Predicting The Path Loss at the Receiver for 4G Communications 2600MHz Using Mathematical Model in Amara City

The prediction of radio propagation refers to predicting the behavior of radio signals that travel from one point to another in a vacuum or atmosphere. Since radio signals are a form of electromagnetic waves, they are subjected to various phenomena such as reflection, diffraction, refraction, absorption, scattering, and polarization. It’s important to predict path loss using radio propagation prediction models to calculate the signal strength at the receiver. This study proposes a mathematical propagation model that predicts the path loss at the receiver. The study covered four different location zones within Amara city/ Misan governorate / Iraq. The data for this study was collected using the Drive Test feature of the TEMS phone, which was connected to the TEMS investigation tool. Based on the results obtained from several empirical propagation models, it was found that the proposed model provided a better match for the data on the measured signal strength. This model showed root mean square error RMSE less than other models, at mobile antenna heights of 1.0 m and distances $40,200,400$, and 600 meters between transmitter and receiver. Other propagation models such as Hata and COST231, which had over-predicted the radio channel, may need further investigation in the future.

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Published
2024-11-02
DOI
https://doi.org/10.1109/issatk62463.2024.10808494
Primary Topic
Advanced MIMO Systems Optimization
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article
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article

Predicting The Path Loss at the Receiver for 4G Communications 2600MHz Using Mathematical Model in Amara City

Hasanain Abbas Hasan, Nabaa Ali Abdullrazaq
Advanced MIMO Systems Optimization
article

Predicting The Path Loss at the Receiver for 4G Communications 2600MHz Using Mathematical Model in Amara City

Hasanain Abbas Hasan, Nabaa Ali Abdullrazaq
article en

Abstract

The prediction of radio propagation refers to predicting the behavior of radio signals that travel from one point to another in a vacuum or atmosphere. Since radio signals are a form of electromagnetic waves, they are subjected to various phenomena such as reflection, diffraction, refraction, absorption, scattering, and polarization. It’s important to predict path loss using radio propagation prediction models to calculate the signal strength at the receiver. This study proposes a mathematical propagation model that predicts the path loss at the receiver. The study covered four different location zones within Amara city/ Misan governorate / Iraq. The data for this study was collected using the Drive Test feature of the TEMS phone, which was connected to the TEMS investigation tool. Based on the results obtained from several empirical propagation models, it was found that the proposed model provided a better match for the data on the measured signal strength. This model showed root mean square error RMSE less than other models, at mobile antenna heights of 1.0 m and distances $40,200,400$, and 600 meters between transmitter and receiver. Other propagation models such as Hata and COST231, which had over-predicted the radio channel, may need further investigation in the future.

University of Misan (IQ)
Openalex Percentile: Top 78%
Advanced MIMO Systems Optimization
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Predicting The Path Loss at the Receiver for 4G Communications 2600MHz Using Mathematical Model in Amara City — Hasanain Abbas Hasan, Nabaa Ali Abdullrazaq · (2024) | TGRS Research Map | TGRS