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Development of a modified propagation model of a wireless mobile communication system in a 4G network

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 13 No. 6 (2023)

DOI
10.11591/ijece.v13i6.pp6489-6500
ISSN
2722-2578, 2088-8708
Published
2023-12-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Pathloss is a key element that causes signal deterioration in the channel as the signal power reduces inversely with propagation distance, this deterioration experienced by the channel is majorly as a result of reflection, absorption, and scattering of the signal. This study however takes into consideration the radio path loss for precise base station (BS), frequency, and power adjustment prediction evaluated over a frequency of 2.3 GHz. With a distance range between 0.1 and 1.5 km for collection of data on the measured received signal strength (MRSS), five empirical models and a modified model were used to validate the measured data to determine their suitability for pathloss prediction at Federal University of Technology, Owerri (FUTO), Imo state, Nigeria. The results shows that the root mean square error (RMSE) for the Okumura-Hata, COST 231-Hata, Ericsson model, Lee, Stanford University Interim (SUI), ECC-33, and modified models are 14.33, 9.73, 25.79, 48.4, 33.76, and 8.31 dB respectively. Additionally, the Ericsson model provided 0.498 dB, the COST 231-Hata recorded 0.733 dB, and the modified model provided 0.453 dB for mean absolute percentage error (MAPE). Therefore, the improved model produces the best results, consequently, be deployed to approximately predict path loss for mobile radio coverage in Owerri, Nigeria.

Collaboration network of the authors

17 authors · 48 co-authorship links · 34 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Abiola Ajimobi Technical University Ibadan
  • Ajayi Crowther University
  • Federal University of Technology
  • University of Zululand
  • Universidad de Extremadura
  • Walter Sisulu University
  • Hindustan Institute of Technology and Science
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Mayowa O. OyediranAjayi Crowther University2
Olufemi S. OjoAjayi Crowther University2
Olukayode AiyenikoLagos State University2
Princewill Chima ObuzorUniversity of Salford2
Ismaheel Oyeyemi OladejoAffiliation unknown2
RAZAAQ ADETUTUAffiliation unknown2
Timothy O. MathewThe Federal Polytechnic Ilaro2
Romil RawatUniversidad de Extremadura1
Olukayode Ayodele OkiWalter Sisulu University1
K. Sakthidasan SankaranHindustan Institute of Technology and Science1
Héctor FlórezUniversidad Distrital Francisco José de Caldas1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Development of a modified propagation model of a wireless mobile communication system in a 4G network</dc:title><dc:creator>Olukunle, Akande Akinyinka</dc:creator><dc:creator>Kunle, Akinde Olusola</dc:creator><dc:creator>Joel, Odeyinka Oluwadara</dc:creator><dc:creator>Okikiade, Ilori Abolaji</dc:creator><dc:creator>Olusegun, Adigun Matthew</dc:creator><dc:creator>Adeola, Ajagbe Sunday</dc:creator><dc:description>&lt;jats:p&gt;&amp;lt;span lang="EN-US"&amp;gt;Pathloss is a key element that causes signal deterioration in the channel as the signal power reduces inversely with propagation distance, this deterioration experienced by the channel is majorly as a result of reflection, absorption, and scattering of the signal. This study however takes into consideration the radio path loss for precise base station (BS), frequency, and power adjustment prediction evaluated over a frequency of 2.3 GHz. With a distance range between 0.1 and 1.5 km for collection of data on the measured received signal strength (MRSS), five empirical models and a modified model were used to validate the measured data to determine their suitability for pathloss prediction at Federal University of Technology, Owerri (FUTO), Imo state, Nigeria. The results shows that the root mean square error (RMSE) for the Okumura-Hata, COST 231-Hata, Ericsson model, Lee, Stanford University Interim (SUI), ECC-33, and modified models are 14.33, 9.73, 25.79, 48.4, 33.76, and 8.31 dB respectively. Additionally, the Ericsson model provided 0.498 dB, the COST 231-Hata recorded 0.733 dB, and the modified model provided 0.453 dB for mean absolute percentage error (MAPE). Therefore, the improved model produces the best results, consequently, be deployed to approximately predict path loss for mobile radio coverage in Owerri, Nigeria.&amp;lt;/span&amp;gt;&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2023-12-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v13i6.pp6489-6500</dc:identifier><dc:identifier>10.11591/ijece.v13i6.pp6489-6500</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 13 No 6 (2023); 6489</dc:source><dc:source>2722-2578</dc:source><dc:source>2088-8708</dc:source><dc:relation>https://ijece.iaescore.com/index.php/IJECE/article/viewFile/30823/16974</dc:relation><dc:rights>http://creativecommons.org/licenses/by-sa/4.0</dc:rights></oai_dc:dc>