In this paper, we present a low-cost receive algorithm for massive Multiple-Input Multiple-
Output (MIMO) system, which exploits 2-dimensional superimposed pilots in time and …

Inspired by the success in sparse signal recovery, compressive sensing has already been
applied for the pilot-based channel estimation in massive multiple input multiple output …

The channel estimation of the muti-user massive MIMO systems is a crucial task which
enables us to leverage their high degrees of freedom. Due to the large number of base …

A multiuser MIMO (MU-MIMO) TDD system in which the base station (BS) uses a large scale
antenna array to communicate with single-antenna mobile users is considered. We present …

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 novel iterative discrete estimation (IDE) algorithm, which is called the
modified IDE (MIDE), is proposed to reduce the computational complexity in MIMO detection …

A channel estimation method was recently proposed for multi-cell massive MIMO systems
based on the eigenvalue decomposition of the correlation matrix of the received vectors …

Massive MIMO has provided immense improvement in the performance of wireless
communication systems when it comes to spectral efficiency, which led to it becoming the …

Accurate and efficient channel estimation methods have the ability to realize the theoretical
gain in multi-input multi-output (Massive MIMO) systems which have a massive number of …

We propose a novel channel estimation method for suppression of interference during
uplink training in massive MIMO systems. The method makes use of the received uplink data …