… FDD massive MIMO systems, this paper investigates the theoretical performance of channel
extrapolation … in-depth theoretical study of the system performance as opposed to previous …

… problem in order to achieve the best channel extrapolation and decrease the data size of
NNs… proposed massive MIMO channel extrapolation algorithm. Index Terms—Massive multiple-…

… FDD massive MIMO systems, this paper investigates the theoretical performance limits of
channel extrapolation … First, we highlight the advantages of high-resolution channel estimation …

… for massive MIMO in FDD systems. Our goal is to be able to serve as many users as possible
even with very small number of DL pilots, compared to the inherent channel dimension. …

… a large MSE does not necessarily induce a high loss in beamforming power. In conclusion,
our results do not necessarily imply that the channel extrapolation for FDD massive MIMO …

… (DL) channel state information (CSI) back to the base station (BS), in … FDD Massive MIMO
system that avoids this overhead by employing a deep learning-driven channel extrapolation, ie…

… in FDD massive MIMO system. As long as the spatial stationarity holds, we can directly
extrapolate the large … In this paper, we consider an FDD massive MIMO system with plenty of …

… However, none of these works focus on the problem of extrapolating/prediction from one …
the FDD Massive MIMO problem is known. A classical estimation using the channel covariance …

… (FDD) massive multi-input multi-output (MIMO) systems … FDD massive MIMO systems
based on channel extrapolation. … (SAGE) algorithm, to extrapolate the DL CSI based on the …

… By generalizing the downlink channels in FDD massive MIMO systems to follow Gaussian
mixture distributions, the main contributions of this paper can be summarized as follows: r We …