CFP last date
22 July 2024
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.

References
  1. Anderson, R. , Coverage Prediction for Digital Mobile Systems part 1. MRT Engineering, Prism Business Media Inc, 2006.
  2. Emagbetere, J. and F. Edeko, Measurement validation of Hata-like Models for Radio propagation Path loss in Rural Environment at 1. 8 GHz. Journal of Mobile Communication, 2009. 3(2): p. 17-21.
  3. Neskovic, A. , N. Neskovic, and D. Paunovic. Improvements of ITU-R field strength prediction method for land mobile services. in Electrotechnical Conference, 2002. MELECON 2002. 11th Mediterranean. 2002. IEEE.
  4. Chebil, J. , et al. Comparison of empirical propagation path loss models for mobile communications in the suburban area of Kuala Lumpur. in Mechatronics (ICOM), 2011 4th International Conference On. 2011. IEEE.
  5. Shoewu, O. and F. Edeko, Analysis of radio wave propagation in Lagos environs. American Journal of Scientific and Industrial Research, 2011. 2(3): p. 438-455.
  6. Michael Samwel Mollel, A. T. K. , Dr. Michael Kisangiri, The effect of real ground on dual band Yagi-Uda antenna. International Journal of Engineering Research &amp; Technology (IJERT), 2013. 2(10): p. 2482-2485.
  7. Busayo. Vodacom To Invest $124m For Tanzania Network Expansion - Ventures Africa. 2013 [cited 2013 25-oct]; Available from: http://www. ventures-africa. com/2013/08/vodacom-to-invest-124m-for-tanzania-network-expansion/.
  8. Wakoba, S. Tigo Tanzania To Launch 209 New Network Sites In Three Months 2013 [cited 2013 25-oct]; Available from: http://techmoran. com/tigo-tanzania-to-launch-209-new-network-sites-in-three-months/.
  9. Kanagalu, R. , Coverage Estimation for Mobile Cellular Networks from Signal Strength measure-ments. 1999, Ph. D Thesis, University of Texas at Dallas.
  10. Economics, T. Mobile cellular subscriptions in Tanzania. 2014 [cited 2014 July-23]; Available from: http://www. tradingeconomics. com/tanzania/mobile-cellular-subscriptions-wb-data. html.
  11. Amaldi, E. , A. Capone, and F. Malucelli, Radio planning and coverage optimization of 3G cellular networks. Wireless Networks, 2008. 14(4): p. 435-447.
  12. Budhiraja, R. and J. S. Jadon, Study And Implementation Of Drive Test For Development Of GSM Network.
  13. Seybold, J. S. , Introduction to RF propagation. 2005: John Wiley &amp; Sons.
  14. Deme, A. , et al. , Hata-Okumura Model Computer Analysis for Path Loss Determination at 900MHz for Maiduguri, Nigeria. Mathematical Theory and Modeling, 2013. 3(3): p. 1-9.
  15. Weisstein, E. W. , Least Squares Fitting–Logarithmic. From MathWorld–A Wolfram Web, 2010.
  16. Nadir, Z. , N. Elfadhil, and F. Touati. Pathloss determination using Okumura-Hata model and spline interpolation for missing data for Oman. in Proceedings of the World Congress on Engineering. 2008. Citeseer.
Index Terms

Computer Science
Information Sciences

Keywords

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