Zero-forcing (ZF) precoding plays an important role for massive MIMO downlink due to its
near optimal performance. However, the high computation cost of the involved matrix …

In this paper, we study low-complexity linear precoding for downlink massive multiple-input
multiple-output (MIMO) systems, exploiting a statistical method. In sharp contrast to …

In this paper, rapidly converging low-complexity iterative transmit precoding (TPC)
techniques are proposed for the massive multiple-input multiple-output (MIMO) downlink …

Massive multi-user (MU) MIMO wireless technology promises improved spectral efficiency
compared to that of traditional cellular systems. While data-detection algorithms that rely on …

Massive multi-input multi-output (MIMO) technology is promising by employing a large
number of antennas at the base station to support a large amount of users. However, due to …

Decision feedback equalization (DFE) has demonstrated its potential to achieve near-
optimal performance in signal detection within single-carrier massive MIMO systems …

大规模MIMO 系统中的传统ZF (zero forcing, 迫零) 预编码方法中由于存在厄米特矩阵求逆,
其复杂度随着用户数的增多呈指数增加. 针对这一问题, 提出了一种基于权重高斯赛德(weighted …

Regarding to the disadvantage of Naive Bayesian Classifier (NBC), this paper proposes a
new weighted Naive Bayesian Classifier model, which is based on information gain theory …

In this paper, the random iterative method is introduced to massive multiple-input multiple-
output (MIMO) systems for the efficient downlink linear precoding. By adopting the random …

The iterative precoding scheme is a common algorithm for downlink massive MIMO systems.
Due to the large number of system antennas, traditional linear precoding schemes are …