This paper investigates the pilot design and channel estimation issue for massive MIMO-
OFDM uplink transmission. By exploiting the channel sparsity in the beam-delay domain, the …

This letter addresses a problem of downlink pilot allocation for massive multiple-input
multiple-output (MIMO) systems. When a massive MIMO is employed in frequency division …

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

For downlink orthogonal frequency division multiplexing-based massive multiple-input-
multiple-output transmission over the time-varying channel, channel estimation is very …

The efficient and highly accurate channel state information (CSI) at the base station is
essential to achieve the potential benefits of massive multiple input multiple output (MIMO) …

In massive MIMO systems, the effective channel state information (CSI) is an essential
prerequisite for the beamforming (BF) design. While there is a handful of previously …

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 …

Inspired by the success in sparse signal recovery, compressive sensing has already been
applied for the pilot-based channel estimation in massive multiple input multiple output …

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 …

With the growing need for Internet of things (IoT) applications, wireless communications are
facing the challenge of providing massive connectivity. However, as the number of users …