2021
DOI: 10.1186/s44147-021-00035-7
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Terrain-based adaption of propagation model loss parameters using non-linear square regression

Abstract: Reliable and real-time propagation loss modeling play a significant role in the efficient planning, development, and optimization of macrocellular communication networks in a given terrain. Thus, the need to adapt or tune an existing model to enhance its signal prediction accuracy in a specified terrain becomes imperative. In this paper, we proposed and applied a non-linear square regression method based on the Levenberg-Marquart (LM) algorithm to adapt and improve the empirical propagation loss estimation acc… Show more

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Cited by 17 publications
(14 citation statements)
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“…The mean absolute error (MAE) [ 39 ] given in (5), the normalized mean squared error (NRMSE) given in (6), the coefficient of determination (Rsq) given in (7), and the percentage error (PE) are the five key evaluation metrics used in this paper to examine the performance of the RF-LS-BPT method. The proposed method is better if the MAE and NRMSE values are low but have higher Rsq values.…”
Section: The Proposed Machine-learning-based Boosted Regression Ensem...mentioning
confidence: 99%
“…The mean absolute error (MAE) [ 39 ] given in (5), the normalized mean squared error (NRMSE) given in (6), the coefficient of determination (Rsq) given in (7), and the percentage error (PE) are the five key evaluation metrics used in this paper to examine the performance of the RF-LS-BPT method. The proposed method is better if the MAE and NRMSE values are low but have higher Rsq values.…”
Section: The Proposed Machine-learning-based Boosted Regression Ensem...mentioning
confidence: 99%
“…Generally, all propagated radio wave and microwave attenuation modelling is implemented using long-distance models [5,13]. Thus, the computational semi-empirically based models employed in this paper, as revealed in Equations ( 5)-( 22), are mainly long-distance models, in the form of the expression in ( 23):…”
Section: The Computational Complexity Of the Proposed Frameworkmentioning
confidence: 99%
“…Some obstacles include atmospheric gases, cloud, snow, rain, trees, houses, etc. The resultant effects of these natural and manmade blockades are high attenuation, slow/fast deterioration and steady losses in the intensities of the transmitted waves in space [5][6][7][8]. For example, slow fluctuations occur due to atmospheric precipitation particles, particularly rain water droplets, which often absorb, disperse, and scatter the amplitude and energy of transmitted electromagnetic signals in the Earth-satellite and terrestrial communication links [9][10][11].…”
Section: Introductionmentioning
confidence: 99%
“…Radio propagation measurements of key performance indicators (KPI) in a typical wireless communication network are critical to assessing the quality of service (QoS) of a functional wireless network [1] , [2] , [3] . It is pretty challenging to obtain all measurements parameters with complete details in practice [4] .…”
Section: Data Descriptionmentioning
confidence: 99%