DOI QR코드

DOI QR Code

Highly Simplified and Bandwidth-Efficient Human Body Communications Based on IEEE 802.15.6 WBAN Standard

  • Kang, Tae-Wook (ICT Materials & Components Research Laboratory, ETRI) ;
  • Hwang, Jung-Hwan (Broadcastings & Medias Research Laboratory, ETRI) ;
  • Kim, Sung-Eun (ICT Materials & Components Research Laboratory, ETRI) ;
  • Oh, Kwang-Il (ICT Materials & Components Research Laboratory, ETRI) ;
  • Park, Hyung-Il (ICT Materials & Components Research Laboratory, ETRI) ;
  • Lim, In-Gi (ICT Materials & Components Research Laboratory, ETRI) ;
  • Kang, Sung-Weon (ICT Materials & Components Research Laboratory, ETRI)
  • Received : 2016.03.04
  • Accepted : 2016.07.25
  • Published : 2016.12.01

Abstract

This paper presents a transmission method for improving human body communications in terms of spectral efficiency, and the performances of bit-error-rate (BER) and frame synchronization, with a highly simplified structure. Compared to the conventional frequency selective digital transmission supporting IEEE standard 802.15.6 for wireless body area networks, the proposed scheme improves the spectral efficiency from 0.25 bps/Hz to 1 bps/Hz based on the 3-dB bandwidth of the transmit spectral mask, and the signal-to-noise-ratio (SNR) by 0.51 dB at a BER of $10^{-6}$ with an 87.5% reduction in the detection complexity of the length of the Hamming distance computation. The proposed preamble structure using its customized detection algorithm achieves perfect frame synchronization at the SNR of a BER of $10^{-6}$ by applying the proposed pre-processing to compensate for the distortions on the preamble signals due to the band-limit effects by transmit and receive filters.

Keywords

References

  1. T.G. Zimmerman, "Personal Area Networks: Near-field Intrabody Communication," IBM Syst. J., vol. 35, no. 3.4, 1996, pp. 609-617. https://doi.org/10.1147/sj.353.0609
  2. T.G. Zimmerman et al., "Applying Electric Field Sensing to Human-Computer-Interfaces," Proc. SIGCI Conf. Human Factors Comput. Syst., Denver, CO, USA, 1995, pp. 280-287.
  3. S. Movassaghi et al., "Wireless Body Area Networks: a Survey," IEEE Commun. Surveys Tuts., vol. 16, no. 3, 2014, pp. 1658-1686. https://doi.org/10.1109/SURV.2013.121313.00064
  4. C.H. Hyoung et al., "A Novel System for Intrabody Communications: Touch-and-Play," IEEE Int. Symp. Circuit Syst., Kos, Greece, May 21-24, 2006, pp. 1343-1346.
  5. IEEE Standard for Llocal and Metropolitan Area Networks-Part 15.6: Wireless Body Area Networks, IEEE 802.15 working group for WPAN, 2012.
  6. C.H. Hyoung et al., "A Feasibility Study on the Adoption of Human Body Communication for Medical Service," IEEE Trans. Circuits Syst. II: Exp. Briefs, vol. 62, no. 2, 2015, pp. 169-173. https://doi.org/10.1109/TCSII.2014.2387631
  7. T.W. Kang et al., "A Method of Increasing Data Rate for Human Body Communication System for Body Area Network Applications," IEEE Veh. Technol. Conf., Quebec, Canada, Sept. 3-6, 2012, pp. 1-5.
  8. T.W. Kang et al., "Improving Data Rate in the Human Body Communications," Int. Conf. Inform. Commun. Technol. Convergence, Busan, Rep. of Korea, Oct. 2014, pp. 51-52.
  9. C.K. Ho et al., "High Bandwidth Efficiency and Low Power Consumption Walsh Code Implementation Methods for Body Channel Communication," IEEE Trans. Microw. Theory Techn., vol. 62, no. 9, Sept. 2014, pp. 1867-1878. https://doi.org/10.1109/TMTT.2014.2342661
  10. C.H. Hyoung et al., "Transceiver for Human Body Communication Using Frequency Selective Digital Transmission," ETRI J., vol. 34, no. 2, Apr. 2012, pp. 216-225. https://doi.org/10.4218/etrij.12.0111.0178
  11. J.G. Proakis, Digital Communications, New York, USA: McGraw Hill, 2001.
  12. IEEE 802.15-10-0318-00-0006, Supplemental Information for HBC, May 2010.
  13. M.H. Seyedi et al., "A Survey on Intrabody Communications for Body Area Network Applications," IEEE Trans. Biomed. Eng., vol. 60, no. 8, Aug. 2013, pp. 2067-2079. https://doi.org/10.1109/TBME.2013.2254714
  14. M.A. Callejon et al., "A Comprehensive Study Into Intrabody Communication Measurements," IEEE Trans. Instrum. Meas., vol. 62, no. 9, Sept. 2013, pp. 2446-2455. https://doi.org/10.1109/TIM.2013.2258766
  15. IEEE P802.15-08-0780-12-0006, Channel Model for Body Area Network (BAN), Nov. 2010.
  16. J.H. Hwang et al., "Empirical Channel Model for Human Body Communication," IEEE Antennas Wireless Propag. Lett., vol. 14, 2015, pp. 694-697. https://doi.org/10.1109/LAWP.2014.2377051
  17. J.H. Hwang et al., "Measurement of Transmission Properties of HBC Channel and Its Impulse Response Model," IEEE Trans. Instrum. Meas, vol. 65, no. 1, Jan. 2016, pp. 177-188. https://doi.org/10.1109/TIM.2015.2476236
  18. J.H. Hwang et al., "Analysis on Co-channel Interference of Human Body Communication Supporting IEEE 802.15.6 BAN Standard," ETRI J., vol. 37, no. 3, June 2015, pp. 439-449. https://doi.org/10.4218/etrij.15.0114.1029
  19. J.H. Hwang et al., "Energy Harvesting from Ambient Electromagnetic Wave Using Human Body as Antenna," Electron. Lett., vol. 49, no. 2, Jan. 2013, pp. 149-151. https://doi.org/10.1049/el.2012.3129
  20. H.K. Choi et al., Communication Apparatus and Method Using Pseudo-Random Code, US Patent 13/696,740, filed May. 7, 2010.
  21. V.V. Kulkarni et al., "A Reference-Less Injection-Locked Clock-Recovery Scheme for Multilevel-Signaling-based Wideband BCC Receivers," IEEE Trans. Microw. Theory Techn., vol. 62, no. 9, Sept. 2014, pp.1856-1866. https://doi.org/10.1109/TMTT.2014.2342654

Cited by

  1. Measurement and Analysis of Electric Signal Transmission Using Human Body as Medium for WBAN Applications vol.67, pp.3, 2016, https://doi.org/10.1109/tim.2017.2783059