Journal of electromagnetic engineering and science

The Korean Institute of Electromagnetic Engineering and Science (한국전자파학회)
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An Interference Analysis Method with Site-Specific Path Loss Model for Wireless Personal Area Network

  • Received : 2010.10.01
  • Published : 2010.12.31
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Abstract

In this paper, an interference analysis method with a site-specific path loss model for a wireless personal area network (WPAN) is proposed. The site-specific path loss model is based on geometrical optics and geometric probability to consider both site-specific radio propagation characteristics and a closed-form expression to obtain the mean interference from which the uniformly distributed multiple interferers are derived. Therefore, the proposed interference analysis method can achieve more computational simplicity than the Monte-Carlo (MC) simulation, which uses the ray-tracing (RT) technique. In addition, better accuracy than the conventional interference analysis model that uses stochastic method can also be achieved. To evaluate the proposed method, a signal to the interference-noise ratio with a mean interference concept for uniformly distributed interferers is calculated and compared in two simulation scenarios. As a result, the proposed method produces not only better matched results with the MC simulation using the RT technique than the conventional interference analysis model, but also simpler and faster calculation, which is due to the site-specific path loss model and closed-form expression for interference calculation.

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References

  1. J. Karaoguz, "High-rate wireless personal area networks," IEEE Commun. Mag., vol. 39, no. 12, pp. 96-102, Dec. 2001. https://doi.org/10.1109/35.968818
  2. D. Landi, C. Fischer, "The effects of UWB interference on GSM systems," in Proc. of Int. Zurich Seminar, pp. 86-89, Feb. 2004.
  3. "Study of interference effects of a UWB mass deployment on GSM systems," ITU Document, 1-8/9- E, Oct. 2003.
  4. "UWB interference with Bluetooth," ITU Document 1-8/11-E, Oct. 2003.
  5. "A comparison of the minimum coupling loss method, enhanced minimum coupling loss method, and the monte-carlo simulation," ERC Report 101, May 1999.
  6. "Monte-Carlo simulation methodology for the use in sharing and compatibility studies between different radio service or system," ERC Report 68, Jun. 2002.
  7. M. Hassan-Ali, K. Pahlavan, "A new statistical model for site-specific indoor radio propagation prediction based on geometric optics and geometric probability," IEEE Trans. Wireless Commun., vol. 1, no. 1, pp. 112-124, Jan. 2002. https://doi.org/10.1109/7693.975450
  8. H. Bertoni, W. Honcharenko, L. R. Maciel, and H. Xia, "UHF propagation prediction for wireless personal communications," Proc. IEEE, vol. 82, pp. 1333- 1359, Sep. 1994. https://doi.org/10.1109/5.317081
  9. M. Hassan-Ali, "Using ray-tracing techniques in sitespecific statistical modeling of indoor radio channels," Ph. D. dissertation, Worcester Polytechnic Institute, Worcester, MA, 1998.
  10. A. Svenshnikov, Probelms in Probability Theory, Mathematical Statistics and Theory of Random Functions, New York: Dover, 1968.
  11. R. Valenzuela, O. Landron, and D. Jacob, "Estimating local mean signal strength of indoor multipath propagation," IEEE Trans. Veh. Technol., vol. 46, pp. 203-212, Feb. 1997. https://doi.org/10.1109/25.554753
  12. L. Santalo, Integral Geometry and Geometric Probability. Reading, MA: Addison-Wesly, 1976
  13. A. F. Molisch et al., "A comprehensive standardized model for ultrawideband propagation channels," IEEE TRans. Antennas Propag., vol. 54, no. 11, pp. 3151-3166, Nov. 2006. https://doi.org/10.1109/TAP.2006.883983
  14. S. Fortune, "A beam-tracing algorithm for prediction of inddo radio propagation," in Porc. First ACM Workshop on Applied Computational Geometry, pp. 76-81, 1996.