Performance Evaluation of Hata-Davidson Pathloss Model Tuning Approaches for a Suburban Area
American Journal of Software Engineering and Applications
Volume 6, Issue 3, June 2017, Pages: 93-98
Received: Jan. 3, 2017;
Accepted: Jan. 18, 2017;
Published: Jun. 23, 2017
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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
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.
Njumoke N. Odu,
Samuel Godwin Ajumo,
Performance Evaluation of Hata-Davidson Pathloss Model Tuning Approaches for a Suburban Area, American Journal of Software Engineering and Applications.
Vol. 6, No. 3,
2017, pp. 93-98.
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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