Optimization of modified empirical model in 2.3 GHz long term evolution network. Case study of FUTO

Authors

DOI:

https://doi.org/10.3103/S0735272722010046

Keywords:

Cellular Mobile Station (CMS), FUTO University, Sony Ericsson Phone W995

Abstract

Path Loss (PL) is a factor that contributes to signal impairment in a wireless channel and can be predicted using empirical models such as Okumura-Hata, Egli, COST, and ECC-33. These models are known to be inaccurate when used in areas different from where they are meant for. In this paper an empirical model suitable for PL prediction in 4G Long Term Evolution (LTE) network was modified and optimized. Measured PL values were obtained and compared with the existing models in order to obtain the closest model to the measured data. The Okumura-Hata model as the closest to the measured values was modified using the loss exponent obtained for FUTO terrain and optimized for better performance using the developed autoregressive (AR) model. The measured data, the existing, modified and optimized AR [opt(ARm)] models were simulated using the MATLAB software. The performances of the existing and opt(ARm) models were evaluated using the root mean square error (RMSE). The results obtained show that the proposed opt(ARm) model is the best as compared to the existing models due to its lowest RMSE value, and thus it can be used to estimate PL for mobile radio signal in FUTO (Federal University of Technology, Owerri), Nigeria.

Author Biographies

Akinyinka Olukunle Akande, Federal University of Technology, Owerri

Department of Electrical and Electronic Engineering

Lecturer II

Folasade Abiola Semire, Ladoke Akintola University of Technology, Ogbomoso

Department of Electronic and Electrical Engineering

Senior Lecturer

 

Zacchaeus Kayode Adeyemo, Ladoke Akintola University of Technology, Ogbomoso

Department of Electronic and Electrical Engineering

Professor

 

References

A. L. Imoize, T. E. Ogunfuwa, “Propagation measurements of a 4G LTE network in Lagoon environment,” Niger. J. Technol. Dev., vol. 16, no. 1, p. 1, 2019, doi: https://doi.org/10.4314/njtd.v16i1.1.

T. S. Rappaport, Wireless Comunications - Principles and Practice, 2nd ed. New Jersey: Prentice Hall, 2002.

M. R. Alexander, “Understanding and predicting urban propagation losses,” Naval Postgraduate School, 2009.

M. Hata, “Empirical formula for propagation loss in land mobile radio services,” IEEE Trans. Veh. Technol., vol. 29, no. 3, pp. 317–325, 1980, doi: https://doi.org/10.1109/T-VT.1980.23859.

A. Ekeocha, N. Onyebuchi, L. Uzoechi, G. Ononiwu, “Optimization of cost 231 model for 3G wireless communication signal in suburban area of Port Harcourt, Nigeria,” Int. J. Eng. Sci. Res. Technol., vol. 5, no. 5, pp. 83–88, 2016, doi: https://doi.org/10.5281/zenodo.50980.

C. Cox, An Introduction to LTE. Chichester, UK: Wiley, 2014.

D. S. Nyitamen, M. Ahmed, T. A. Danladi, “Path loss propagation model prediction for GSM mobile network planning in Kaduna Town,” Int. J. Eng. Sci. Res. Technol., vol. 4, no. 4, pp. 345–352, 2015, uri: https://www.academia.edu/12380445/PATH_LOSS_PROPAGATION_MODEL_PREDICTION_FOR_GSM_MOBILE_NETWORK_PLANNING_IN_KADUNA_TOWN.

K. M. Aied, A. J. Ahmed, “Performance evaluation of path loss in mobile channel for Karada District in Baghdad City,” Eng. Technol. J., vol. 30, no. 17, pp. 3023–3038, 2012, uri: https://www.iasj.net/iasj/article/66070.

V. S. Abhayawardhana, I. J. Wassell, D. Crosby, M. P. Sellars, M. G. Brown, “Comparison of empirical propagation path loss models for fixed wireless access systems,” in IEEE 61st Vehicular Technology Conference, 2005, pp. 73–77.

C. I. Abiodun, J. S. Ojo, “Determination of probability distribution function for modelling path loss for wireless channels applications over micro-cellular environments of Ondo State, Southwestern Nigeria,” World Sci. News, vol. 118, pp. 74–88, 2019, uri: https://bibliotekanauki.pl/articles/1075736.

J. O. Eichie, O. D. Oyedum, M. O. Ajewole, A. M. Aibinu, “Comparative analysis of basic models and artificial neural network based model for path loss prediction,” Prog. Electromagn. Res. M, vol. 61, pp. 133–146, 2017, doi: https://doi.org/10.2528/PIERM17060601.

S. A. Mawjoud, “Comparison of propagation model accuracy for long term evolution (LTE) cellular network,” Int. J. Comput. Appl., vol. 79, no. 11, pp. 41–45, 2013, doi: https://doi.org/10.5120/13789-1931.

E. T. Tchao, J. D. Gadze, J. Obeng, “Performance evaluation of a deployed 4G LTE network,” Int. J. Adv. Comput. Sci. Appl., vol. 9, no. 3, 2018, doi: https://doi.org/10.14569/IJACSA.2018.090325.

A. Obot, O. Simeon, J. Afolayan, “Comparative analysis of path loss prediction models for urban macrocellular environments,” Niger. J. Technol., vol. 30, no. 3, pp. 50–59, 2011, uri: https://www.ajol.info/index.php/njt/article/view/123543.

A. A. Nwaokoro, N. Chukwuchekwa, K. C. Emerole, “Evaluation of the strength of signal received by a GSM network (MTN) in Owerri Metropolis using drive test,” Int. J. Eng. Technol., vol. 6, no. 1, pp. 17–27, 2016, uri: https://www.researchgate.net/publication/322293853_Evaluation_of_the_Strength_of_Signal_Received_By_A_GSM_Network_MTN_In_Owerri_Metropolis_Using_Drive_Test.

A. N. Jadhav, S. S. Kale, “Suburban area path loss propagation prediction and optimization using Hata model at 2375 MHz,” Int. J. Adv. Res. Comput. Commun. Eng., vol. 3, no. 1, pp. 5004–5008, 2014, uri: https://www.ijarcce.com/upload/2014/january/IJARCCE3F__s_sachin_Suburban.pdf.

P. Kumar, B. Patil, S. Ram, “Selection of radio propagation model for long term evolution (LTE) network,” Int. J. Eng. Res. Gen. Sci., vol. 3, no. 1, pp. 373–379, 2015, uri: http://pnrsolution.org/Datacenter/Vol3/Issue1/48.pdf.

G. A. Abed, M. Ismail, K. Jumari, “Modeling and performance evaluation of LTE networks with different TCP variants,” Int. Sch. Sci. Res. Innov., vol. 5, no. 3, pp. 443–448, 2011, uri: https://www.researchgate.net/publication/292056029_Modeling_and_performance_evaluation_of_LTE_networks_with_different_TCP_variants.

J. Isabona, C. Konyeha, “Experimental study of UMTS radio signal propagation characteristics by field measurement,” Am. J. Eng. Res., vol. 2, no. 7, pp. 99–106, 2013, uri: https://www.researchgate.net/publication/275350751_Experimental_Study_of_Umts_Radio_Signal_Propagation_Characteristics_by_Field_Measurement.

N. S. Nkordeh, A. A. Atayero, F. E. Idachaba, O. O. Oni, “LTE network planning using the Hata-Okumura and the COST-231 Hata pathloss models,” in Proceedings of the World Congress on Engineering, 2014, uri: https://www.researchgate.net/publication/277015846_LTE_Network_Planning_using_the_Hata-Okumura_and_the_COST-231_Hata_Pathloss_Models.

B. O. Omijeh, I. C. Nnaemeka, “Determination of a path loss model for long term evolution (LTE) in FESTAC town Lagos,” Int. J. Sci. Eng. Res., vol. 9, no. 2, pp. 776–786, 2018, uri: https://www.ijser.org/researchpaper/DETERMINATION-OF-A-PATHLOSS-MODEL-FOR-LONG-TERM-EVOLUTION-LTE-IN-FESTAC-TOWN-LAGOS.pdf.

N. Shabbir, H. Kashif, “Radio resource management in WiMAX,” Blekinge Institute of Technology, 2009.

J. Milanovic, S. Rimac-Drlje, K. Bejuk, “Comparison of propagation models accuracy for WiMAX on 3.5 GHz,” in 2007 14th IEEE International Conference on Electronics, Circuits and Systems, 2007, pp. 111–114, doi: https://doi.org/10.1109/ICECS.2007.4510943.

J. Walfisch, H. L. Bertoni, “A theoretical model of UHF propagation in urban environments,” IEEE Trans. Antennas Propag., vol. 36, no. 12, pp. 1788–1796, 1988, doi: https://doi.org/10.1109/8.14401.

J. Isabona, S. Azi, “Optimised Walfisch-Bertoni model for pathloss prediction in urban propagation environment,” Int. J. Eng. Innov. Technol., vol. 2, no. 5, pp. 14–20, 2012.

A. A. Nwaokoro, C. Nkwachukwu, O. C. Nosiri, “Signal strength evaluation of a 3G network in Owerri metropolis using path loss propagation model at 2.1GHz,” IOSR J. Electron. Commun. Eng., vol. 11, no. 6, pp. 44–53, 2016, doi: https://doi.org/10.9790/2834-1106044453.

A. Ekeocha, O. Nosiri, L. O. Uzoechi, “Path loss characterization of 3G wireless signal for urban and suburban environments in Port Harcourt City, Nigeria,” Int. Res. J. Eng. Technol., vol. 3, no. 3, pp. 16–23, 2016.

W. C. Y. Lee, “Estimate of local average power of a mobile radio signal,” IEEE Trans. Veh. Technol., vol. 34, no. 1, pp. 22–27, 1985, doi: https://doi.org/10.1109/T-VT.1985.24030.

Z. K. Adeyemo, A. O. Akande, A. O. Fawole, “Investigation of some existing prediction models and development of a modified model for UMTS signal in Owerri, Nigeria,” Int. J. Commun. Antenna Propag., vol. 7, no. 4, p. 290, 2017, doi: https://doi.org/10.15866/irecap.v7i4.10057.

Drive-test route showing signal strength and antenna location

Published

2022-01-20

Issue

Section

Research Articles