• DocumentCode
    2176343
  • Title

    De-correlation distance of the large scale parameters in an urban macro cell scenario

  • Author

    Böttcher, Annika ; Vary, Peter ; Schneider, Christian ; Thoma, Reiner S.

  • Author_Institution
    Inst. of Commun. Syst. & Data Process., RWTH Aachen Univ., Aachen, Germany
  • fYear
    2012
  • fDate
    26-30 March 2012
  • Firstpage
    1417
  • Lastpage
    1421
  • Abstract
    The investigation of new channel models plays a fundamental role for designing and evaluating wireless communication systems. Therefore an extensive analysis of channel measurement data is indispensable. Besides the knowledge of the parameters and their distribution functions, the distance where the parameters are getting uncorrelated is of great interest and can be exploited for more realistic channel simulations. In this contribution the de-correlation distance of the large scale parameters (LSP) in the power and delay domain is investigated. Different parameter estimation procedures are applied taking the changing automatic gain control (AGC) level within one MIMO snapshot into account. The AGC level changes strongly depending on the channel environment and due to the spatial filtering of the directional antennas. Additionally, different antenna heights are considered.
  • Keywords
    MIMO communication; automatic gain control; correlation theory; directive antennas; mobile radio; parameter estimation; wireless channels; AGC level; MIMO snapshot; antenna heights; automatic gain control level; channel environment; channel measurement data; channel simulations; decorrelation distance; delay domain; directional antennas; distribution functions; large scale parameters; new channel models; parameter estimation procedures; parameters knowledge; power domain; spatial filtering; urban macro cell scenario; wireless communication systems; Antenna measurements; Antennas; Correlation; Delay; Estimation; Gain control; MIMO; channel sounding; large scale parameter; measurement data; spatial channel modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation (EUCAP), 2012 6th European Conference on
  • Conference_Location
    Prague
  • Print_ISBN
    978-1-4577-0918-0
  • Electronic_ISBN
    978-1-4577-0919-7
  • Type

    conf

  • DOI
    10.1109/EuCAP.2012.6205917
  • Filename
    6205917