Path Loss Prediction for Some GSM Networks for Akwa Ibom State, Nigeria

Path Loss Prediction for Some GSM Networks for Akwa Ibom State, Nigeria

Michael U. Onuu

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Emem M. Usanga

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University of Uyo

Path Loss Prediction for Some GSM Networks for Akwa Ibom State, Nigeria

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Abstract

Path loss prediction for some Global System of Mobile Communication (GSM) networks for Akwa Ibom State in the Federal Republic of Nigeria was undertaken in this study in order to obtain a suitable path loss model for path loss prediction for the State. Received Signal Strength (RSS) and path loss were obtained from MTN and GLO base stations (networks) located in Uyo, Eket, Ikot-Ekpene, Onna, Etinan and Oruk-Anam which are some major towns in Akwa Ibom State. Path loss plots from theoretical models and experimental data against Basic Transceiver System (BTS), mobile device distance, gave positive linear relationships resulting in the proposed path loss model for Akwa Ibom State. Comparative analysis of Mean Square Error (MSE) obtained showed Hata model to be the most reliable and suitable path loss prediction model for Akwa Ibom State. The MSE value for each town was 5.9dB, 4.09dB, 5.93dB and 4.03dB for Uyo, Eket, Onna and Etinan, respectively. It was found that Egli model with MSE value of 5.97dB is suitable for path loss prediction in Ikot-Ekpene due to its irregular terrain.

References

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Michael U. Onuu. 2017. \u201cPath Loss Prediction for Some GSM Networks for Akwa Ibom State, Nigeria\u201d. Global Journal of Research in Engineering - D: Aerospace Science GJRE-D Volume 17 (GJRE Volume 17 Issue D2): .

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GJRE Volume 17 Issue D2
Pg. 15- 27

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords

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Classification

GJRE-D Classification: FOR Code: 290299

Submission ReceivedDecember 13, 2016
Peer Review Double Blind
Handling Editor
Accepted January 5, 2017
Published January 15, 2017

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v1.2

Issue date

December 27, 2017

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Article Matrices

Total Score: 102

Country: Nigeria

Subject: Global Journal of Research in Engineering - D: Aerospace Science

Authors: Michael U. Onuu, Emem M. Usanga (PhD/Dr. count: 0)

View Count (all-time): 230

Total Views (Real + Logic): 3505

Total Downloads (simulated): 1700

Publish Date: 2017 12, Wed

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Total Views: 3505

Total Downloads: 1700

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