This paper considers frequency division duplexing massive multiple-input multiple-output
systems in which the base station (BS) is equipped with either a uniform linear antenna …

This study considers the channel covariance conversion problem, which consists in
estimating the spatial covariance matrix of a wireless channel by exploiting measurements …

Massive Multiple Input Multiple Output (MIMO) is able to boost the system throughput. A key
challenge is a large overhead of Channel State Information (CSI) feedback with the …

We derive novel bounds for the performance of algorithms that estimate the downlink
covariance matrix from the uplink covariance matrix in frequency division duplex (FDD) …

In cellular communications, deploying a larger number of antennas at the base station, also
called massive multiple-input multiple-output (MIMO), can offer a significant improvement in …

In this paper, we consider user selection and downlink precoding for an over-loaded single-
cell massive multiple-input multiple-output (MIMO) system in frequency division duplexing …

This paper addresses the problem of estimating and tracking the angular power spectrum
(APS) of MIMO channels. The APS displays properties such as invariance over a wide range …

We propose a novel algorithm to estimate the channel covariance matrix of a desired user in
multiuser massive MIMO systems. The algorithm uses only knowledge of the array response …

Angular reciprocity based downlink (DL) channel covariance matrix (CCM) reconstruction
has the significant superiority of requiring no uplink feedback in frequency division duplex …

Massive multiple-input multiple-output (MIMO) systems use antenna arrays with a large
number of antenna elements to serve many different users simultaneously. The large …