Detección en grupos para sistemas 5G con estrategia de agrupamiento basada en inteligencia artificial

Abstract

Abstract: This paper proposes the study and implementation of group detection techniques for MIMO with a clustering strategy based on artificial intelligence (AI). The MIMO system is a technology that uses multiple signals that travel simultaneously and at the same frequency through the same channel. The MU-MIMO concept refers to improvements in the performance of the link between the base station and the terminal having several parallel paths. As for receivers, we have linear receivers and nonlinear receivers. However, linear receivers have low performance concerning nonlinear receivers, and nonlinear receivers have high computational complexity than linear receivers. That is why in this work, the study and implementation in the Matlab software of the technique of detection by groups are the same that have an optimal performance compared with other detection techniques such as Zero-Forcing (ZF) and maximum Likelihood (ML). The results of this titling work will be the comparisons of the reception in groups and the clustering based on artificial intelligence, two types of algorithms will be used: The k-Means clustering algorithm and the DBSCAN clustering algorithm.