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 …

To address the challenging problem of downlink channel estimation with low pilot overhead
in massive multiple-input multiple-output (MIMO) systems, an empirical Bayesian block …

In this paper, we have addressed the problem of channel estimation in massive MIMO
systems, because the large scale benefits of massive MIMO relies on the accuracy of …

In this paper, a channel estimation method based on the superimposed pilots with the first-
order statistics is proposed for massive MIMO systems. In the proposed method, no time …

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

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 …

Massive MIMO can boost the capacity and increase the coverage, however the pilot
overhead of its channel estimation will linearly increase with the antenna increasing. In …

Massive MIMO channel has a sparse representation in the angular domain, but it is difficult
to utilize such sparsity for uplink channel estimation due to the coupling effect caused by …

In this paper, we have proposed an iterative space alternating generalized expectation
maximization (SAGE) based semi-blind channel estimation technique for massive multiple …

A novel data-assisted channel estimation scheme is proposed for uplink massive multiple-
input multiple-output (MIMO) systems to alleviate the performance bottleneck due to pilot …