This letter focuses on the problem of uplink channel estimation with the reduced fronthaul
overhead in cell-free massive multiple-input multiple-output (mMIMO) systems. First, we …

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 …

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 massive MIMO systems, different wireless channels starting from the same user antenna
to different base station (BS) antennas usually share a common channel support. In this …

In this letter, we propose an efficient off-grid sparse Bayesian learning (SBL) algorithm to
estimate the near-field (NF) channel in ultra-scale massive multiple-input multiple-output …

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 …

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 …

Massive multiple-input multiple-output (MIMO) enables reliability in low latency
communication systems. This paper proposes a channel estimation scheme in orthogonal …

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 …

Numerical evidence suggests that compressive sensing (CS) approaches for wideband
massive MIMO channel estimation can achieve very good performance with limited training …