RT Conference Proceedings
T1 Inversión aproximada de matrices en sistemas Massive MIMO correlados en tiempo o frecuencia
A1 Cobos Morales, Óscar
A1 Soldado Guerrero, Rafael
A1 Martos-Naya, Eduardo
A1 López-Martínez, Francisco Javier
A1 Entrambasaguas-Muñoz, José Tomás
K1 Análisis esctructural (Ingeniería) - Métodos matriciales
K1 Sistemas de comunicación móviles
AB 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.
YR 2018
FD 2018-09-20
LK https://hdl.handle.net/10630/16497
UL https://hdl.handle.net/10630/16497
LA spa
NO Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 19 ene 2026