Statistical tuning of walfisch-bertoni pathloss prediction model based on building and street geometry sensitivity parameters in built-up terrains

Isabona Joseph; Babalola Michael

doi:doi:10.11648/j.ajpa.20130101.13

| Peer-Reviewed

Statistical tuning of walfisch-bertoni pathloss prediction model based on building and street geometry sensitivity parameters in built-up terrains

Isabona Joseph, Babalola Michael

Published in American Journal of Physics and Applications (Volume 1, Issue 1)

Received: 25 May 2013 Published: 30 June 2013

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

One of the underlying difficulties with the application of a prediction pathloss model for any environment is that no two areas are identical in the composition of the buildings and terrain. A pathloss model developed by Walfisch-Bertoni considers the impact of rooftops and building heights by using diffraction to predict average signal strength loss at street level. However, the error between the average path loss predicted by the model and that observed in practice will be smallest when the propagation environment conforms closely with the models assumptions (i.e. those urban environments exhibiting minimal variation in the height and separation of buildings). In particular, any building height variations can be expected to cause a significant error in the model predictions. Firstly, in this paper, we demonstrate the sensitivity impact of varying certain parameters on the performance W/B model in the study environments. The goal is to give the user an idea of the value associated with altering parameters that are in fact adjustable and showing the significance of the unchangeable parameters in the loss calculations. Secondly, a new statistical tuning method is proposed by extending the technique of Walfisch- Bertoni model which is now valid for generalized conditions in the CDMA2000 signal propagation environments. The results showed that tuned pathloss data agree strongly with measured data in the different study locations.

Published in	American Journal of Physics and Applications (Volume 1, Issue 1)
DOI	10.11648/j.ajpa.20130101.13
Page(s)	10-17
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2013. Published by Science Publishing Group

Keywords

CDMA2000, Statistical Tuning Of Pathloss Model, Sensitivity of Impact Streets and Building Geometry

References

[1]	Cavdrih I. H, "A Statistical Approach to Bertoni-Walfisch Propagation Model for Mobile Radio Design in Urban Areas". IEEE VTC 52 nd, Vol.1, pp. 279-283, 2001.
[2]	"Coverage prediction for mobile radio systems operation in the 800/900MHz Frequency Range". Special issue of IEEE Transactions on Vehicular Technology, 37(1):66-68, 1988. [Online] Available at: http://ieeexplore.ieee.org
[3]	Dongya S, Yihuai Y, and Taijun L, ‘‘Physical-statistical Propagation Model on the Land Mobile Communications’’, Proceedings of 2005 Asia-Pacific Microwave Conference, vol.4, pp.2349-22352, Dec. 2005, Suzhou, China, IEEE Press.
[4]	Yang Y, and Dongya. S and Taijun L,’’Physical-statistical Propagation Model on the Land Mobile Communications’’,Journal of Yunnan University, 2006, 9.
[5]	Gong K.,and Xu R. "Modeling of 3D In-Building Propagation Effects by Ray Tracing Technique". IEEE AP-S, 6, 1995.
[6]	C. Chrysanthou. and H. L. Bertoni, "Variability of Sector averaged Signals for UHF Propagation in Cities", IEEE Transaction Vehicular Technology, vol. 39. No. 4, pp. 352-358, November, 1990.
[7]	H. Chung and H. L. Bertoni, "Range-dependent path-loss model in residential areas for the VHF and UHF bands", IEEE Transactions, Antennas and propagation, vol. 50, pp. 1–11, January, 1993.
[8]	S. Saunders, and F. Bonar, "Mobile radio propagation in built-up areas: A numerical model of slow fading," in IEEE Vehicular Technology Symposium, pp. 295–300, May, 1991.
[9]	L. Piazzi. and H.L Bertoni, "Effect of Terrain on Pathloss in Urban Environments for Wireless Applications", IEEE Transaction on Antennas and Propagation, Vol. 46, No. 8, pp.1138-1147, August, 1998.
[10]	L. Meiling, L. Nikolai, V. Guillaume, and Guillaume D. l. R "On Predicting Large Scale Fading Characteristics with the MR-FDPF Method, 6th European Conference on Antennas and Propagation (EECAP) Prague: Czech Republic, March, 2012.
[11]	S. Kolyaie, M. Yaghooti, and G. Majidi, "Analysis and Simulation of Wireless Signal Propagation Applying Egotistical Techniques, Archives of Photogrammetry", Cartography and Remote Sensing, Vol. 22, pp. 261-270, 2011.
[12]	F.D. Alotaibi. and A.A, "TETRA Outdoor Large- Scale Received Signal Prediction Model in Riyadh City-Saudi Arabia", IEEE Wireless and Microwave Technology Conference (WAMICON), USA, pp. 4-5, Dec. 2006.
[13]	T.E. Dalkilic¸ B.Y.S. Hanci, and A.S. Apatdin, "Fuzzy adaptive neural network approach to tune path loss prediction accuracy of W/B in Urban areas at GSM-900 band", Turkish Journal of Electrical Engineering and Computer Science, Vol.18, No.6, pp 1077-1094, 2010.
[14]	Y.B Hanci, and I.H. Cavdar, "Mobile Radio Propagation Measurements and Tuning the Path Loss Model in Urban Areas at GSM-900 Band in Istanbul-Turkey", IEEE Vehicular Technology Conference (VTC2004), Vol.1, September, 139 – 143, 2004.
[15]	Pathak, R and Katiyar, M ‘‘ Performance and Sensitivity of pathloss Models for WiMAX Signals’’ Conference on Advances in Communication and Control Systems 2013(CASC25S 2013)
[16]	Recommendation M.1455 "Key characteristics for the international mobile telecommunications 2000 (IMT-2000) Radio Interface", 2000.
[17]	Recommendation M.1225 "Guidelines for evaluation of radio transmission technologies for IMT-2000", 2000.
[18]	J. Walfisch and H.L. Bertoni. "Theoretical Model of UHF Propagation in Urban Environments", IEEE Transaction on Antenna and Propagation, vol. 36, pp.1788-1796, December, 1998.
[19]	Bertoni H.L., Radio Propagation for Modern Wireless Systems, Prentice-Hall PTR, Upper Saddle River, NJ, 2000.
[20]	S. A. Toricco, and H.L Bertoni, "Predicting the Radio Channel for Third-Generation Systems", White paper, COM search Bulletin TP-100328-EN (04/05), pp.1-12, 2005.

Cite This Article

Plain Text BibTeX RIS

APA Style

Isabona Joseph, Babalola Michael. (2013). Statistical tuning of walfisch-bertoni pathloss prediction model based on building and street geometry sensitivity parameters in built-up terrains. American Journal of Physics and Applications, 1(1), 10-17. https://doi.org/10.11648/j.ajpa.20130101.13

Copy | Download

ACS Style

Isabona Joseph; Babalola Michael. Statistical tuning of walfisch-bertoni pathloss prediction model based on building and street geometry sensitivity parameters in built-up terrains. Am. J. Phys. Appl. 2013, 1(1), 10-17. doi: 10.11648/j.ajpa.20130101.13

Copy | Download

AMA Style

Isabona Joseph, Babalola Michael. Statistical tuning of walfisch-bertoni pathloss prediction model based on building and street geometry sensitivity parameters in built-up terrains. Am J Phys Appl. 2013;1(1):10-17. doi: 10.11648/j.ajpa.20130101.13

Copy | Download

@article{10.11648/j.ajpa.20130101.13,
  author = {Isabona Joseph and Babalola Michael},
  title = {Statistical tuning of walfisch-bertoni pathloss prediction model based on building and street geometry sensitivity parameters in built-up terrains},
  journal = {American Journal of Physics and Applications},
  volume = {1},
  number = {1},
  pages = {10-17},
  doi = {10.11648/j.ajpa.20130101.13},
  url = {https://doi.org/10.11648/j.ajpa.20130101.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajpa.20130101.13},
  abstract = {One of the underlying difficulties with the application of a prediction pathloss model for any environment is that no two areas are identical in the composition of the buildings and terrain. A pathloss model developed by Walfisch-Bertoni considers the impact of rooftops and building heights by using diffraction to predict average signal strength loss at street level. However, the error between the average path loss predicted by the model and that observed in practice will be smallest when the propagation environment conforms closely with the models assumptions (i.e. those urban environments exhibiting minimal variation in the height and separation of buildings). In particular, any building height variations can be expected to cause a significant error in the model predictions. Firstly, in this paper, we demonstrate the sensitivity impact of varying certain parameters on the performance W/B model in the study environments. The goal is to give the user an idea of the value associated with altering parameters that are in fact adjustable and showing the significance of the unchangeable parameters in the loss calculations.  Secondly, a new statistical tuning method is proposed by extending the technique of Walfisch- Bertoni model which is now valid for generalized conditions in the CDMA2000 signal propagation environments. The results showed that tuned pathloss data agree strongly with measured data in the different study locations.},
 year = {2013}
}

Copy | Download

TY  - JOUR
T1  - Statistical tuning of walfisch-bertoni pathloss prediction model based on building and street geometry sensitivity parameters in built-up terrains
AU  - Isabona Joseph
AU  - Babalola Michael
Y1  - 2013/06/30
PY  - 2013
N1  - https://doi.org/10.11648/j.ajpa.20130101.13
DO  - 10.11648/j.ajpa.20130101.13
T2  - American Journal of Physics and Applications
JF  - American Journal of Physics and Applications
JO  - American Journal of Physics and Applications
SP  - 10
EP  - 17
PB  - Science Publishing Group
SN  - 2330-4308
UR  - https://doi.org/10.11648/j.ajpa.20130101.13
AB  - One of the underlying difficulties with the application of a prediction pathloss model for any environment is that no two areas are identical in the composition of the buildings and terrain. A pathloss model developed by Walfisch-Bertoni considers the impact of rooftops and building heights by using diffraction to predict average signal strength loss at street level. However, the error between the average path loss predicted by the model and that observed in practice will be smallest when the propagation environment conforms closely with the models assumptions (i.e. those urban environments exhibiting minimal variation in the height and separation of buildings). In particular, any building height variations can be expected to cause a significant error in the model predictions. Firstly, in this paper, we demonstrate the sensitivity impact of varying certain parameters on the performance W/B model in the study environments. The goal is to give the user an idea of the value associated with altering parameters that are in fact adjustable and showing the significance of the unchangeable parameters in the loss calculations.  Secondly, a new statistical tuning method is proposed by extending the technique of Walfisch- Bertoni model which is now valid for generalized conditions in the CDMA2000 signal propagation environments. The results showed that tuned pathloss data agree strongly with measured data in the different study locations.
VL  - 1
IS  - 1
ER  -

Copy | Download

Author Information

Isabona Joseph

Department of Basic Sciences, Benson Idahosa University, PMB.1100, Benin City, Nigeria
Babalola Michael

Department of Physics, Faculty of Physical Sciences, University of Benin, PMB.1154, Benin City, Nigeria

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Isabona Joseph, Babalola Michael. (2013). Statistical tuning of walfisch-bertoni pathloss prediction model based on building and street geometry sensitivity parameters in built-up terrains. American Journal of Physics and Applications, 1(1), 10-17. https://doi.org/10.11648/j.ajpa.20130101.13

Copy | Download

ACS Style

Isabona Joseph; Babalola Michael. Statistical tuning of walfisch-bertoni pathloss prediction model based on building and street geometry sensitivity parameters in built-up terrains. Am. J. Phys. Appl. 2013, 1(1), 10-17. doi: 10.11648/j.ajpa.20130101.13

Copy | Download

AMA Style

Isabona Joseph, Babalola Michael. Statistical tuning of walfisch-bertoni pathloss prediction model based on building and street geometry sensitivity parameters in built-up terrains. Am J Phys Appl. 2013;1(1):10-17. doi: 10.11648/j.ajpa.20130101.13

Copy | Download

@article{10.11648/j.ajpa.20130101.13,
  author = {Isabona Joseph and Babalola Michael},
  title = {Statistical tuning of walfisch-bertoni pathloss prediction model based on building and street geometry sensitivity parameters in built-up terrains},
  journal = {American Journal of Physics and Applications},
  volume = {1},
  number = {1},
  pages = {10-17},
  doi = {10.11648/j.ajpa.20130101.13},
  url = {https://doi.org/10.11648/j.ajpa.20130101.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajpa.20130101.13},
  abstract = {One of the underlying difficulties with the application of a prediction pathloss model for any environment is that no two areas are identical in the composition of the buildings and terrain. A pathloss model developed by Walfisch-Bertoni considers the impact of rooftops and building heights by using diffraction to predict average signal strength loss at street level. However, the error between the average path loss predicted by the model and that observed in practice will be smallest when the propagation environment conforms closely with the models assumptions (i.e. those urban environments exhibiting minimal variation in the height and separation of buildings). In particular, any building height variations can be expected to cause a significant error in the model predictions. Firstly, in this paper, we demonstrate the sensitivity impact of varying certain parameters on the performance W/B model in the study environments. The goal is to give the user an idea of the value associated with altering parameters that are in fact adjustable and showing the significance of the unchangeable parameters in the loss calculations.  Secondly, a new statistical tuning method is proposed by extending the technique of Walfisch- Bertoni model which is now valid for generalized conditions in the CDMA2000 signal propagation environments. The results showed that tuned pathloss data agree strongly with measured data in the different study locations.},
 year = {2013}
}

Copy | Download

TY  - JOUR
T1  - Statistical tuning of walfisch-bertoni pathloss prediction model based on building and street geometry sensitivity parameters in built-up terrains
AU  - Isabona Joseph
AU  - Babalola Michael
Y1  - 2013/06/30
PY  - 2013
N1  - https://doi.org/10.11648/j.ajpa.20130101.13
DO  - 10.11648/j.ajpa.20130101.13
T2  - American Journal of Physics and Applications
JF  - American Journal of Physics and Applications
JO  - American Journal of Physics and Applications
SP  - 10
EP  - 17
PB  - Science Publishing Group
SN  - 2330-4308
UR  - https://doi.org/10.11648/j.ajpa.20130101.13
AB  - One of the underlying difficulties with the application of a prediction pathloss model for any environment is that no two areas are identical in the composition of the buildings and terrain. A pathloss model developed by Walfisch-Bertoni considers the impact of rooftops and building heights by using diffraction to predict average signal strength loss at street level. However, the error between the average path loss predicted by the model and that observed in practice will be smallest when the propagation environment conforms closely with the models assumptions (i.e. those urban environments exhibiting minimal variation in the height and separation of buildings). In particular, any building height variations can be expected to cause a significant error in the model predictions. Firstly, in this paper, we demonstrate the sensitivity impact of varying certain parameters on the performance W/B model in the study environments. The goal is to give the user an idea of the value associated with altering parameters that are in fact adjustable and showing the significance of the unchangeable parameters in the loss calculations.  Secondly, a new statistical tuning method is proposed by extending the technique of Walfisch- Bertoni model which is now valid for generalized conditions in the CDMA2000 signal propagation environments. The results showed that tuned pathloss data agree strongly with measured data in the different study locations.
VL  - 1
IS  - 1
ER  -

Copy | Download