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Abstract

This paper presents estimation of 28 GHz band wave propagation using machine learning. Electromagnetic waves in millimeter wave (mmWave) band, such as 28 and 39 GHz, are used for 5G communications. Because electromagnetic waves in the mmWave band are affected by obstructions, estimation of radio propagation is necessary. In this study, we use machine learning to estimate the wave propagation of electromagnetic waves in the 28 GHz band in order to estimate the effect of obstacles. The analytical model and results obtained by the ray tracing method was used as the training data for the machine learning. The results obtained by the convolutional neural network yielded good estimates. Its coefficient of determination was 0.91.

Keywords

Machine learning mmWave wave propagation ray tracing method

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Estimation of 28 GHz Band Wave Propagation using Machine Learning

Abstract

Keywords

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References