… wireless networks are based on FDD and FDD systems show a better performance in … to
reduce the DL training and UL feedback overhead in FDD massive MIMO systems. Some of …

… We consider FDD operation, ie the DL and the UL channels are not reciprocal. Before we
detail our mathematical model, let us focus on the toy example shown in Fig. 1, which carries …

… can reduce both DL channel training and CSI feedback … in FDD massive MIMO [21], [22],
[36]–[38]. Using the fact that the angular scattering functions between UL and DL channels are …

… typically acquire Rd by using traditional DL training and uplink (UL) covariance … in massive
MIMO systems, owing to the large size of the covariance matrices and to the large DL training …

In this paper, a novel covariance-based channel feedback mechanism is investigated for
frequency division duplexing (FDD) massive multi-input multi-output (MIMO) systems. The …

… Since accurate channel estimation is critical for gaining unprecedented capacity, we
investigate beam-domain channel estimation and feedback for FDD massive MIMO systems. In …

… The reason is that, as explained before, in massive MIMO we aim at minimizing the DL
training dimension βtr such that it is significantly less than M. Methods for covariance estimation …

… TDD/FDD massive MIMO systems, including uplink (UL)/downlink (DL) channel estimation
and user … Hence, downlink (DL) training in massive MIMO system requires huge number of …

… In this work, we practically demonstrate an FDD Massive MIMO system that avoids this
overhead by employing a deep learning-driven channel extrapolation, ie, a prediction of the CSI …

… massive MU-MIMO systems, the number of BS antennas is very large and channel estimation
becomes challenging in FDD … In this paper, we propose a beamforming training scheme to …