filename
    6725567