Path Loss Measurement and Modeling for Lagos State G.S.M Environments

Shoewu, O.; Salau, N O; Ogunlewe, A O; Oborkhale, Lawrence

doi:10.18488/journal.76/2016.3.4/76.4.69.81

Cited by 4 publications

(1 citation statement)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…RMSE is the sum of the error squares or the difference between the actual value and the predicted value, then divides the amount by the amount of time forecast data and then draws its roots, or can be formulated as [23], [31].…”

Section: Evaluation Of the Existing Propagation Modelmentioning

confidence: 99%

Path Loss Propagation Evaluation and Modelling based ECC-Model in Lowland Area on 1800 MHz Frequency

Alfaresi

Barlian

Ardianto

et al. 2020

jrc

View full text Add to dashboard Cite

Propagation modeling is the most important part of mobile wireless network planning. Wireless network planning requires an accurate calculation of the path, which depends on different environmental conditions. It requires accurate path loss modeling of the characteristics of a specific region. The study aimed to obtain a path loss propagation model by modifying the ECC model and using linear, logarithmic regression in lowland areas. The measurement used drive test method, located in the Jakabaring area that represented the lowland area. This research used four existing path loss models, namely Okumura-Hatta, COST-Hatta, Ericsson Model, and ECC Model. It was found that the Okumura-Hatta model had the largest RMSE value, 34.90, followed by the Ericsson model, 27.07, while the ECC model had the smallest RMSE value, 8.43. The ECC model required to be modified using logarithmic, linear regression to obtain the proposed model. The results of the evaluation showed that the proposed model improved with RMSE 4.93, MAPE 2.71, and MAD 3.91, whereas the values of the existing ECC Model before modification were 8.43 for RMSE, 4.72 for MAPE and 7.09 for MAD. The proposed model provided an accurate prediction of the path loss propagation in a lowland environment. The results of the study can be used for planning engineers to plan, design, and implement the wireless communication networks in lowland area conditions.

show abstract

Section: Evaluation Of the Existing Propagation Modelmentioning

confidence: 99%