Assessment of Path Loss Prediction Models for Wireless Propagation Channels at L-Band Frequency over Different Micro-Cellular Environments of Ekiti State, Southwestern Nigeria
The design of accurate and reliable mobile communication systems depends majorly on the suitability of path loss prediction methods and the adaptability of the methods to various environments of interest. In this research, the results of the adaptability of radio channel behavior are presented based on practical measurements carried out in the 1800 MHz frequency band. The measurements are carried out in typical urban, suburban and rural environments in Ekiti State, Southwestern part of Nigeria. A total number of seven base stations of MTN GSM service located in the studied environments were monitored. Path loss and break point distances were deduced from the measured received signal strength (RSS) and a practical path loss model is proposed based on the deduced break point distances. The proposed two slope model, regression line and four existing path loss models were compared with the measured path loss values. The standard deviations of each model with respect to the measured path loss were estimated for each base station. The proposed model and regression line exhibited lowest standard deviations followed by the Cost231-Hata model when compared with the Erceg Ericsson and SUI models. Generally, the proposed two-slope model shows closest agreement with the measured values with a mean error values of 2 to 6 dB. These results show that, either the proposed two slope model or Cost 231-Hata model may be used to predict path loss values in mobile micro cell coverage in the well-considered environments. Information from this work will be useful for link design of microwave band wireless access systems in the region.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1316153Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 432
 Azibikwe. C and Obiefuna. O. (2014). “Wireless Communication: The Impact of Gsm on the Economic Lives of the Nigerian, Rural Users,” Journal of Educational and Social Research, Vol 4, No 7, pp. 79-87.
 Ojo J.S, Adekunle A.A and Falodun S.E. “Investigation of Path loss of Mobile Radio Service at L-band Frequency over Akure, South western Nigeria.” IOSR Journal of Electronics and Communication Engineering (IOSR-JECE) Volume 9, Issue 2, Ver.1 Apr. (Mar-April, 2014).
 Rappaport, T. S. (2002). “Wireless communications: Principles and practice,” Prentice Hall communications engineering and emerging technologies series. Upper Saddle River, NJ: Prentice Hall PTR. pp. 90-110.
 Zia Nadir and Mohammed Bait-Suwailam. “Path Loss Analysis at 900MHz for Outdoor Environment,” Proceedings of the 2014 International Conference on Communications, Signal Processing and Computers.
 Erceg V, Tjandra S.Y, Parkoff S.R, Gupta A, Kulie B, Julius A.A, Bianchi R. (1999). “An Empirically Based Path loss Model for Wireless Channels in Suburban Environment,’’ IEE Journal on Selected Areas in Communications. Vol. 17, No 7. July 1999.
 Fengyu Luan, Yan Zhang, Limin Xiao, Chunhui Zhou, and Shidong Zhou. (2013), “Fading Characteristics of Wireless Channel in Hilly Terrain Scenario,’’ Hindawi Publishing Corporation, national Journal of Antennas and Propagation Vol. 2013, Article ID 378407, 9 pages.
 Turkka J. Ranfors M. “Path loss Measurements for a Non-line –of-sight Mobile-Mobile-Environment,’’ Proceedings of the International Conference on Intelligent Transport System Telecommunications, Phuket, Thailand, October, 22-24 2008.
 Vishal Gupta, Sharma S.C, Bensal M.C. “Fringe Area Loss Correction Factor for Wireless Communication.’’ International Journal of Recent Trend in Engineering Vol. 1, No.2, May, 2009.
 S.R Saunders. “Antenna and Propagation for wireless propagation Systems,’’ John Wiley and sons, 2005, chapter 9, pp. 180-200.
 Akinyemi P. “Optimization of Path Loss Model for Macro-Cellular Network Applications in Selected State in Nigeria,’’ Ph.D Dissertation, 2016 June chapter 3, pp. 97-100. Department of Physics, University of Benin, Benin City Edo State Nigeria.