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A UWB WBAN channel model based on a pseudo-dynamic measurement

  • Attaphongse TaparugssanagornEmail author
  • Bin Zhen
  • Raffaello Tesi
  • Matti Hämäläinen
  • Jari Iinatti
  • Ryuji Kohno
Article

Abstract

In this paper, we expand the knowledge of the ultra-wideband (UWB) channel in the frequency range of 3.1–10 GHz in close proximity of a human body. The channels under dynamic conditions due to the effect of body motions are studied through the pseudo-dynamic measurement method. Firstly, the first-order statistics of the channels, namely, amplitude distributions are investigated. Secondly, the dynamic features of the channels are also studied through the second-order statistics of the channels, namely, the good and bad channel durations as well as the LCR, which are important for a cross-layer design. Three strongest peaks capturing most of the energy of the channel are taken into account. Finally, a two-state alternating Weibull renewal process model is proposed. The model provides good usability with low complexity and can then be used to better design communication network protocols for WBANs. In addition, for the sake of designing a non-coherent receiver, the dynamic delay spread of the channel, which determines an energy collector detecting the signal energy over a time window, is investigated.

Keywords

Body-centric wireless communications Medical wireless sensors Renewal process Hidden–Markov model 

Notes

Acknowledgement

The authors would like to thank Oulu University Hospital for providing us the place for the measurement campaign.

References

  1. 1.
    Ng HS, Sim ML, Tan CM, Wong CC (2006) Wireless technologies for telemedicine. BT Technol J 24(2):130–137CrossRefGoogle Scholar
  2. 2.
    Coronel P, Schott W, Schwieger K, Zimmermann E, Zasowski T, Maass H, Oppermann I, Ran M, Chevillat P (2004) Wireless body area and sensor networks. In: Proc. wireless world research forum (WWRF) briefingsGoogle Scholar
  3. 3.
    Cramer RJ, Scholtz RA, Win MZ (2002) An evaluation of the ultra-wideband propagation channel. IEEE Trans Antennas Propag 50(5):561–570CrossRefGoogle Scholar
  4. 4.
    Gezici S, Sahinoglu Z (2007) Theoretical limits for estimation of vital signal parameters using impulse radio UWB. IEEE Communications Society subject matter experts for publication in the ICC 2007 proceedingsGoogle Scholar
  5. 5.
    Ghassemzadeh SS, Tarokh V (2002) The ultra-wideband indoor path loss model. Tech. Rep. P802.15 02/277r1SG3a, AT&T Labs, (IEEE P802.15 SG3a contribution). Florham Park, NJ, USAGoogle Scholar
  6. 6.
    Molisch A et al (2006) A comprehensive standardized model for ultrawideband propagation channels. IEEE Trans Antennas Propag 54(11):639–643CrossRefGoogle Scholar
  7. 7.
    Klemm M, Troester G (2006) EM energy absorption in the human body tissues due to UWB antennas. In: Electromagnetics Research, vol 62. PIER, pp. 261–280Google Scholar
  8. 8.
    Fort A, Desset C, Ryckaert J, De Doncker P, Van Biesen L, Wambacq P (2006) Characterization of the ultra wideband body area propagation channel. In: Proc. international conference ICU, pp. 22–27Google Scholar
  9. 9.
    Yazdandoost KY (2008) Channel model for body area networks (BAN). IEEE 802.15-08-033-09Google Scholar
  10. 10.
    Alomainy A, Hao Y, Yuan Y, Liu Y (2006) Modelling and characterisation of radio propagation from wireless implants at different frequencies. In: Proc. European conference on wireless technologyGoogle Scholar
  11. 11.
    Alomainy A, Hao Y, Owadally A, Parini CG, Nechayev Y, Constantinou CC, Hall PS (2007) Statistical analysis and performance evaluation for on-body radio propagation with microstrip patch antennas. IEEE Trans Antennas Propag 55(1):245–Ű248CrossRefGoogle Scholar
  12. 12.
    Cotton SL, Conway GA, Scanlon WG (2009) A time-domain approach to the analysis and modeling of on-body propagation characteristics using synchronized measurements at 2.45 GHz. IEEE Trans Antennas Propag (Special Issue on Antennas and Propagation on Body-Centric Wireless Communications) 57(4):943–955Google Scholar
  13. 13.
    Batchelor JC, Swaisaenyakorn S, Miller JA (2009) Personal and body area network channels between dual band button antennas. In: Proc. Asia-Pacific microwave conference (APMC)Google Scholar
  14. 14.
    Zasowski T, Althaus F, Stäger M, Wittneben A, Tröster G (2003) UWB for noninvasive wireless body area networks: channel measurements and results. In: Proc. IEEE conference on ultra wideband systems and technologies (UWBST). pp. 285–289Google Scholar
  15. 15.
    Taparugssanagorn A, Pomalaza-Ráez C, Isola A, Tesi R, Hämäläinen M, Iinatti J (2009) UWB channel modelling for wireless body area networks in medical applications. In: Proc. international symposium on medical information and communication technology (ISMICT)Google Scholar
  16. 16.
    Miniutti D et al (2008) Dynamic narrowband channel measurements around 2.4 GHz for body area networks. IEEE P802.15-08-0033-00-0006Google Scholar
  17. 17.
    Taparugssanagorn A, Pomalaza-Ráez C, Tesi R, Hämäläinen M, Iinatti J (2009) Effect of body motion and the type of antenna on the measured uwb channel characteristics in medical applications of wireless body area networks. In: Proc. IEEE international conference on ultra-wideband (ICUWB)Google Scholar
  18. 18.
    Alomainy A, Abbasi QH, Sani A, Hao Y (2009) System-level modelling of optimal ultra wideband body-centric wireless network. In: Proc. Asia-Pacific microwave conference (APMC)Google Scholar
  19. 19.
    Zhen B, Kim M, Takada JI, Kohno R (2009) Characterization and modeling of dynamic on-body propagation. In: Proc. ICST conference on pervasive computing technologies for healthcare. p. 6Google Scholar
  20. 20.
    Schuster UG, Bölcskei H, Durisi G (2005) Ultra-wideband channel modeling on the basis of information-theoretic criteria. In: Proc. int. symp. information theory (ISIT). pp. 97–101Google Scholar
  21. 21.
    Jun C-H, Lee S-H (2006) Variables sampling plans for Weibull distributed lifetimes under sudden death testing. IEEE Trans Reliab 55(1):53–58.CrossRefGoogle Scholar

Copyright information

© Institut Télécom and Springer-Verlag 2010

Authors and Affiliations

  • Attaphongse Taparugssanagorn
    • 1
    • 2
    Email author
  • Bin Zhen
    • 3
  • Raffaello Tesi
    • 1
  • Matti Hämäläinen
    • 1
  • Jari Iinatti
    • 1
  • Ryuji Kohno
    • 1
    • 2
    • 3
  1. 1.Centre for Wireless CommunicationsUniversity of OuluOuluFinland
  2. 2.Center of Medical Information & Communication TechnologyYokohama National UniversityYokohamaJapan
  3. 3.National Institute of Information and Communications Technology (NICT)YokosukaJapan

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