Learning using LTE RSRP and NARNET in the Same Indoor Area

In the era of the fourth industrial revolution, wireless communication technologies such as 5G are being studied. The long term evolution (LTE) is a 4G mobile communication technology, and it is still important for the development of wireless communication technology because it is currently in operation in various countries. The development of artificial intelligence (AI) such as machine learning (ML) and deep learning (DL) is being studied rapidly in the fourth industrial era. In this study, we measure the reference signal receive power (RSRP) from LTE networks at same location on different days at the same time. A measured RSRP data are analyzed with a statistic amplitude probability distribution (APD). We learn an artificial intelligence neural networks using measurement RSRP data and the results are analyzed. As a result, we confirmed the possibility of using AI in radio wave propagation.