Skip to main content
Log in

Local Tuning of a Site-Specific Propagation Path Loss Model for Microcell Environments

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

New local and semi-global tuning methods for a 3D site-specific propagation path loss model based on the uniform theory of diffraction are proposed in this paper. The purpose of the tuning methods is to efficiently incorporate measured data in the prediction process to enhance the accuracy of the path loss model in microcell environments. The performance of the proposed tuning procedures is compared with a third method that corresponds to a global tuning approach based on the least squares error technique. Our results show that the local tuning procedure outperforms any of the other tuning methods, by providing a significant reduction of the mean absolute error, up to 35 % in error reduction was observed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  1. Okumura, Y., et al. (1968). Field strength variability in VHF and UHF land mobile service. Review of the Electrical Communication Laboratory, 16(9–10), 825–873.

    Google Scholar 

  2. Lustgarten, M. N., & Madison, J. A. (1977). An empirical propagation model (EPM-73). IEEE Transactions on Electromagnetic Compatibility, EMC–19(3), 301–309.

    Article  Google Scholar 

  3. Hata, M. (1980). Empirical formula for propagation loss in land mobile radio services. IEEE Transactions on Vehicular Technology, 29, 317–325.

    Article  Google Scholar 

  4. Schaubach, K. R., & Davis, N. J. (1994). Microcellular radio-channel propagation prediction. IEEE Antennas and Propagation Magazine, 36(4), 25–34.

    Article  Google Scholar 

  5. Jensen, F., et al. (1996). GTD ray tracing by mapping. In Antennas and Propagation Society International Symposium (Vol. 2, pp. 780–783).

  6. Tan, S. Y., & Tan, H. S. (1996). A microcellular communications propagation model based on the uniform theory of diffraction and multiple image theory. IEEE Transactions on Wireless Communications, 44(10), 1317–1326.

    Google Scholar 

  7. Heiska, K., & Kangas, A. (1996). Microcell propagation model for network planning. Personal, Indoor and Mobile Radio Communications. In 7th IEEE International Symposium Personal, Indoor, and Mobile Communications.

  8. Knorzer, S., et al. (2007). Ray-tracing for mobile communications. In Microwave Systems and Navigation: Conference on Wave Propagation in Communication.

  9. Yang, M., et al. (2011). Hybrid ray-tracing model for radio wave propagation through periodic building structures. IET Microwaves, Antennas & Propagation, 5(3), 340–348.

    Article  Google Scholar 

  10. Yong-Sheng, F., et al. (2012). Efficient ray-tracing model for propagation prediction for microcellular wireless communication systems. In 10th International Symposium on Antennas, Propagation & EM Theory (pp. 432–435).

  11. Young-Keun, Y., et al. (2012). Intelligent ray tracing for the propagation prediction. In IEEE Antennas and Propagation Society (pp. 1–2).

  12. Puggelli, F., Carluccio, G., & Albani, M. (2014). A novel ray tracing algorithm for scenarios comprising pre-ordered multiple planar reflectors, straight wedges, and vertexes. IEEE Transactions on Antennas and Propagation, 62(8), 4336–4341.

    Article  MathSciNet  Google Scholar 

  13. Peng, W., et al. (2012). A fast ray-tracing algorithm for microcellular propagation prediction models. In 10th International Symposium on Antennas, Propagation & EM Theory (pp. 436–439).

  14. Noe, N., et al. (2013). Estimating and reducing uncertainties in ray-tracing techniques for electromagnetic field exposure in urban areas. In 2013 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (pp. 652–655).

  15. Navarro, A., et al. (2012). Measurement-based ray-tracing models calibration in urban environments. In International Symposium on Antennas and Propagation Society.

  16. Jaouhar, J., & Thomas, K. (2009). Towards a performance boundary in calibrating indoor ray tracing models. EURASIP Journal on Wireless Communications and Networking, 1, 532474.

  17. Hanci, B. Y., & Cavdar, I. H. (2004). Mobile radio propagation measurements and tuning the path loss model in urban areas at GSM-900 band in Istanbul-Turkey. 60th IEEE Vehicular Technology Conference (Vol. 1, pp. 139–143).

  18. Llacer, J., et al. (1999). Application of some theoretical models for coverage prediction in macrocell urban environments. IEEE Transactions on Vehicular Technology, 48(5), 1463–1468.

    Article  Google Scholar 

  19. Salieto, A., et al. (2010). Radio propagation models for DVB-H networks. In Proceedings of 4th European Conference on Antennas and Propagation (pp. 1–5).

  20. Klozar, L., & Prokopec, J. (2011). Propagation path loss models for mobile communication. In International Conference Radioelektronika (pp. 1–4).

  21. Tahat, A., & Taha, M. (2012). Statistical tuning of Walfisch-Ikegami propagation model using Particle Swarm Optimization. In 19th IEEE Symposium on Communications and Vehicular Technology (pp. 1–6).

  22. Ambawade, D., et al. (2010). Statistical tuning of Walfisch-Ikegami model in urban and suburban environments. In Proceedings of 4th Asia International Conference on Mathematical /Analytical Modelling and Computer Simulation (pp. 538–543).

  23. Rozal, E., & Pelas, E. (2007). Statistical adjustment of Walfisch-Ikegami model based in urban propagation measurements. In Proceedings of SBMO/IEEE MTT-S International Conference on Microwave and Optoelectronics (pp. 584–588).

  24. Subrt, L., & Pechac, P. (2011). Advanced 3D indoor propagation model: Calibration and implementation. EURASIP Journal on Wireless Communications and Networking, 2011(1), 1–10.

    Article  Google Scholar 

  25. Castro-Hernandez, D., & Paranjape, R. (2013). Estimation of coverage areas in microcells. In IEEE International Conference on Advanced Networks and Telecommunications Systems, India.

  26. Mohtashami, V., & Shishegar, A. A. (2013). Effects of inaccuracy of material permittivities on ray tracing results for site- specific indoor propagation modeling. In IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (pp. 1172–1175).

  27. Kouyoumjian, R. G., & Pathak, P. H. (1974). A Uniform geometrical theory of diffraction for an edge in a perfectly conducting surface. Proceedings of the IEEE, 62, 1448–1461.

    Article  Google Scholar 

  28. Tzaras, C., & Saunders, R. (2001). An improved heuristic UTD solution for multiple-edge transition zone diffraction. IEEE Transactions on Antennas and Propagation, 49(12), 1678–1682.

    Article  Google Scholar 

  29. Tabakcioglu, M. B., & Kara, A. (2007). On the Improvements in Multiple Edge Transition Zone Diffraction. In European Conference on Antennas and Propagation (pp. 1–5).

  30. Rizk, K., Valenzuela, R., Chizhik, D., & Gardiol, F. (1998). Application of the slope diffraction method for urban microwave propagation prediction. In IEEE Vehicular Technology Conference (Vol. 2, pp. 1150–1155).

  31. Rappaport, T. S. (2001). Wireless communications: principles and practice (2nd ed.). New Jersey: Prentice Hall.

    MATH  Google Scholar 

  32. Benzair, K. (1995). Measurements and modelling of propagation losses through vegetation at 1–4 GHz. In 9th International Conference on Antennas and Propagation (Vol. 2, pp. 54–59).

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Raman Paranjape.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Castro-Hernandez, D., Paranjape, R. Local Tuning of a Site-Specific Propagation Path Loss Model for Microcell Environments. Wireless Pers Commun 91, 709–728 (2016). https://doi.org/10.1007/s11277-016-3489-0

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-016-3489-0

Keywords

Navigation