Effect of membership functions and data size on the performance of ANFIS-based model for predicting path losses in the VHF and UHF bands
Joint Authors
Adetiba, Emmanuel
Bakinde, N. T. Surajudeen
Faruq, Nasir
Abd al-Karim, Abu Bakr
Oloyede, Abd al-Karim A.
Olawoyin, Lukman A.
Popoola, Segun I.
Sowande, Olugbenga
Source
Journal of Engineering Research
Issue
Vol. 10, Issue 1 A (31 Mar. 2022), pp.203-226, 24 p.
Publisher
Kuwait University Academic Publication Council
Publication Date
2022-03-31
Country of Publication
Kuwait
No. of Pages
24
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Abstract EN
This paper investigates the effect of number and shape of membership function (MF) and training data size on the performance of ANFIS model for predicting path losses in the VHF and UHF bands in built-up environments.
Path loss propagation measurements were conducted in four cities of Nigeria over the cellular and broadcasting frequencies.
A total of 17 broadcast transmission and cellular base stations were utilized for this study.
From the results obtained, it can be concluded for the broadcasting bands that the generalized bell MF shows better performance with an average RMSE of 3.00 dB across all the routes, followed by gaussian, Pi, trapezoid, and triangular MFs in that order with average RMSE values of 3.09 dB, 3.11 dB, 3.16 dB, and 3.23 dB, respectively.
For the cellular systems, triangular MF outperformed other MFs with the lowest average RMSE.
The generalized bell MF was found to be suited for WCDMA band, while triangular MF is most suited for GSM band.
Furthermore, it can also be concluded that the higher the number of membership functions, the lower the RMSE, whereas a decrease in the data size leads to a reduction in the RMSE values.
The findings of this study would help researchers and network planners make a more informed decision on choosing appropriate system parameters when modeling ANFIS models for path loss prediction.
American Psychological Association (APA)
Bakinde, N. T. Surajudeen& Faruq, Nasir& Abd al-Karim, Abu Bakr& Oloyede, Abd al-Karim A.& Olawoyin, Lukman A.& Popoola, Segun I.…[et al.]. 2022. Effect of membership functions and data size on the performance of ANFIS-based model for predicting path losses in the VHF and UHF bands. Journal of Engineering Research،Vol. 10, no. 1 A, pp.203-226.
https://search.emarefa.net/detail/BIM-1495119
Modern Language Association (MLA)
Bakinde, N. T. Surajudeen…[et al.]. Effect of membership functions and data size on the performance of ANFIS-based model for predicting path losses in the VHF and UHF bands. Journal of Engineering Research Vol. 10, no. 1 A (Mar. 2022), pp.203-226.
https://search.emarefa.net/detail/BIM-1495119
American Medical Association (AMA)
Bakinde, N. T. Surajudeen& Faruq, Nasir& Abd al-Karim, Abu Bakr& Oloyede, Abd al-Karim A.& Olawoyin, Lukman A.& Popoola, Segun I.…[et al.]. Effect of membership functions and data size on the performance of ANFIS-based model for predicting path losses in the VHF and UHF bands. Journal of Engineering Research. 2022. Vol. 10, no. 1 A, pp.203-226.
https://search.emarefa.net/detail/BIM-1495119
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 223-226
Record ID
BIM-1495119