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Reseach Article

Optimization of Hata Model based on Measurements Data using Least Square Method: A Case Study in Dar-es-Salaam - Tanzania

by Michael S. Mollel, Michael Kisangiri
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 102 - Number 4
Year of Publication: 2014
Authors: Michael S. Mollel, Michael Kisangiri
10.5120/17806-8630

Michael S. Mollel, Michael Kisangiri . Optimization of Hata Model based on Measurements Data using Least Square Method: A Case Study in Dar-es-Salaam - Tanzania. International Journal of Computer Applications. 102, 4 ( September 2014), 35-39. DOI=10.5120/17806-8630

@article{ 10.5120/17806-8630,
author = { Michael S. Mollel, Michael Kisangiri },
title = { Optimization of Hata Model based on Measurements Data using Least Square Method: A Case Study in Dar-es-Salaam - Tanzania },
journal = { International Journal of Computer Applications },
issue_date = { September 2014 },
volume = { 102 },
number = { 4 },
month = { September },
year = { 2014 },
issn = { 0975-8887 },
pages = { 35-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume102/number4/17806-8630/ },
doi = { 10.5120/17806-8630 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:32:16.818561+05:30
%A Michael S. Mollel
%A Michael Kisangiri
%T Optimization of Hata Model based on Measurements Data using Least Square Method: A Case Study in Dar-es-Salaam - Tanzania
%J International Journal of Computer Applications
%@ 0975-8887
%V 102
%N 4
%P 35-39
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this study, we present a measurement-based model for path loss prediction in three GSM service areas at 900 MHz . Modified Hata model for rural, suburban, and urban environments were derived in this study on the basis of experimental path loss measurements with the use of least square method. The models developed predicted with reasonable accuracy the path loss of radio networks investigated with a root mean square error of < 6 dB . The developed model can be useful in network planning and optimization for the environments taken as case study for the investigation, as well as any macro- and microcell environment, which is similar to the environment considered in this research.

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Index Terms

Computer Science
Information Sciences

Keywords

Path loss prediction Hata model Mean Root Mean Square Error Linear Least Square Method