Propagation Measurements and Modeling of a 4G LTE Network in a Lagoon Environment

Authors

  • A L Imoize UNIVERSITY OF LAGOS
  • T E Ogunfuwa Department of Electrical and Electronics Engineering, University of Lagos, Akoka Lagos, Nigeria

Keywords:

Propagation measurements, 4G LTE network, Pathloss modeling, Root mean squared error, Least square algorithm, COST-231 Hata model, Optimization

Abstract

This paper presents an analysis of predicted and measured path loss over a Lagoon environment. Propagation measurements were carried out at 1800MHz, within a quarter of a year, using Huawei Technologies drive test equipment. Measured data comprising of the received signal strength was taken for the initial measurements, measurements after one month, measurements after two months, and measurements after three months. Measured path loss was compared against predictions made by free-space model, log-distance model, two-ray model, COST-231 Hata model, and Stanford University Interim (SUI) model. For all measurements, the COST-231 Hata model showed the best performance with root mean square errors (RMSEs) of 10.03dB, 12.38dB, 17.59dB, and 7.67dB for the initial measurements, measurements after one month, measurements after two months, and measurements after three months, respectively. In order to achieve a more accurate prediction, this model was optimized using the least square algorithm, and the optimized model showed improved prediction accuracies for the first three months of measurements, with RMSEs of 7.90dB, 9.28dB, and 14.82dB, respectively. Notably, results revealed an increased RMSE of 9.28dB from 7.67dB, for the after three months measurements. Overall, the average RMSEs of the optimized model showed 11.07dB against that of the COST 231 Hata model of 11.92dB. This accounts for about 7.13% improvements over the existing COST 231 Hata model. Generally, the optimized COST 231-Hata model could be used to characterize radio channels in related environments.

Author Biography

T E Ogunfuwa, Department of Electrical and Electronics Engineering, University of Lagos, Akoka Lagos, Nigeria

Ogunfuwa holds Bachelor of Science in Electrical and Electronics Engineering with second class honours. He is currently practicing Engineering in Lagos, and his area of interests are in the areas of wireless communication systems.

References

Abhayawardhana, V. S., Wassell, I. J., Crosby, D., Sellars, M. P., & Brown, M. G. (2005, May). Comparison of empirical propagation path loss models for fixed wireless access systems. In Vehicular Technology Conference, 2005. VTC 2005-Spring. 2005 IEEE 61st (Vol. 1, pp. 73-77). IEEE.

Ajose, S. O., & Imoize, A. L. (2013). Propagation measurements and modelling at 1800 MHz in Lagos Nigeria. International Journal of Wireless and Mobile Computing, 6(2), 165-174.

Aragon-Zavala, A. (2008). Antennas and propagation for wireless communication systems. John Wiley & Sons.

Atanasov, P., & Kissovski, Z. (2013). Investigations of the Signal Path Loss in 4G LTE Network. Bulg. J. Phys, 40, 265-268.

Erceg, V., Greenstein, L. J., Tjandra, S. Y., Parkoff, S. R., Gupta, A., Kulic, B., ... & Bianchi, R. (1999). An empirically based path loss model for wireless channels in suburban environments. IEEE Journal on selected areas in communications, 17(7), 1205-1211.

Feuerstein, M. J., Blackard, K. L., Rappaport, T. S., Seidel, S. Y., & Xia, H. H. (1994). Path loss, delay spread, and outage models as functions of antenna height for microcellular system design. IEEE Transactions on Vehicular Technology, 43(3), 487-498.

Hata, M., & Nagatsu, T. (1980). Mobile location using signal strength measurements in a cellular system. IEEE Transactions on Vehicular Technology, 29(2), 245-252.

Ibhaze, A. E., Imoize, A. L., Ajose, S. O., John, S. N., Ndujiuba, C. U., & Idachaba, F. E. (2017). An Empirical Propagation Model for Path Loss Prediction at 2100MHz in a Dense Urban Environment. Indian Journal of Science and Technology, 10(5), 1-9.

Karasawa, Y., Kuroda, T., & Iwai, H. (1997). The equivalent transmission-path model-a tool for analyzing error floor characteristics due to intersymbol interference in Nakagami-Rice fading environments. IEEE transactions on vehicular technology, 46(1), 194-202.

Milanovic, J., Rimac-Drlje, S., & Bejuk, K. (2007, December). Comparison of propagation models accuracy for WiMAX on 3.5 GHz. In Electronics, Circuits and Systems, 2007. ICECS 2007. 14th IEEE International Conference on (pp. 111-114). IEEE.

Obiyemi, O. O., Ojo, J. S., & Ibiyemi, T. S. (2014). Performance analysis of rain rate models for microwave propagation designs over tropical climate. Progress in Electromagnetics Research, 39, 115-122.

Phillips, C., Sicker, D., & Grunwald, D. (2013). A survey of wireless path loss prediction and coverage mapping methods. IEEE Communications Surveys & Tutorials, 15(1), 255-270.

Rappaport, T. S. (1996). Wireless communications: principles and practice (Vol. 2). New Jersey: prentice hall PTR.

Reyes-Guerrero, J. C., Bruno, M., Mariscal, L. A., & Medouri, A. (2011, September). Buoy-to-ship experimental measurements over sea at 5.8 GHz near urban environments. In Mediterranean Microwave Symposium (MMS), 2011 11th (pp. 320-324). IEEE.

Saxena, A., & Sindal, R. (2018). An Optimized LTE Hand over Model on Quality and Margin with Key Performance Indicator. Wireless Personal Communications, 98(2), 2389-2401.

Sharma, P. K., & Singh, R. K. (2010). Comparative analysis of propagation path loss models with field measured data. International Journal of Engineering Science and Technology, 2(6), 2008-2013.

Sharma, P. K., Sharma, D., Sau, P. C., & Gupta, A. (2016, November). Comparative analysis of propagation models in LTE networks with spline interpolation. In Communication Control and Intelligent Systems (CCIS), 2016 2nd International Conference on (pp. 3-7). IEEE.

Seidel, S. Y., & Rappaport, T. S. (1992). 914 MHz path loss prediction models for indoor wireless communications in multi-floored buildings. IEEE transactions on Antennas and Propagation, 40(2), 207-217.

Seybold, J. S. (2005). Introduction to RF propagation. John Wiley & Sons.

Sulyman, A. I., Alwarafy, A., MacCartney, G. R., Rappaport, T. S., & Alsanie, A. (2016). Directional radio propagation path loss models for millimeter-wave wireless networks in the 28-, 60-, and 73-GHz bands. IEEE Transactions on Wireless Communications, 15(10), 6939-6947.

Ubom, E. A., Idigo, V. E., Azubogu, A. C. O., Ohaneme, C. O., & Alumona, T. L. (2011). Path loss characterization of wireless propagation for South–South region of Nigeria. International Journal of Computer Theory and Engineering, 3(3), 478-482.

Wang, W., Hoerack, G., Jost, T., Raulefs, R., Walter, M., & Fiebig, U. C. (2015). Scattering Phenomena of the Propagation Channel at 5.2 GHz on the Baltic Sea. In Antennas and Propagation (EuCAP), 2015 9th European Conference on, 13-17 April 2015, Lisbon Portugal, (1-5). IEEE

Weissberger, M. A. (1982). An initial critical summary of models for predicting the attenuation of radio waves by trees. Electromagnetic Compatibility Analysis Center Annapolis MD. ESD-TR-81-101, 1-162.

Wu, J., & Yuan, D. (1998, September). Propagation measurements and modeling in Jinan city. In Personal, Indoor and Mobile Radio Communications, 1998. The Ninth IEEE International Symposium on (Vol. 3, pp. 1157-1160). IEEE.

Yee Hui, L. E. E., Dong, F., & Meng, Y. S. (2014). Near sea-surface mobile radiowave propagation at 5 GHz: measurements and modeling. Radioengineering, 23(3), 824-830.

Zhou, M. T., Jurianto, J., Pathmasuntharam, J. S., & Fujise, M. (2006, November). Characterization of radio path loss in seaport environment for WiMAX applications. In Proceeding of International Symposium on Antennas and Propagation (ISAP 2006), (1-4).

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Published

2019-01-23

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Articles