In massive multiple-input multiple-output (MIMO) systems, although the performance of
maximum likelihood (ML) is the optimum, it introduces extremely high computational …

Linear minimum mean-square error (MMSE) detection method bears high computational
complexity due to matrix inversion operations in massive multiple-input multiple-output …

From MIMO respect, the Minimum Mean Square Error (MMSE) is identified as an near-
optimal method in uplink signal detection algorithms area. However, MMSE requires a high …

Massive multiple-input multiple-output (MIMO) is a backbone technology in the fifth-
generation (5G) and beyond 5G (B5G) networks. It enhances performance gain, energy …

For multi-user uplink massive multiple input multiple output (MIMO) systems, minimum mean
square error (MMSE) criterion-based linear signal detection algorithm achieves nearly …

In massive multiple-input multiple-output (MIMO) systems, linear minimum mean-square
error (MMSE) detection can achieve near-optimal performance. However, it suffers from high …

Massive multiple input multiple output (MIMO) technology has been become one of 5G's
core technologies. However, conventional MMSE algorithm usually involves high complexity …

Massive multiple-input multiple-output (MIMO) is a core component of next-generation 5G
networks which groups together antennas at both transmitter and the receiver to provide …

In massive multiple-input multiple-output (MIMO) system, Neumann series (NS) expansion-
based linear minimum mean square error (LMMSE) detection has been proposed due to its …

Massive MIMO (Multiple Input Multiple Output) is a sub-6 GHz wireless access technology,
and it is one of the key enabling technologies for the next-generation wireless networks …