Path Loss Modeling for Next Generation Wireless Network Using Fuzzy Logic - Spline Interpolation Technique

Appropriate path loss mathematical models help in reducing the complexity of the co-channel interference of Global System for Mobile Communication and Wireless Networks. This work proposes, to adopt and modify Hata model using fuzzy logic and spline interpolation techniques. Mean absolute errors of 1.55 dB and 0.4 dB were obtained using the techniques respectively. It was found that, using fuzzy logic - spline interpolation model, path loss is minimized by 1.94 dB in the study area. Therefore, fuzzy logic - spline interpolation is recommended for path loss prediction for next generation wireless networks in medium cities in Nigeria especially Yola. It is suggested that, neuro – fuzzy spline interpolation may be used to further minimize path loss error for medium cities.

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Methodologies for path loss prediction in LTE-1.8 GHz networks using neuro-fuzzy and ANN

2017 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC) ◽

10.1109/imoc.2017.8121127 ◽

2017 ◽

Cited By ~ 2

Author(s):

H. A. O. Cruz ◽

R. N. A. Nascimento ◽

J. P. L. Araujo ◽

E. G. Pelaes ◽

G. P. S. Cavalcante

Keyword(s):

Path Loss ◽

Neuro Fuzzy ◽

Loss Prediction ◽

Path Loss Prediction

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Selection and Optimization of Most Suitable Path Loss Prediction Model for Suburban City in Nigeria Using Spline Interpolation

Journal of Engineering Research and Reports ◽

10.9734/jerr/2018/v2i19900 ◽

2018 ◽

pp. 1-8

Author(s):

A. Danladi ◽

N. W. Silikwa ◽

K. G. Gaya ◽

A. H. Augustine

Keyword(s):

Spline Interpolation ◽

Mobile Station ◽

Path Loss ◽

Telecommunication Networks ◽

Network Resources ◽

Suburban Areas ◽

Loss Prediction ◽

Path Loss Prediction ◽

Base Transceiver Station ◽

Optimized Model

Path loss is an attenuation of Global System for Mobile Communication (GSM) signal between Base Transceiver Station (BTS) and Mobile Station (MS). Path loss helps network engineers in planning, designing and implementing telecommunication networks. This work examines the applicability of Hata, COST 231, ECC – 33, Ericsson and SUI models in a medium city (Mubi) in Adamawa State, Nigeria. Root mean square error (RMSE) between the measured and the predicted losses (output of the models) is obtained as 7.632dB, 14.736dB, 10.593dB, 0.639dB and 23.491dB respectively. Ericsson model is found to have the least RMSE. Therefore, it is selected as the best fit model and modified. Furthermore, the modified model is optimized to recover missing or to eliminate unwanted information in the radio path using spline interpolation. The optimized model can be employed for the deployment of network resources in suburban areas of Nigeria, especially in Mubi town in Adamawa State, in order to significantly enhance GSM signal QoS. It is recommended that fuzzy logic and spline interpolation techniques may be integrated and employed to further minimize the error obtained in this work.

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