Performance Evaluation of Hata-Davidson Pathloss Model Tuning Approaches for a Suburban Area

Wali Samuel; Njumoke N. Odu; Samuel Godwin Ajumo

doi:doi:10.11648/j.ajsea.20170603.16

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Performance Evaluation of Hata-Davidson Pathloss Model Tuning Approaches for a Suburban Area

Wali Samuel, Njumoke N. Odu, Samuel Godwin Ajumo

Published in American Journal of Software Engineering and Applications (Volume 6, Issue 3)

Received: 3 January 2017 Accepted: 18 January 2017 Published: 23 June 2017

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Abstract

In this paper, comparative study of RMSE-base tuning and multi-parameter-based tuning of Hata-Davidson pathloss model for a suburban area is presented. The study was based on field measurement of received signal strength carried out in a suburban area for a GSM (Global System for Mobile communication) network that operates in the 1800MHz frequency band. The results show that multi-parameter-tuned Hata-Davidson model has better prediction accuracy of 98.70720432% and RMSE of 2.177522885 dB as against the RMSE-tuned Hata-Davidson model with prediction accuracy of 97.42722692% and RMSE of 4.256897001dB. However, the RMSE is quite simple and easier to implement even in embedded systems and systems with limited resource.

Published in	American Journal of Software Engineering and Applications (Volume 6, Issue 3)
DOI	10.11648/j.ajsea.20170603.16
Page(s)	93-98
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), 2024. Published by Science Publishing Group

Keywords

Pathloss, Propagation Model, Hata-Davidson Model, Model Optimisation, Multi-Parameter-Based Tuning Method, RMSE-Base Tuning Method, Least Square Error Method

References

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[2]	Bola, G. S., & Saini, G. S. (2013). Path Loss Measurement and Estimation Using Different Empirical Models For WiMax In Urban Area. International Journal of Scientific & Engineering Research, 4 (5).
[3]	Obot, A., Simeon, O., & Afolayan, J. (2011). Comparative analysis of path loss prediction models for urban macrocellular environments. Nigerian journal of technology, 30 (3), 50-59.
[4]	Ogundapo, E. O., Oborkhale, L. I., & Ogunleye, S. B. (2011).
[5]	Comparative Study of Path Loss Models for Wireless Mobile Network Planning. International Journal of Engineering and Mathematical Intelligence, 2 (1-3), 19-22.
[6]	Faruk, N., Adediran, Y. A., & Ayeni, A. A. (2013, July). error bounds of empirical path loss models at vhf/uhf bands in kwara state, Nigeria. InEUROCON, 2013 IEEE (pp. 602-607). IEEE.
[7]	Faruk, N., Ayeni, A. A., & Adediran, Y. A. (2013). Impact of Empirical Path loss models on Spatial TV white space Utilization. European scientific journal.
[8]	Faruk, N., Ayeni, A., & Adediran, Y. A. (2013). On the study of empirical path loss models for accurate prediction of TV signal for secondary users. Progress In Electromagnetics Research B, 49, 155-176.
[9]	Dalela, C., Prasad, M. V. S. N., & Dalela, P. K. (2012). Tuning of COST-231 Hata model for radio wave propagation predictions. Computer Science and Information Technology (CS & IT), DOI, 10, 255-267.
[10]	Isabona, J., & Azi, S. (2012). Optimized Walficsh-Bertoni Model for Pathloss Prediction in Urban Propagation Environment. International Journal of Engineering and Innovative Technology (IJEIT) Volume, 2, 14-20.
[11]	Chen, Y. H., & Hsieh, K. L. (2006, May). A dual least-square approach of tuning optimal propagation model for existing 3G radio network. In 2006 IEEE 63rd Vehicular Technology Conference (Vol. 6, pp. 2942-2946). IEEE.
[12]	Faruk, N., Adediran, Y. A., & Ayeni, A. A. (2013, May). Optimization of Davidson Model based on RF measurement conducted in UHF/VHF bands. In Proceedings of 6th IEEE Conference on Information Technology.
[13]	Ajose, S. O., and Imoize, A. L. (2013). Propagation measurements and modelling at 1800 MHz in Lagos Nigeria. International Journal of Wireless and Mobile Computing, 6 (2), 165-174.
[14]	Seybold, J. S. (2005) Introduction to RF Propagation, John Wiley and Sons Inc., New Jersey.
[15]	Rappaport, T. S. (2002) Wireless Communication: Principles and Practice, 2nd ed., Prentice Hall, Upper Saddle River, NJ, USA.

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APA Style

Wali Samuel, Njumoke N. Odu, Samuel Godwin Ajumo. (2017). Performance Evaluation of Hata-Davidson Pathloss Model Tuning Approaches for a Suburban Area. American Journal of Software Engineering and Applications, 6(3), 93-98. https://doi.org/10.11648/j.ajsea.20170603.16

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ACS Style

Wali Samuel; Njumoke N. Odu; Samuel Godwin Ajumo. Performance Evaluation of Hata-Davidson Pathloss Model Tuning Approaches for a Suburban Area. Am. J. Softw. Eng. Appl. 2017, 6(3), 93-98. doi: 10.11648/j.ajsea.20170603.16

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AMA Style

Wali Samuel, Njumoke N. Odu, Samuel Godwin Ajumo. Performance Evaluation of Hata-Davidson Pathloss Model Tuning Approaches for a Suburban Area. Am J Softw Eng Appl. 2017;6(3):93-98. doi: 10.11648/j.ajsea.20170603.16

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@article{10.11648/j.ajsea.20170603.16,
  author = {Wali Samuel and Njumoke N. Odu and Samuel Godwin Ajumo},
  title = {Performance Evaluation of Hata-Davidson Pathloss Model Tuning Approaches for a Suburban Area},
  journal = {American Journal of Software Engineering and Applications},
  volume = {6},
  number = {3},
  pages = {93-98},
  doi = {10.11648/j.ajsea.20170603.16},
  url = {https://doi.org/10.11648/j.ajsea.20170603.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajsea.20170603.16},
  abstract = {In this paper, comparative study of RMSE-base tuning and multi-parameter-based tuning of Hata-Davidson pathloss model for a suburban area is presented. The study was based on field measurement of received signal strength carried out in a suburban area for a GSM (Global System for Mobile communication) network that operates in the 1800MHz frequency band. The results show that multi-parameter-tuned Hata-Davidson model has better prediction accuracy of 98.70720432% and RMSE of 2.177522885 dB as against the RMSE-tuned Hata-Davidson model with prediction accuracy of 97.42722692% and RMSE of 4.256897001dB. However, the RMSE is quite simple and easier to implement even in embedded systems and systems with limited resource.},
 year = {2017}
}

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TY  - JOUR
T1  - Performance Evaluation of Hata-Davidson Pathloss Model Tuning Approaches for a Suburban Area
AU  - Wali Samuel
AU  - Njumoke N. Odu
AU  - Samuel Godwin Ajumo
Y1  - 2017/06/23
PY  - 2017
N1  - https://doi.org/10.11648/j.ajsea.20170603.16
DO  - 10.11648/j.ajsea.20170603.16
T2  - American Journal of Software Engineering and Applications
JF  - American Journal of Software Engineering and Applications
JO  - American Journal of Software Engineering and Applications
SP  - 93
EP  - 98
PB  - Science Publishing Group
SN  - 2327-249X
UR  - https://doi.org/10.11648/j.ajsea.20170603.16
AB  - In this paper, comparative study of RMSE-base tuning and multi-parameter-based tuning of Hata-Davidson pathloss model for a suburban area is presented. The study was based on field measurement of received signal strength carried out in a suburban area for a GSM (Global System for Mobile communication) network that operates in the 1800MHz frequency band. The results show that multi-parameter-tuned Hata-Davidson model has better prediction accuracy of 98.70720432% and RMSE of 2.177522885 dB as against the RMSE-tuned Hata-Davidson model with prediction accuracy of 97.42722692% and RMSE of 4.256897001dB. However, the RMSE is quite simple and easier to implement even in embedded systems and systems with limited resource.
VL  - 6
IS  - 3
ER  -

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Author Information

Wali Samuel

Department of Electrical/Electronic and Computer Engineering, University of Uyo, Uyo, Nigeria
Njumoke N. Odu

Department of Electrical/Computer Engineering, Port Harcourt Polytechnic, Port Harcourt, Nigeria
Samuel Godwin Ajumo

Department of Electrical/Computer Engineering, Port Harcourt Polytechnic, Port Harcourt, Nigeria

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Plain Text BibTeX RIS

APA Style

Wali Samuel, Njumoke N. Odu, Samuel Godwin Ajumo. (2017). Performance Evaluation of Hata-Davidson Pathloss Model Tuning Approaches for a Suburban Area. American Journal of Software Engineering and Applications, 6(3), 93-98. https://doi.org/10.11648/j.ajsea.20170603.16

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ACS Style

Wali Samuel; Njumoke N. Odu; Samuel Godwin Ajumo. Performance Evaluation of Hata-Davidson Pathloss Model Tuning Approaches for a Suburban Area. Am. J. Softw. Eng. Appl. 2017, 6(3), 93-98. doi: 10.11648/j.ajsea.20170603.16

Copy | Download

AMA Style

Wali Samuel, Njumoke N. Odu, Samuel Godwin Ajumo. Performance Evaluation of Hata-Davidson Pathloss Model Tuning Approaches for a Suburban Area. Am J Softw Eng Appl. 2017;6(3):93-98. doi: 10.11648/j.ajsea.20170603.16

Copy | Download

@article{10.11648/j.ajsea.20170603.16,
  author = {Wali Samuel and Njumoke N. Odu and Samuel Godwin Ajumo},
  title = {Performance Evaluation of Hata-Davidson Pathloss Model Tuning Approaches for a Suburban Area},
  journal = {American Journal of Software Engineering and Applications},
  volume = {6},
  number = {3},
  pages = {93-98},
  doi = {10.11648/j.ajsea.20170603.16},
  url = {https://doi.org/10.11648/j.ajsea.20170603.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajsea.20170603.16},
  abstract = {In this paper, comparative study of RMSE-base tuning and multi-parameter-based tuning of Hata-Davidson pathloss model for a suburban area is presented. The study was based on field measurement of received signal strength carried out in a suburban area for a GSM (Global System for Mobile communication) network that operates in the 1800MHz frequency band. The results show that multi-parameter-tuned Hata-Davidson model has better prediction accuracy of 98.70720432% and RMSE of 2.177522885 dB as against the RMSE-tuned Hata-Davidson model with prediction accuracy of 97.42722692% and RMSE of 4.256897001dB. However, the RMSE is quite simple and easier to implement even in embedded systems and systems with limited resource.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Performance Evaluation of Hata-Davidson Pathloss Model Tuning Approaches for a Suburban Area
AU  - Wali Samuel
AU  - Njumoke N. Odu
AU  - Samuel Godwin Ajumo
Y1  - 2017/06/23
PY  - 2017
N1  - https://doi.org/10.11648/j.ajsea.20170603.16
DO  - 10.11648/j.ajsea.20170603.16
T2  - American Journal of Software Engineering and Applications
JF  - American Journal of Software Engineering and Applications
JO  - American Journal of Software Engineering and Applications
SP  - 93
EP  - 98
PB  - Science Publishing Group
SN  - 2327-249X
UR  - https://doi.org/10.11648/j.ajsea.20170603.16
AB  - In this paper, comparative study of RMSE-base tuning and multi-parameter-based tuning of Hata-Davidson pathloss model for a suburban area is presented. The study was based on field measurement of received signal strength carried out in a suburban area for a GSM (Global System for Mobile communication) network that operates in the 1800MHz frequency band. The results show that multi-parameter-tuned Hata-Davidson model has better prediction accuracy of 98.70720432% and RMSE of 2.177522885 dB as against the RMSE-tuned Hata-Davidson model with prediction accuracy of 97.42722692% and RMSE of 4.256897001dB. However, the RMSE is quite simple and easier to implement even in embedded systems and systems with limited resource.
VL  - 6
IS  - 3
ER  -

Copy | Download