An improved minimum mean square error (MMSE) channel method with low complexity is
proposed for the massive multiple input multiple output (MIMO) system. In the method, the …

In this paper, we have addressed the problem of channel estimation in massive MIMO
systems, because the large scale benefits of massive MIMO relies on the accuracy of …

In this letter, we propose an iterative algorithm for the joint estimation of the channel
covariance matrices and the channel vector for the spatially-correlated massive MIMO …

Massive multiple-input multiple-output (MIMO) is one of the most promising tech-nologies in
5G systems. The base station (BS) is equipped with a much larger number of antennas in …

Massive MIMO technique is expected to greatly improve spectrum efficiency as well as
energy efficiency of a communication system. However, to obtain the benefits, the system …

Massive multiple input multiple output (MIMO) technology can support every cell which has a
base station (BS) with a large number of antennas and simultaneous use of the same …

An improved MMSE method aimed to reduce the computational burden is proposed in this
paper. In the method, the covariance matrix inversion is approximated by the expansion of N …

In this paper, we study the uplink channel estimation based on machine learning algorithm
in massive MIMO systems. Based on the sparsity of channel gains in the beam domain, we …

A new block low-rank channel estimation algorithm is put forward for the problem that the
complexity of the channel estimator matrix inverse computation for the traditional linear …

In millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) system with
hybrid precoding structure, the channel estimation is a huge challenge. The paper proposes …