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Comparison of 1800MHz Frequency Bands Path Loss Measurements with Conventional Models in Osun State, Nigeria

Comparison of 1800MHz Frequency Bands Path Loss Measurements with Conventional Models in Osun State, Nigeria

Original Research ArticleJul 21, 2021Vol. 22 No. 2 (2022) 10.55003/cast.2022.02.22.005

Abstract

The role of propagation models in the planning of wireless network, evaluation of cell parameters and frequency assignment cannot be overemphasized. One of the major difficulties with the application of path loss predicting models for any environment is that no two environments are the same in building patterns, terrain, atmospheric conditions, etc. It is therefore impracticable to formulate a single path loss model for all environments. In this study, an assessment of microwave frequency band measurement results based on received signal strength (RSS) values from four base stations in four urban environments in Osun State, Nigeria, are presented. The measured path loss values of each base station were extracted from the RSS values and compared with the results estimated from five conventional path loss models. Model comparison results based on three metric measures and fitting accuracy showed that a log-normal shadowing model exhibited a better agreement with the measured path loss with RMSE of less than 8 dB, the lowest RE, and R2 closer to one, in all the environments monitored. The best probable probability distribution for modelling the path loss at the investigated urban environments was also determined. The result of the various distribution functions tested using three goodness of fits showed that the normal distribution function offered the best match with the path loss values based on RMSE, RE, and R2 values calculated and fitting accuracy for both environments. Practical path loss parameters were also estimated for each of the base stations considered. The overall results should be useful for planning future mobile network channels.

Keywords: received signal strength; path loss; path loss models; probability distribution functions; wireless network

*Corresponding author: Tel.: +2348035383194

                                             E-mail: ukhurebor.kingsley@edouniversity.edu.ng

References

1
Ojo, S.O., Adekunle, A. and Falodun, S.E., 2014. Investigation of path loss of mobile radio service at l-band frequency over Akure, South western Nigeria. IOSR Journal of Electronics and Communication Engineering, 9(2), 126-132.
2
Chebil, J., Laws, A.K., Islam, M.R. and Zyoud, A.-H., 2011. Investigation of path loss models for mobile communications in Malaysia. Australian Journal of Basic and Applied Sciences, 5(6), 365-371.
3
Sharma, P.K., Sharma, D. and Singh, R.K., 2015. Development of propagation model by considering different climatic conditions. MAGNT Research Report, 2(6), 389-401.
4
Hrovat, A. and Javornik, T., 2013. Analysis of radio propagation models for smart city applications. International Journal of Communications, 7(4), 83-92.
5
Akinyemi, P., Azi, S.O. Ojo, J.S. and Abiodun, C.I., 2015. Evaluation for suitable propagation model to mobile communications in South-South Nigeria urban terrain. American Journal of Engineering Research, 4(4), 1-5.

Author Information

Kingsley Eghonghon Ukhurebor*

Department of Physics, Federal University Otuoke, Beyelsa State, Nigeria

Kingsley Eghonghon Ukhurebor*

Department of Physics, Edo State University Uzairue, Edo State, Nigeria

About this Article

Current Journal

Vol. 22 No. 2 (2022)

Type of Manuscript

Original Research Article

Keywords

received signal strength;
path loss;
path loss models;
probability distribution functions;
wireless network

Published

21 July 2021

DOI

10.55003/cast.2022.02.22.005

Current Journal

Journal Cover
Vol. 22 No. 2 (2022)

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