Performance Comparison of LS and ML Methods for AoA Algorithm in 5G Cellular Networks

Abstract

In this study, the performance of the angle of arrival (AoA) method, which is one of the location estimation algorithms, in 5G cellular networks is investigated. Sensitive location information is obtained with the help of the mathematical algorithms generated by taking advantage of the arrival angle of the signals emitted from the ultra-dense cells. In the proposed system model, the performance comparison of the least squares (LS) and maximum likelihood (ML) methods are given. It is found that the ML method has less position estimation error than the LS method, approximately 2 times in x axis and 3.5 times in y axis. The numerical results informed that the AoA location estimation algorithm can be used for a precise location information estimation in 5G cellular networks.