In a frequency division duplex (FDD) massive MIMO system, downlink channel estimation
poses several challenges with limited training duration being one impediment. Our previous …

We address the problem of downlink channel estimation in frequency division duplex (FDD)
Massive MIMO system when downlink training duration is limited. Leveraging the concept of …

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 …

To achieve the performance gains of massive multiple-input multiple-output (MIMO) systems,
the downlink channel state information (CSI) must be acquired at the base station (BS). In …

This paper focuses on learning the representing dictionaries for sparse channel estimation
in frequency-division duplexing (FDD) massive multiple-input multiple-output (MIMO) …

There is much discussion in industry and academia about possible technical solutions to
address the growth in demand for wireless broadband. Massive multiple-input multiple …

In this study, a new greedy‐based algorithm for sparse channel estimation in frequency‐
division duplexing massive multiple‐input multiple‐output (MIMO) systems is introduced …

The sparse channel estimation which sufficiently exploits the inherent sparsity of wireless
channels, is capable of improving the channel estimation performance with less pilot …

Most existing downlink channel estimation methods rely on channel sparsity in the angular
domain to reduce pilot overhead for massive multiple-input multiple-output (MIMO) systems …

Massive multi-input multi-output (MIMO), which employs large number of antennas at the
base station, can significantly boost the spectral efficiency and multiplexing gain. To fully …