A Quasi-Moment-Method-Based Calibration of Basic Pathloss Models

Authors

  • Michael Adedosu Adelabu Department of Electrical and Electronics Engineering, University of Lagos, Akoka, Lagos, Nigeria
  • Ayotunde Abimbola Ayorinde Department of Electrical and Electronics Engineering, University of Lagos, Akoka, Lagos, Nigeria
  • Hisham Abubakar Muhammed Department of Electrical and Electronics Engineering, University of Lagos, Akoka, Nigeria
  • Francis Olutinji Okewole Department of Electrical and Electronics Engineering, University of Lagos, Akoka, Lagos, Nigeria
  • Ike Mowete University of Lagos, Akoka, Lagos, Nigeria https://orcid.org/0000-0002-8335-6170

DOI:

https://doi.org/10.11113/elektrika.v19n3.232

Keywords:

pathloss model, Calibration, Moment-Method, Cross-application, ANFIS

Abstract

Using a technique similar to Harrington’s method of moments, this paper develops a very simple but remarkably efficient approach to the calibration of established (basic) mobile radio propagation pathloss models. First, the theoretical foundations of the process, here referred to as the ‘Quasi-Moment-Method (QMM)’, is succinctly presented. Thereafter, for validation purposes, pathloss predictions due to its use are compared with corresponding data reported in the open literature, for a model that derived from the application of the Adaptive Neuro-Fuzzy Inference System, ANFIS. Results of the comparisons reveal that the root-mean square error (RMSE) values for the QMM-models compare favorably with those reported for the more computationally involved ANFIS model; and that all the six QMM-calibrated models considered in the paper, provided better spread-correlated root-mean-square (SC-RMS) and standard deviation (SD) prediction errors. QMM cross-application prediction performance is also evaluated through comparisons with measurement data obtained by the authors, for the Nigerian cities of Ibadan and Abuja. Outcomes of the comparisons clearly show that the QMM cross- application performance, particularly for the calibrated ECC-33 models, may be described as excellent.

Author Biographies

Michael Adedosu Adelabu, Department of Electrical and Electronics Engineering, University of Lagos, Akoka, Lagos, Nigeria

Dr. Adelabu is a Senior Lectruer in Electrical Engineering at the University of Lagos, Akoka, Lagos, Nigeria.

Ayotunde Abimbola Ayorinde, Department of Electrical and Electronics Engineering, University of Lagos, Akoka, Lagos, Nigeria

Dr. Ayorinde, a Senior Lectruer in Electrical and Electronics Engineering, just completed a two-year term as Acting Head of Department.

Hisham Abubakar Muhammed, Department of Electrical and Electronics Engineering, University of Lagos, Akoka, Nigeria

Engr. Muhammed is a Lecruer in Electrica and Electronics Engineering at the University of Lagos, Akoka, Lagos, Nigeria

Francis Olutinji Okewole, Department of Electrical and Electronics Engineering, University of Lagos, Akoka, Lagos, Nigeria

Engr. Okewole is a Lectruer in Electrical and Elecronis Engineering at the University of Lagos, Akoka, Lagos, Nigeria

Ike Mowete, University of Lagos, Akoka, Lagos, Nigeria

Ike Mowete is a Professor of Engineering Elecromagnetics at the University of Lagos, where he has been teaching since 1984. His research interests include antennas and radiowave propagation, electromagnetic compstibility, and numerical methods for the solution of field problems

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Published

2020-12-25

How to Cite

Adelabu, M. A., Ayorinde, A. A., Muhammed, H. A., Okewole, F. O., & Mowete, I. (2020). A Quasi-Moment-Method-Based Calibration of Basic Pathloss Models. ELEKTRIKA- Journal of Electrical Engineering, 19(3), 35–48. https://doi.org/10.11113/elektrika.v19n3.232

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