The low-rank property of the channel covariances can be adopted to reduce the overhead of
the channel training in massive MIMO systems. In this paper, with the help of the virtual …

In this paper, we investigate a sparse channel estimation problem for broadband massive
multiple-input-multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) …

Accurate channel tracking with a small pilot overhead is vital for real-time massive multiple-
input and multiple-output (MIMO) communication over a dynamic channel. Recently …

This paper addresses the problem of uplink (UL) and downlink (DL) channel estimation in
frequency-division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems …

Pilot contamination posts a fundamental limit on the performance of massive multiple-input-
multiple-output (MIMO) antenna systems due to failure in accurate channel estimation. To …

We investigate wideband uplink channel estimation for a multi-user (MU) multiple-input
single-output (MISO) OFDM system, in which the base station (BS) is equipped with an …

This paper proposes a spatially common sparsity based adaptive channel estimation and
feedback scheme for frequency division duplex based massive multi-input multi-output …

Massive MIMO is a promising technique for future 5G communications due to its high
spectrum and energy efficiency. To realize its potential performance gain, accurate channel …

This paper addresses the problem of downlink channel estimation in frequency-division
duplexing massive multiple-input multiple-output systems. The existing methods usually …

How to obtain accurate channel state information at the base station (CSIT) is a key
implementation challenge behind frequency-division duplex massive MIMO systems …