In this paper, channel estimation problem for downlink massive multi-input multi-output
(MIMO) system is considered. Motivated by the observation that channels in massive MIMO …

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 …

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 technology that can enhance
the wireless communication capacity due to increased degrees of freedom. To fully utilize …

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

In this paper we propose a low-computational-complexity channel estimation algorithm for
the downlink of massive MIMO systems. This algorithm employs the expectation propagation …

We consider channel estimation for massive multiple-input multiple-output (MIMO) systems
operating in frequency division duplexing (FDD) mode. By exploiting the sparsity of …

Massive MIMO has become a promising key technology for future 5G wireless
communications to increase the channel capacity and link reliability. However, with greatly …

This paper investigates downlink channel estimation in massive multiple-input multiple-
output (MIMO) systems. To reduce the overhead of downlink channel estimation and uplink …

While massive MIMO obtains a great advantage over traditional MIMO, the overwhelming
pilot overhead becomes a challenging problem in channel estimation. Different schemes …