2026-06-03T01:32:29Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/164972026-02-03T12:30:44Zcom_10630_2254col_10630_37959
Inversión aproximada de matrices en sistemas Massive MIMO correlados en tiempo o frecuencia
Cobos Morales, Óscar
Soldado Guerrero, Rafael
Martos-Naya, Eduardo
López-Martínez, Francisco Javier
Entrambasaguas-Muñoz, José Tomás
Análisis esctructural (Ingeniería) - Métodos matriciales
Sistemas de comunicación móviles
Massive multiple-input multiple-output (MIMO) is expected to be one of the keys in 5G. In this technology, the base station is equipped with a big number of antennas serving multiple users simultaneously to improve spectral efficiency, coverage, and range. Zero-Forcing and Minimum Mean Square Error have been considered potential practical precoding and detection methods for large scale MIMO systems but require much larger dimensions of matrix inversion. This paper presents an architecture for approximate matrix inversion based on Neumann Series, thereby reducing the cost of hardware. In addition, we propose a solution for systems with time or frequency correlation among different channels where we are able to reach a much higher throughput.
2018-09-20T10:46:12Z
2018-09-20T10:46:12Z
2018
2018-09-20
conference output
https://hdl.handle.net/10630/16497
spa
XXXIII Simposium Nacional de la Unión Científica Internacional de Radio (URSI) 2018
Granada, España
Septiembre 2018
open access