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 …

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 …

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, we consider the uplink channel parameter estimation problem in the presence
of pilot contamination for massive multiple-input-multiple-output (MIMO) systems. We …

For pilot sequence based multiple input multiple output (MIMO) channel estimation, the
arrangements of pilot symbols, such as the block or comb type arrangement, is known to …

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

In this paper, we present a new performance bound for uplink channel estimation (CE)
accuracy in the Massive Multiple Input Multiple Output (MIMO) system. The proposed …

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

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 …

In this letter, we propose a deep learning (DL)-based channel estimation scheme for the
massive multiple-input multiple-output (MIMO) system. Unlike existing studies, we develop …