Accurate channel estimation with small pilot overhead is vital to improve the capacity and
reliability of massive MIMO systems. Recently, compressed sensing has been applied to …

The sparse channel estimation which sufficiently exploits the inherent sparsity of wireless
channels, is capable of improving the channel estimation performance with less pilot …

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

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

Compressed sensing has been employed to reduce the pilot overhead for channel
estimation in wireless communication systems. Particularly, structured turbo compressed …

Aiming at a massive multi-input multi-output (MIMO) system with unknown channel path
number, a sparse adaptive compressed sensing channel estimation algorithm is proposed …

How to obtain accurate channel state information at the base station (CSIT) is a key
implementation challenge behind frequency-division duplex massive MIMO systems …

The pilot overhead provides fundamental limits on the performance of massive multiple-
input multiple-output (MIMO) systems. This is because the performance of such systems is …

Massive MIMO (multiple-input-multiple-output) is one of the key technologies of 5G mobile
cellular networks, which can form a huge antenna array by providing a large number of …

With the emergence of fifth-generation cellular networks (5G), there has been significant
interest in multi-input-multi-output (MIMO) systems. MIMO systems aim to achieve several …