Massive multiple-input-multiple-output (MIMO) systems use few hundred antennas to
simultaneously serve large number of wireless broadband terminals. It has been …

Massive MIMO (multiple-input-multiple-output) is one of the key technologies of 5G mobile
cellular networks, which can form a huge antenna array by providing a large number of …

In this paper, we address differential non-coherence detections in uplink massive multiple
input multiple output (MIMO) systems. Utilizing the channel statistics information, a special …

This paper presents a Least Mean Squares (LMS)-based channel estimation approach for a
two-user downlink single-input-single-output non-orthogonal multiple access (SISO-NOMA) …

Last years were characterized by a great demand for high data throughput, good quality and
spectral efficiency in wireless communication systems. Consequently, a revolution in cellular …

Pilot contamination is a major limitation in estimating the uplink channel state in massive
MIMO systems using time division duplex communication method. This limitation has a huge …

In the massive multiple-input multiple-output (MIMO) systems, pilot contamination and signal
perturbation are two important issues in the semi-blind channel estimation methods. To …

The pilot contamination problem in multi-cell multi-user massive MIMO systems is addressed
in this paper. The overall performance of massive MIMO system is limited to the accuracy of …

针对大规模多输入多输出(MIMO) 系统信道估计算法复杂度高的缺陷, 结合无线通信信道固有的
稀疏性提出了一种低复杂度的稀疏信道估计算法. 该算法是在传统的离散傅里叶变换(DFT) …

Massive Multiple-Input Multiple-Output (MIMO) systems require accurate estimation of
Channel State Information (CSI). There are three types of Channel Estimation (CE) methods …