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Path-Loss Estimation for Wireless Cellular Networks Using Okumura/Hata Model

Received: 30 November 2017    Accepted: 9 December 2017    Published: 11 January 2018
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Abstract

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.

Published in Science Journal of Circuits, Systems and Signal Processing (Volume 7, Issue 1)
DOI 10.11648/j.cssp.20180701.13
Page(s) 20-27
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Cellular Networks (CNs), Path-Loss Estimation Models, Free Space Propagation Model, Okumura/Hata Model

References
[1] Jochen H. Schiller, Mobile Communications, PEARSON EDUCATION LIMITED, 2003
[2] Andrea Goldsmith, WIRELESS COMMUNICATIONS, Cambridge University Press, 2005
[3] 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
[4] 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
[5] 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
[6] 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
[7] 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
[8] 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
[9] Vijay K. Garg, Wireless Communications and Networking, Elsevier, 2007
[10] 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
Cite This Article
  • APA Style

    Ibrahim Mohamed. (2018). Path-Loss Estimation for Wireless Cellular Networks Using Okumura/Hata Model. Science Journal of Circuits, Systems and Signal Processing, 7(1), 20-27. https://doi.org/10.11648/j.cssp.20180701.13

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    ACS Style

    Ibrahim Mohamed. Path-Loss Estimation for Wireless Cellular Networks Using Okumura/Hata Model. Sci. J. Circuits Syst. Signal Process. 2018, 7(1), 20-27. doi: 10.11648/j.cssp.20180701.13

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    AMA Style

    Ibrahim Mohamed. Path-Loss Estimation for Wireless Cellular Networks Using Okumura/Hata Model. Sci J Circuits Syst Signal Process. 2018;7(1):20-27. doi: 10.11648/j.cssp.20180701.13

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  • @article{10.11648/j.cssp.20180701.13,
      author = {Ibrahim Mohamed},
      title = {Path-Loss Estimation for Wireless Cellular Networks Using Okumura/Hata Model},
      journal = {Science Journal of Circuits, Systems and Signal Processing},
      volume = {7},
      number = {1},
      pages = {20-27},
      doi = {10.11648/j.cssp.20180701.13},
      url = {https://doi.org/10.11648/j.cssp.20180701.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cssp.20180701.13},
      abstract = {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.},
     year = {2018}
    }
    

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  • TY  - JOUR
    T1  - Path-Loss Estimation for Wireless Cellular Networks Using Okumura/Hata Model
    AU  - Ibrahim Mohamed
    Y1  - 2018/01/11
    PY  - 2018
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    DO  - 10.11648/j.cssp.20180701.13
    T2  - Science Journal of Circuits, Systems and Signal Processing
    JF  - Science Journal of Circuits, Systems and Signal Processing
    JO  - Science Journal of Circuits, Systems and Signal Processing
    SP  - 20
    EP  - 27
    PB  - Science Publishing Group
    SN  - 2326-9073
    UR  - https://doi.org/10.11648/j.cssp.20180701.13
    AB  - 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.
    VL  - 7
    IS  - 1
    ER  - 

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Author Information
  • Electrical and Electronic Department, Faculty of Engineering, Omar Al-Mukhtar University, Al-Beida, Libya

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