In this paper, we propose low-complexity channel estimation schemes in spatially correlated
massive MIMO channels. Minimum-mean-square-error (MMSE) estimators at the user (s) …

The huge pilot overhead required for channel estimation is one of the key issues for massive
multiple-input multiple-output (MIMO) systems. Existing compressed sensing and deep …

Pilot contamination is a limiting factor in multicell massive multiple-input multiple-output
(MIMO) systems because it can severely impair channel estimation. Prior works have …

This paper addresses the problem of estimating sparse channels in massive MIMO-OFDM
systems. Most wireless channels are sparse in nature with large delay spread. In addition …

The current high gain frequency division duplex (FDD) Massive multiple-input, multiple-
output (MIMO) systems pose several challenges to carry out the downlink beamforming …

Massive multiple input multiple output (MIMO) is a promising technology that can enhance
the wireless communication capacity due to increased degrees of freedom. To fully utilize …

We consider efficient channel estimation for massive multiple-input multiple-output (MIMO)
systems using one-bit analog-to-digital converters (ADCs) with antenna-varying thresholds …

To glean the benefits offered by massive multi-input multi-output (MIMO) systems, channel
state information must be accurately acquired. Despite the high accuracy, the computational …

We introduce a new channel matrix estimation algorithm for Massive MIMO systems to
reduce the required pilot symbols. The proposed method is based on Maximum A Posteriori …

This paper proposes novel pilot optimization and channel estimation algorithm for the
downlink multiuser massive multiple input multiple output (MIMO) system with K …