For downlink orthogonal frequency division multiplexing-based massive multiple-input-
multiple-output transmission over the time-varying channel, channel estimation is very …

In this paper, we propose joint angle-delay subspace based-channel estimation in single
cell for broadband massive multiple-input and multiple-output systems employing …

In this paper, we investigate a sparse channel estimation problem for broadband massive
multiple-input-multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) …

Massive MIMO is a promising technique for future 5G communications due to its high
spectrum and energy efficiency. To realize its potential performance gain, accurate channel …

Pilot contamination is the reuse of pilot signals, which is a bottleneck in massive multi-input
multi-output (MIMO) systems as it varies directly with the numerous antennas, which are …

Massive multiple-input multiple-output orthogonal frequency division multiplexing (mMIMO-
OFDM) channel estimation is considered recently utilizing compressed sensing (CS) based …

In this study, the channel estimation problem for the uplink massive multi‐input multi‐output
(MIMO) system is considered. Motivated by the observations that the channels in massive …

Massive Multiple Input Multiple Output (MIMO) is a promising technique for communications
due to the high data transmission rate. To harvest the benefit from the massive MIMO, it is …

Doubly selective (DS) channel estimation for the downlink massive multiple-input-multiple-
output orthogonal frequency division multiplexing (MIMO-OFDM) systems is a challenging …

To reduce the pilot overhead and improve the channel estimation accuracy in the massive
MIMO system, various channel estimation algorithms employing the sparse signal …