Accurate channel tracking with a small pilot overhead is vital for real-time massive multiple-
input and multiple-output (MIMO) communication over a dynamic channel. Recently …

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

Accurate channel state information (CSI) is essential to realize the potential advantages of
massive MIMO. However, the overhead required by conventional channel estimation and …

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 …

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

The massive multiple-input multiple-output (MIMO) technology considerably enhances the
spectral efficiency of a wireless communication system. However, it suffers from substantial …

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 …

The low-rank property of the channel covariances can be adopted to reduce the overhead of
the channel training in massive MIMO systems. In this paper, with the help of the virtual …

Numerical evidence suggests that compressive sensing (CS) approaches for wideband
massive MIMO channel estimation can achieve very good performance with limited training …

Channel state information (CSI) at the base station (BS) is required to fully exploit the
advantages of massive MIMO. However, due to massive BS antennas, the estimation and …