• DocumentCode
    1764279
  • Title

    Quantitative Analysis of the Subject-Specific On-Body Propagation Channel Based on Statistically Created Models

  • Author

    Ali, Khaleda ; Brizzi, Alessio ; Su-Lin Lee ; Guang-Zhong Yang ; Alomainy, Akram ; Yang Hao

  • Author_Institution
    Antennas & Electromagn. Res. Group, Queen Mary, Univ. of London, London, UK
  • Volume
    14
  • fYear
    2015
  • fDate
    2015
  • Firstpage
    398
  • Lastpage
    401
  • Abstract
    This letter presents a quantitative approach to the investigation of subject-specific on-body communication channels. To this aim, propagation at 5.8 GHz has been studied considering 50 realistic digital phantoms, statistically generated from a set of 20 magnetic resonance (MR) scans. Both line-of-sight (LoS) and non-line-of-sight (NLoS) communication links have been taken into account. Mathematical expressions are proposed reflecting the correlation between body dimensions (specifically height and waist) and path-loss variation. Results show that linear fitting can be extrapolated between path-loss variations and body shape parameters. In-house parallel finite-difference time-domain (PFDTD) numerical method has been applied to carry out full-wave simulations on the 50 digital phantoms.
  • Keywords
    body area networks; finite difference time-domain analysis; radiowave propagation; telecommunication channels; LoS; NLoS communication links; PFDTD; body shape parameters; digital phantoms; finite-difference time-domain numerical method; line-of-sight; magnetic resonance; nonline-of-sight communication links; path-loss variation; quantitative analysis; statistically created models; subject-specific on-body propagation channel; wireless body area networks; Analytical models; Biological system modeling; Fitting; Numerical models; Phantoms; Receivers; Shape; Finite-difference time-domain (FDTD) technique; path loss; statistical shape models; wireless body area network;
  • fLanguage
    English
  • Journal_Title
    Antennas and Wireless Propagation Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1536-1225
  • Type

    jour

  • DOI
    10.1109/LAWP.2014.2362412
  • Filename
    6918417