In this paper, we propose a low-complexity symbol detection algorithm for massive multiple-
input multiple-output (MIMO) uplink. Grounded on the fact that a primary property of the …

The use of one-bit analog-to-digital converter (ADC) has been considered as a viable
alternative to high resolution counterparts in realizing and commercializing massive multiple …

Pilot contamination limits the potential benefits of massive multiple input multiple output
(MIMO) systems. To mitigate pilot contamination, in this paper, an efficient channel …

Massive multiple-input multiple-output (MIMO) technology has recently gained a lot of
attention as a candidate technology for the next generation wireless systems. With a higher …

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) …

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 …

We consider channel estimation for massive multiple-input multiple-output (MIMO) systems
operating in frequency division duplexing (FDD) mode. By exploiting the sparsity of …

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 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 …