Due to employing different frequencies in the uplink and downlink path of frequency-division
duplex (FDD) systems, the required training signals for estimating downlink channel would …

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 …

Estimating downlink (DL) channel state information (CSI) in frequency division duplex (FDD)
massive multi-input multi-output (MIMO) systems generally requires downlink pilots and …

Massive multiple-input multiple-output (MIMO) has been attracted and widely considered as
a key technology for future wireless networks. To maximize the gain of massive MIMO, the …

Conventional channel estimation schemes may require for the transmission of orthogonal
pilot signal for each antenna in frequency-division duplex (FDD) transmission systems. It is …

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 …

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 …

In this paper, we propose a new channel estimation scheme for TDD/FDD massive MIMO
systems by reconstructing (sometimes also referred to as covariance computing or …

Increased pilot overhead is one of the major issues for 5G full-dimension MIMO (FD-MIMO)
systems. In this paper, we introduce the FD-MIMO system using pilot-data superposition to …

Wireless communications in high‐mobility situations face with doubly selective (DS) fading.
In addition, many practical wireless channels exhibit a sparse multipath structure. This paper …