A semi-blind algorithm based on expectation propagation (EP) is proposed for multi-cell
massive MIMO systems with spatially and temporally correlated channels. The performance …

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

In order to realize the advantages of the massive MIMO systems, the channel state
information must be obtained at the base station (BS). However, it is a challenging task in …

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 …

This paper concerns with the uplink transmission of a massive MIMO system under high
mobility environments. By modeling the fading channel as complex exponential basis …

Massive MIMO technique is expected to greatly improve spectrum efficiency as well as
energy efficiency of a communication system. However, to obtain the benefits, the system …

Time-shifted pilot scheme can efficiency combat pilot contamination. However, when the
number of base station (BS) antennas is finite, the pilot interference due to the downlink …

In this paper, we consider the uplink transmission in Massive MIMO systems with OFDM over
frequency selective channels. Channel state information (CSI) is essential for exploiting the …

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