In massive MIMO systems, the channel shows a spatial non-stationarity that has a significant
impact on the design of sparse channel estimation scheme based on compressive sensing …

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 …

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

Massive multiple‐input multiple‐output (MIMO) is believed to be a key technology to get
1000x data rates in wireless communication systems. Massive MIMO occupies a large …

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

Spatial non-stationarity channel estimation for uplink massive MIMO systems can be
formulated as a non-uniform block sparse signal recovery problem, in which the hierarchical …

Frequency division duplex (FDD) downlink massive multiple-input and multiple-output
(MIMO) systems encounter difficulty in acquiring the sparsity and threshold parameter. As a …

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 …

To fully exploit the spatial multiplexing gains and array gains of massive multiple-input-
multiple-output (MIMO), the channel state information must be obtained accurately at the …

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 …