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 a semi-blind iterative space-alternating generalized expectation
maximization (SAGE)-based channel estimator for massive MIMO systems. The method …

In this paper, we have proposed an iterative space alternating generalized expectation
maximization (SAGE) based semi-blind channel estimation technique for massive multiple …

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 …

Massive multiple-input-multiple-output (MIMO) uses a large number of antennas and radio
frequency (RF) chains which incur a huge cost and power consumption. Since high …

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 …

In this paper we propose a low-computational-complexity channel estimation algorithm for
the downlink of massive MIMO systems. This algorithm employs the expectation propagation …

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

In this paper, a channel estimation method based on the superimposed pilots with the first-
order statistics is proposed for massive MIMO systems. In the proposed method, no time …

This paper investigates semi-blind channel estimation in massive multiple-input multiple-
output (MIMO) systems using different priors on data symbols. We derive two tractable …