Science Journal of Circuits, Systems and Signal Processing
Volume 7, Issue 1, March 2018, Pages: 20-27
Received: Nov. 30, 2017;
Accepted: Dec. 9, 2017;
Published: Jan. 11, 2018
Views 1122 Downloads 72
Ibrahim Mohamed, Electrical and Electronic Department, Faculty of Engineering, Omar Al-Mukhtar University, Al-Beida, Libya
In cellular networks, accurate path-loss estimation is highly desirable not only to improve the performance but also to realize precise estimation of financial feasibility. In other words, while accurate path-loss estimation helps to achieve an acceptable performance and reasonable cost, inaccurate path-loss estimation would either lead to degrade the performance, or increase the cost. Different models were introduced in the literature for achieving accurate path-loss estimation. One of theses models is the Okumura/Hata model which is recommended for being used to estimate the path-loss in the cellular systems that employing micro-cells. It is characterized by its suitability for being used in a variety of environments. The main objective in this paper is to provide a guide line for path-loss estimation analysis using Okumura/Hata model. Matlab software was used to perform this analysis. Compared with free space model in which frequency and separation distance are the only contributors for path-loss, more accurate estimation can be achieved when Okumura/Hata model is used as it includes further correction factors, such as mobile station antenna height and base station antenna height.
Path-Loss Estimation for Wireless Cellular Networks Using Okumura/Hata Model, Science Journal of Circuits, Systems and Signal Processing.
Vol. 7, No. 1,
2018, pp. 20-27.
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Jochen H. Schiller, Mobile Communications, PEARSON EDUCATION LIMITED, 2003
Andrea Goldsmith, WIRELESS COMMUNICATIONS, Cambridge University Press, 2005
Yoo-Seung Song and Hyun-Kyun Choi, Analysis of V2V Broadcast Performance Limit for WAVE Communication Systems Using Two-Ray Path Loss Model, ETRI Journal, Volume 39, Number 2, pp 213-221, April 2017
Divya Kurup, Maria Scarpello, Günter Vermeeren, Wout Joseph, Kristof Dhaenens, Fabrice Axisa, Luc Martens, Dries Vande Ginste, Hendrik Rogier, Jan Vanfleteren, In-body path loss models for implants in heterogeneous human tissues using implantable slot dipole conformal flexible antennas, EURASIP Journal on Wireless Communications and Networking 2011
Haipeng Ding, Zhengyuan Xu, Brian M. Sadler, A Path Loss Model for Non-Line-of-Sight UltravioletMultiple Scattering Channels, EURASIP Journal onWireless Communications and Networking Volume 2010, Article ID 598572, 12 pages
Mario Versaci, Salvatore Calcagno, Fabio La Foresta, Biagio Cammaroto, PATH LOSS PREDICTION USING FUZZY INFERENCE SYSTEM AND ELLIPSOIDAL RULES, American Journal of Applied Sciences, Science Publication, 2012, 9 (12), 1940-1943
A. Bhuvaneshwari, R. Hemalatha, T. Satyasavithri, Semi Deterministic Hybrid model for Path Loss prediction improvement, 2nd International Conference on Intelligent Computing, Communication & Convergence (ICCC-2016), pp-336–344
Yun-Jie Xu, Wen-Bin Li, Propagation path loss prediction model of multi-sensor network in forest, Advanced in Control Engineering and Information Science, pp-2206 – 2210, published by Elsevier, 2011
Vijay K. Garg, Wireless Communications and Networking, Elsevier, 2007
Kazunori Uchida; Naoto Hadano; Masafumi Takematsu; Junichi Honda, Propagation Estimation by Using Building Coverage and Floor Area Ratios Based on 1-Ray Model Combined with Okumura-Hata Mode, 17th International Conference on Network-Based Information Systems, 2014, pp: 555–560