In order to realize the advantages of the massive MIMO systems, the channel state
information must be obtained at the base station (BS). However, it is a challenging task in …

Recently, compressive sensing based massive multiple input multiple output (MIMO)
channel estimation (CE) has attracted intensive research interest. By exploiting the …

The knowledge of CSI at the BS (CSIT) is required to achieve the high spectrum efficiency
promised by massive MIMO. In Frequency-Division Duplex (FDD) Massive MIMO systems …

Accurate channel state information (CSI) at transmitter is of importance to sufficiently exploit
the merits of massive multiple input multiple output (MIMO). Because of the large amount of …

In this study, a new greedy‐based algorithm for sparse channel estimation in frequency‐
division duplexing massive multiple‐input multiple‐output (MIMO) systems is introduced …

How to obtain accurate channel state information (CSI) at the transmitter with less pilot
overhead for frequency division duplexing (FDD) massive multiple-input multiple-output …

An important challenge in massive multiple-input multiple-output (MIMO) systems operating
with frequency-division duplexing (FDD) is to accurately estimate the channel response with …

This paper proposes a spatially common sparsity based adaptive channel estimation and
feedback scheme for frequency division duplex based massive multi-input multi-output …

Obtaining channel state information (CSI) at the transmitter side is essential to take
advantage of spectral and energy efficiency in massive multiple‐input multiple‐output …

To reduce the pilot overhead of downlink channel estimation in massive multiple-input-
multiple-output (MIMO) systems, a sparse recovery algorithm relying on the vector …