We consider the problem of downlink training and channel estimation in frequency division
duplex (FDD) massive MIMO systems, where the base station (BS) equipped with a large …

Channel estimation for the downlink of frequency division duplex (FDD) massive multiple-
input-multiple output (MIMO) systems is well known to generate a large overhead as the …

This paper addresses downlink channel estimation for frequency division duplex multi-user
massive multiple-input multiple-output systems. Suppose that a base station communicates …

We propose a novel method for massive multiple-input multiple-output (massive MIMO) in
frequency division duplexing (FDD) systems. Due to the large frequency separation between …

In this paper, we propose a simple and efficient approach to reduce the overhead of
downlink channel estimation and feedback using linear regression (LR) and support vector …

Massive multiple-input multiple-output systems deploying a large number of antennas at the
base station considerably increase the spectrum efficiency by serving multiple users …

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 …

Massive multiple-input multiple-output (MIMO) systems are expected to operate in the
frequency-division duplex (FDD) mode, which is feasible in the channel environment with …

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

This letter is concerned with the downlink channel estimation in frequency division duplex
(FDD) massive multiple-input multiple-output (MIMO) system. With the number of antennas …