PERFORMANCE ANALYSIS AND DEVELOPMENT OF PATH LOSS MODEL FOR TELEVISION SIGNALS IN IMO STATE, NIGERIA

PERFORMANCE ANALYSIS AND DEVELOPMENT OF PATH LOSS MODEL FOR TELEVISION SIGNALS IN IMO STATE, NIGERIA

Authors

DOI:

https://doi.org/10.31489/2023No2/87-98

Keywords:

Path loss, Television, Path loss model, Received signal strength, Wireless network

Abstract

It is impossible to overstate the importance of propagation models in wireless network planning, frequency assignment, and television parameter evaluation. The fact that no two locations are identical in terms of climatic conditions, building patterns, terrain, etc. makes using path loss predicting models for any area extremely challenging. Therefore, it is impossible to develop a single path loss model that applies to all environmental settings. The main aim of this study is to develop a path loss model for NTA channel 12 Owerri and evaluate its performance based on received signal strength values along five selected routes in Imo State, Nigeria. A suitable path loss model was developed by critically analyzing the measured path loss values of each base station, which were retrieved from the signal strength data received. The values of the developed path loss model were compared to those of other empirical path loss models developed by other researchers as well as the measured path loss values. The results show that the proposed path loss model is well suited for predicting the path loss of NTA channel 12 Owerri signals in the study environment, while the other conventional empirical models taken into consideration in this study overestimated the path loss of NTA channel 12 Owerri signals with Root Mean Square Error and Mean Error of 63.65 and above. Additionally, the findings indicate that NTA Owerri performs poorly at a distance of 18 kilometers from the base transmitting station. The overall findings are helpful for designing prospective television network channels in the study location and other similar environments.

References

Agboje O.E., Ibhaze A.E., Idowu-Bismark O.B. Performance Analysis of Wireless Mobile Network. Intern. Journal of Applied Engineering Research, 2016, Vol. 11, No. 8, pp. 6058 - 6062.

Zreikat A., Djordjevic M. Performance Analysis of Path loss Prediction Models in Wireless Mobile Networks in Different Propagation Environments. Proc. of the 3rd World Congress on Electrical Engineering and Computer Systems and Science, Rome, Italy, 2017, Vol.103, pp.VMW XXX-1-VMW XXX-8. doi: 10.11159/vmw17.103

Iwuji P.C., Emeruwa C. Influence of Atmospheric Parameters on Terrestrial Television Signals in South-Eastern Nigeria. Journal of Scientific and Engineering Research, 2022, Vol. 9, No. 3, pp. 61 - 71.

Adediji A.T., Ismali M., Mandeep J.S. Variation of radio field strength and radio horizon distance over three stations in Nigeria. Journal of Atmospheric and Solar-Terrestrial Physics, 2014, Vol. 109, pp. 1 - 6, doi: 10.1016/j.jastp.2013.12.006

Gordon O., Ozuomba S., Kalu C. Determination of the dominant fading and the effective fading for the rain zones in the ITU-R P.838-3 recommendation. European Journal of Mathematics and Computer Science, 2015, Vol. 2, No. 2, pp. 17 - 29.

Darr M.J., Zhao L. A Model for Predicting Signal Transmission Performance of Wireless Sensors in Poultry Layer Facilities. Iowa State University Digital Repository, 2008, Vol. 51, No. 5, pp. 1818 – 1827, doi: 10.13031/2013.25297

Abiodun I.C., Ukhurebor K.E. Comparison of 1800MHz Frequency Bands Path Loss Measurements with Conventional Models in Osun State, Nigeria. Current Applied Science and Technology, 2021, Vol. 22, No. 2, pp. 1 – 16. doi:10.55003/cast.2022.02.22.005

Jawhly T., Tiwari R.C. The special case of Egli and Hata model optimization using least-square approximation method. SN Applied, 2020, Vol. 2, No. 1296, pp. 1 – 10. doi: 10.1007/s42452-020-3061-0

Mollel M.S., Kisangiri M. Optimization of Hata-model based on measurements data using least square method: a case study in Daras-Salaam, Tanzania. Intern. Journal of Computer Application, 2014, Vol. 102, No. 4, pp. 35 - 39, doi: 10.5120/17806-8630/

Oke M.O., Raji R.A. Exponential Models of Signal Strength of a Television Station in Nigeria. Intern. Journal of Mathematics and Statistics Studies, 2014, Vol. 2, No. 1, pp. 45 - 54.

Popoola I.S., Misra S., Atayero A.A. Outdoor Path Loss Predictions Based on Extreme Learning Machine. Wireless Personal Communications, 2018, Vol. 99, No. 7, pp. 441–460. doi: 10.1007/s11277-017-5119-x

Iwuji P.C., Bassey D.E. Investigation of the Effect of Atmospheric Temperature on Signal Strength Generated by FM Transmitter in Imo State, Nigeria. Intern. Journal of Science and Research, 2018, Vol. 7, No. 6, pp. 82 – 85. doi: 10.21275/ART20183068

Chima A.I., Onyia A.I., Udegbe S.U. The Effects of Atmospheric Temperature and Wind Speed on Uhf Radio Signal; a Case Study of ESUT Community and Its Environs in Enugu State. IOSR Journal of Applied Physics, 2018, Vol. 10, No. 2, pp. 83 – 94. doi: 10.9790/4861-1002018390

Otuonye A., Nwakanma C.I., Obi N. An E-gov model for Imo State, Nigeria. Intern. Journal of the Trans African University and Research Development Network, 2012, Vol. 1, No. 1, pp. 122 – 136.

Onoja U.S., Nweze I.E., Agbo M.O., Nnamani P.O., et.al. Evaluation of bacteriological quality and essential elements in commercially bottled/packaged water produced and marketed in Southeastern Nigeria. African Journal of Microbiology Research, 2015, Vol. 9, No. 15, pp. 138 – 149. doi: 10.5897/AJMR2014.7201

Tonga D.A. Path Loss Propagation Model Prediction for GSM Mobile Networks in Nigeria. Proc. of First Intern. Conference Information Technology, Communication and Computing, Bhopal, M.P., India, 2017, pp 1 – 8.

Sharma H.K. Sahu S., Sharma S. Enhanced Cost 231 W.I. Propagation Model in Wireless Network. Intern. Journal of Computer Applications, 2011, Vol. 19, No. 6, pp. 36 – 42. doi: 10.5120/2363-3103

Deme A., Dajab D., Nyap D.C. Computer Analysis of the COST 231 Hata Model and Least Squares Approximation for Path Loss Estimation at 900MHz on the Mountain Terrains of the Jos-Plateau, Nigeria. Computer Engineering and Intelligent Systems, 2013, Vol. 4, No. 9, pp. 39 – 48.

Obota A., Simeon O., Afolayan J. Comparative Analysis of Path Loss Prediction Models for Urban Macrocellular Environments. Nigerian Journal of Technology, 2011, Vol. 30, 3, pp. 50-59

Akanni A.O., Oliseloke A.N. Validation of Egli Model and Estimation of Pathloss Exponent of a Radio Signal at VHF Band in Hilly Terrain. Intern. Journal of Research and Innovation in Applied Science, 2020, Vol. V, No. ix, pp. 95-100.

Akinbolati A., Ajewole M.O. Investigation of path loss and modeling for digital terrestrial television over Nigeria. Heliyon, 2020, Vol. 6, pp. 1-14. doi: 10.1016/j.heliyon.2020.e04101

Nasir F., Adeseko A.A., Yunusa A.A. On the study of empirical pathloss models for accurate prediction of TV signal for secondary users. Progress in Electromagnetic Research B, 2013, Vol. 49, pp 155 - 176.

Blaunstein N., Censor D., Katz D. Raio propagation in rural residential aras with vegetation. Progress in Electromagnetic Research, 2013, Vol. 40, pp. 131 - 153.

Shoewu O.O., Akinyemi L.A., Basorun O.O., Alao W.A. Performance analysis and efficiency of television broadcast transmitting signals in Lagos environs: A case study of LTV 8. Journal of Advancement in Engineering and technology, 2018, pp. Vol. 6, No. 2, pp. 1 – 6. doi: 10.5281/zenodo.1217081

Perez F.F., Espineira M.P. Modeling the Wireless Propagation Channel, a simulation approach with Matlab. A John Willey and Sons Publication Ltd, University of Vigo, Spain, 2008, pp. 8-32.

Faruk N., Ayeni A.A., Adediran Y.A. On the study of empirical path loss models for accurate prediction of TV signal for secondary users. Progress in Electromagnetic Research B, 2013, No.49, pp.1-5. doi:10.2528/PIERB13011306

Downloads

Published

2023-07-10

How to Cite

Iwuji, P., Okoro, R., Idajor, J., Amajama, J., Ibrahim, A., & Echem, C. (2023). PERFORMANCE ANALYSIS AND DEVELOPMENT OF PATH LOSS MODEL FOR TELEVISION SIGNALS IN IMO STATE, NIGERIA. Eurasian Physical Technical Journal, 20(2(44), 87–98. https://doi.org/10.31489/2023No2/87-98

Issue

Section

Engineering

Most read articles by the same author(s)

Loading...