• DocumentCode
    125944
  • Title

    Indoor off-body communications at 5.8 GHz with multiple antennas at the base station: A statistical characterization using the Nakagami-m fading model

  • Author

    SeongKi Yoo ; Cotton, Simon

  • Author_Institution
    Inst. of Electron., Queen´s Univ. Belfast, Belfast, UK
  • fYear
    2014
  • fDate
    16-23 Aug. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper we investigate the first and second order characteristics of the received signal at the output of hypothetical selection, equal gain and maximal ratio combiners which utilize spatially separated antennas at the base station. Considering a range of human body movements, we model the model the small-scale fading characteristics of the signal using diversity specific analytical equations which take into account the number of available signal branches at the receiver. It is shown that these equations provide an excellent fit to the measured channel data. Furthermore, for many hypothetical diversity receiver configurations, the Nakagami-m parameter was found to be close to 1.
  • Keywords
    Nakagami channels; biomedical communication; diversity reception; indoor radio; microwave antennas; statistical analysis; Nakagami-m fading model; base station; diversity specific analytical equations; equal gain; first order characteristics; frequency 5.8 GHz; human body movements; hypothetical diversity receiver configurations; hypothetical selection; indoor off-body communications; maximal ratio combiners; measured channel data; multiple antennas; received signal; second order characteristics; small-scale fading characteristics; spatially separated antennas; statistical characterization; Base stations; Diversity reception; Equations; Fading; Mathematical model; Receiving antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    General Assembly and Scientific Symposium (URSI GASS), 2014 XXXIth URSI
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/URSIGASS.2014.6929309
  • Filename
    6929309