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 letter, we propose a semi-blind iterative space-alternating generalized expectation
maximization (SAGE)-based channel estimator for massive MIMO systems. The method …

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 …

Massive multiple-input-multiple-output (MIMO) uses a large number of antennas and radio
frequency (RF) chains which incur a huge cost and power consumption. Since high …

Massive multiple-input multiple-output (MIMO) is a breakthrough technology equipped with a
large number of antennas and radio frequency (RF) chains, which increases complexity and …

This letter proposes a simple channel estimator for a multi-cell massive MIMO system with
pilot contamination. Under moderate or strong pilot contamination, the existing least square …

Massive multiple-input multiple-output (MIMO) suffers from RF hardware complexity, cost,
and circuit power consumption. The high-resolution analog-to-digital converter (ADC) at the …

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 …

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