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Analysis on Co-channel Interference of Human Body Communication Supporting IEEE 802.15.6 BAN Standard

  • Hwang, Jung-Hwan (Broadcasting & Telecommunications Media Research Laboratory, ETRI, and the Department of Electrical Engineering, KAIST) ;
  • Kang, Tae-Wook (SW & Contents Research Laboratory, ETRI) ;
  • Kim, Youn-Tae (Department of IT Fusion Technology, Chosun University) ;
  • Park, Seong-Ook (Department of Electrical Engineering, KAIST)
  • Received : 2014.08.27
  • Accepted : 2015.01.17
  • Published : 2015.05.01

Abstract

Human body communication (HBC) is being recognized as a new communication technology for mobile and wearable devices in a body area network (BAN). This paper presents co-channel interference experienced by HBC supporting the physical layer in the IEEE 802.15.6 BAN standard. To analyze the co-channel interference, a co-channel interference model is introduced, and space-domain and time-domain parameters representing an interference environment are generated using the co-channel interference model. A new signal-to-interference ratio (SIR) parameter depending on the peak amplitudes of the data signals causing co-channel interference is defined; co-channel interference can be easily analyzed and modelled using the newly defined SIR. The BER degradation model derived using the co-channel interference model and SIR in this paper can be effectively used to estimate the performance.

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. N. Cho et al., "A 60 kb/s-10 Mb/s Adaptive Frequency Hopping Transceiver for Interference-Resilient Body Channel Communication," IEEE J. Solid-State Circuits, vol. 44, no. 3, Mar. 2009, pp. 708-717. https://doi.org/10.1109/JSSC.2008.2012328
  3. H.-I. Park et al., "Human Body Communication System with FSBT," IEEE Int. Symp. Consum. Electron., Brauschweig, Germany, June 7-10, 2010, pp. 1-5.
  4. T.-W. Chen et al., "A 0.67 mW 14.55 Mbps OFDM-Based Sensor Node Transmitter for Body Channel Communications," IEEE Asian Solid-State Circuits Conf., Jeju, Rep. of Korea, Nov. 14-16, 2011, pp. 189-192.
  5. 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
  6. P.-Y. Tsai et al., "A QPSK/16-QAM OFDM-Based 29.1 Mbps LINC Transmitter for Body Channel Communication," IEEE Asian Solid-State Circuits Conf., Kobe, Japan, Nov. 12-14, 2012, pp. 345-348.
  7. C.K. Ho et al., "High Bandwidth Efficiency and Low Power Consumption Walsh Code Implementation Methods for Body Channel Communications," IEEE Trans. Microw. Theory Techn., vol. 62, no. 9, Sept. 2014, pp. 1867-1878. https://doi.org/10.1109/TMTT.2014.2342661
  8. IntroMedic, MicroCam Features, 2015. Accessed Jan. 28, 2015. http://intromedic.com/eng/sub_products_2.html
  9. IEEE Std. 802.15.6, IEEE Standard for Local and Metropolitan Area Networks - Part 15.6: Wireless Body Area Networks, IEEE, Piscataway, NJ, USA, 2012.
  10. IFAC-CNR, Dielectric Properties of Body Tissues, 1997. Accessed Jan. 28, 2015. http://niremf.ifac.cnr.it/tissprop
  11. J.-H. Hwang et al., "Receptive Properties of the Human Body of Emitted Electromagnetic Waves for Energy Harvesting," IEEE Antennas Propag. Soc. Int. Symp., Chicago, IL, USA, July 8-14, 2012, pp. 1-2.
  12. 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
  13. J.-H. Hwang et al., "Analysis of Signal Interference in Human Body Communication Using Human Body as Transmission Medium," IEEE Antennas Propag. Soc. Int. Symp., Albuquerque, NM, USA, July 9-14, 2006, pp. 495-498.
  14. N. Cho et al., "The Human Body Characteristics as a Signal Transmission Medium for Intra-body Communication," IEEE Trans. Microw. Theory Tech., vol. 55, no. 5, May 2007, pp. 1080-1086. https://doi.org/10.1109/TMTT.2007.895640
  15. T.W. Kang et al., "A Complexity-Efficiency Human Body Communications," IEEE Asia-Pacific Conf. Commun., Denpasaar, Indonesia, Aug. 29-31, 2013, pp. 445-446.
  16. D.P. Lindsey et al., "A New Technique for Transmission of Signals from Implantable Transducers," IEEE Trans. Biomed. Eng., vol. 45, no. 5, May 1998, pp. 614-619. https://doi.org/10.1109/10.668752
  17. M. Sun et al., "Data Communication between Brain Implants and Computer," IEEE Trans. Neural Syst. Rehabil. Eng., vol. 11, no. 2, June 2003, pp. 189-192. https://doi.org/10.1109/TNSRE.2003.814421

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