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Modeling Environmental Effects on Electromagnetic Signal Propagation Using Multi-Layer Perceptron Artificial Neural Network


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DOI: https://doi.org/10.15866/irecap.v10i3.18135

Abstract


In this research work, the impact of environmental factors affecting electromagnetic signal propagation in microcell built-up area with residential and commercial buildings referred to as location-1 and rural area surrounded by mountains, tall trees and foliage referred to as location-2 have been studied and analyzed. The objective of this work is to investigate, analyze and discuss the effects of environmental factors on electromagnetic signal propagation in the two locations and their impact on electromagnetic signal during its propagation. Further objective of this work is modeling signal power losses in the two locations using Multi-Layer Perceptron Artificial Neural Network, using recorded errors from trained experimental data collected from Long Term Evolution network from each of the locations. 1st order statistical performance indices such as Root Mean Squared Error, Mean Absolute Error, Standard Deviation and Correlation Coefficient have been employed for error analysis. The results from Location-1 give minimal transmission errors, which show that radio frequency signal requires clear unobstructed transmission path. Results from location-2 demonstrate higher transmission error that can be attributed to multipath mechanism and fading phenomenon caused by the presence of mountains, tall trees and foliage. This prediction is very important for performance optimization of wireless networks during new network planning, design and upgrade especially in similar areas as location-2.
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Keywords


Electromagnetic Signal; Environment Effects; Fading Phenomenon; Signal Power Loss; Artificial Neural Network; Multi-Layer Perceptron

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References


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