Comparative Study of RMSE and Functional Composition of Residual - Based Tuning of Hata Pathloss Model in the Suburban Area

Wali Samuel; Nwiido Friday; Udoka Uduak Etim

doi:doi:10.11648/j.ijssam.20170201.14

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Comparative Study of RMSE and Functional Composition of Residual - Based Tuning of Hata Pathloss Model in the Suburban Area

Wali Samuel, Nwiido Friday, Udoka Uduak Etim

Published in International Journal of Systems Science and Applied Mathematics (Volume 2, Issue 1)

Received: 16 October 2016 Accepted: 4 January 2017 Published: 29 January 2017

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Abstract

In this paper, RMSE and functional composition of residual are used as correction factors for tuning Hata model in the suburban area and 800-900MHz GSM frequency band. The study is based on empirical measurements conducted at Abak town, a suburban area in Akwa Ibom state, Nigeria. The tuned model is obtained by adding the correction factor to the original Hata pathloss model for the suburban area. The results showed that the functional composition of residual - based tuning approach has better prediction performance when compared with the RMSE-based tuning approach. Particularly, when the functional composition tuning approach is employed Hata model has the lowest RMSE value of 4.47, the highest prediction accuracy of 97.19% and the highest competitive success rate of 64.29%. On the other hand, the RMSE-tuned Hata model has a higher RMSE value of 7.03, lower prediction accuracy of 96.19% and the lower competitive success rate of 35.71%.

Published in	International Journal of Systems Science and Applied Mathematics (Volume 2, Issue 1)
DOI	10.11648/j.ijssam.20170201.14
Page(s)	30-35
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), 2017. Published by Science Publishing Group

Keywords

Pathloss, Empirical Model, Functional Composition, Residual, Prediction Accuracy, Competitive Success Rate, Hata Model

References

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APA Style

Wali Samuel, Nwiido Friday, Udoka Uduak Etim. (2017). Comparative Study of RMSE and Functional Composition of Residual - Based Tuning of Hata Pathloss Model in the Suburban Area. International Journal of Systems Science and Applied Mathematics, 2(1), 30-35. https://doi.org/10.11648/j.ijssam.20170201.14

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ACS Style

Wali Samuel; Nwiido Friday; Udoka Uduak Etim. Comparative Study of RMSE and Functional Composition of Residual - Based Tuning of Hata Pathloss Model in the Suburban Area. Int. J. Syst. Sci. Appl. Math. 2017, 2(1), 30-35. doi: 10.11648/j.ijssam.20170201.14

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AMA Style

Wali Samuel, Nwiido Friday, Udoka Uduak Etim. Comparative Study of RMSE and Functional Composition of Residual - Based Tuning of Hata Pathloss Model in the Suburban Area. Int J Syst Sci Appl Math. 2017;2(1):30-35. doi: 10.11648/j.ijssam.20170201.14

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@article{10.11648/j.ijssam.20170201.14,
  author = {Wali Samuel and Nwiido Friday and Udoka Uduak Etim},
  title = {Comparative Study of RMSE and Functional Composition of Residual - Based Tuning of Hata Pathloss Model in the Suburban Area},
  journal = {International Journal of Systems Science and Applied Mathematics},
  volume = {2},
  number = {1},
  pages = {30-35},
  doi = {10.11648/j.ijssam.20170201.14},
  url = {https://doi.org/10.11648/j.ijssam.20170201.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijssam.20170201.14},
  abstract = {In this paper, RMSE and functional composition of residual are used as correction factors for tuning Hata model in the suburban area and 800-900MHz GSM frequency band. The study is based on empirical measurements conducted at Abak town, a suburban area in Akwa Ibom state, Nigeria. The tuned model is obtained by adding the correction factor to the original Hata pathloss model for the suburban area. The results showed that the functional composition of residual - based tuning approach has better prediction performance when compared with the RMSE-based tuning approach. Particularly, when the functional composition tuning approach is employed Hata model has the lowest RMSE value of 4.47, the highest prediction accuracy of 97.19% and the highest competitive success rate of 64.29%. On the other hand, the RMSE-tuned Hata model has a higher RMSE value of 7.03, lower prediction accuracy of 96.19% and the lower competitive success rate of 35.71%.},
 year = {2017}
}

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TY  - JOUR
T1  - Comparative Study of RMSE and Functional Composition of Residual - Based Tuning of Hata Pathloss Model in the Suburban Area
AU  - Wali Samuel
AU  - Nwiido Friday
AU  - Udoka Uduak Etim
Y1  - 2017/01/29
PY  - 2017
N1  - https://doi.org/10.11648/j.ijssam.20170201.14
DO  - 10.11648/j.ijssam.20170201.14
T2  - International Journal of Systems Science and Applied Mathematics
JF  - International Journal of Systems Science and Applied Mathematics
JO  - International Journal of Systems Science and Applied Mathematics
SP  - 30
EP  - 35
PB  - Science Publishing Group
SN  - 2575-5803
UR  - https://doi.org/10.11648/j.ijssam.20170201.14
AB  - In this paper, RMSE and functional composition of residual are used as correction factors for tuning Hata model in the suburban area and 800-900MHz GSM frequency band. The study is based on empirical measurements conducted at Abak town, a suburban area in Akwa Ibom state, Nigeria. The tuned model is obtained by adding the correction factor to the original Hata pathloss model for the suburban area. The results showed that the functional composition of residual - based tuning approach has better prediction performance when compared with the RMSE-based tuning approach. Particularly, when the functional composition tuning approach is employed Hata model has the lowest RMSE value of 4.47, the highest prediction accuracy of 97.19% and the highest competitive success rate of 64.29%. On the other hand, the RMSE-tuned Hata model has a higher RMSE value of 7.03, lower prediction accuracy of 96.19% and the lower competitive success rate of 35.71%.
VL  - 2
IS  - 1
ER  -

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Author Information

Wali Samuel

Department of Electrical/Electronic and Computer Engineering, University of Uyo, Uyo Nigeria
Nwiido Friday

Department of Electrical/Electronic and Computer Engineering, University of Uyo, Uyo Nigeria
Udoka Uduak Etim

Department of Electrical/Electronic and Computer Engineering, University of Uyo, Uyo Nigeria

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Plain Text BibTeX RIS

APA Style

Wali Samuel, Nwiido Friday, Udoka Uduak Etim. (2017). Comparative Study of RMSE and Functional Composition of Residual - Based Tuning of Hata Pathloss Model in the Suburban Area. International Journal of Systems Science and Applied Mathematics, 2(1), 30-35. https://doi.org/10.11648/j.ijssam.20170201.14

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ACS Style

Wali Samuel; Nwiido Friday; Udoka Uduak Etim. Comparative Study of RMSE and Functional Composition of Residual - Based Tuning of Hata Pathloss Model in the Suburban Area. Int. J. Syst. Sci. Appl. Math. 2017, 2(1), 30-35. doi: 10.11648/j.ijssam.20170201.14

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AMA Style

Wali Samuel, Nwiido Friday, Udoka Uduak Etim. Comparative Study of RMSE and Functional Composition of Residual - Based Tuning of Hata Pathloss Model in the Suburban Area. Int J Syst Sci Appl Math. 2017;2(1):30-35. doi: 10.11648/j.ijssam.20170201.14

Copy | Download

@article{10.11648/j.ijssam.20170201.14,
  author = {Wali Samuel and Nwiido Friday and Udoka Uduak Etim},
  title = {Comparative Study of RMSE and Functional Composition of Residual - Based Tuning of Hata Pathloss Model in the Suburban Area},
  journal = {International Journal of Systems Science and Applied Mathematics},
  volume = {2},
  number = {1},
  pages = {30-35},
  doi = {10.11648/j.ijssam.20170201.14},
  url = {https://doi.org/10.11648/j.ijssam.20170201.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijssam.20170201.14},
  abstract = {In this paper, RMSE and functional composition of residual are used as correction factors for tuning Hata model in the suburban area and 800-900MHz GSM frequency band. The study is based on empirical measurements conducted at Abak town, a suburban area in Akwa Ibom state, Nigeria. The tuned model is obtained by adding the correction factor to the original Hata pathloss model for the suburban area. The results showed that the functional composition of residual - based tuning approach has better prediction performance when compared with the RMSE-based tuning approach. Particularly, when the functional composition tuning approach is employed Hata model has the lowest RMSE value of 4.47, the highest prediction accuracy of 97.19% and the highest competitive success rate of 64.29%. On the other hand, the RMSE-tuned Hata model has a higher RMSE value of 7.03, lower prediction accuracy of 96.19% and the lower competitive success rate of 35.71%.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Comparative Study of RMSE and Functional Composition of Residual - Based Tuning of Hata Pathloss Model in the Suburban Area
AU  - Wali Samuel
AU  - Nwiido Friday
AU  - Udoka Uduak Etim
Y1  - 2017/01/29
PY  - 2017
N1  - https://doi.org/10.11648/j.ijssam.20170201.14
DO  - 10.11648/j.ijssam.20170201.14
T2  - International Journal of Systems Science and Applied Mathematics
JF  - International Journal of Systems Science and Applied Mathematics
JO  - International Journal of Systems Science and Applied Mathematics
SP  - 30
EP  - 35
PB  - Science Publishing Group
SN  - 2575-5803
UR  - https://doi.org/10.11648/j.ijssam.20170201.14
AB  - In this paper, RMSE and functional composition of residual are used as correction factors for tuning Hata model in the suburban area and 800-900MHz GSM frequency band. The study is based on empirical measurements conducted at Abak town, a suburban area in Akwa Ibom state, Nigeria. The tuned model is obtained by adding the correction factor to the original Hata pathloss model for the suburban area. The results showed that the functional composition of residual - based tuning approach has better prediction performance when compared with the RMSE-based tuning approach. Particularly, when the functional composition tuning approach is employed Hata model has the lowest RMSE value of 4.47, the highest prediction accuracy of 97.19% and the highest competitive success rate of 64.29%. On the other hand, the RMSE-tuned Hata model has a higher RMSE value of 7.03, lower prediction accuracy of 96.19% and the lower competitive success rate of 35.71%.
VL  - 2
IS  - 1
ER  -

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