… precoding scheme is proposed for massive MIMO systems. A sparse precoding and …
MIMO systems in [4]. Recently, some deep learning (DL)-based approaches for massive MIMO …

… downlink CSI in FDD massive MIMO systems has considered … -order channel statistics (particularly
the channel covariance … training and channel estimation for FDD massive MIMO …

… Hence, in order to provide DL channel state information … channel probing, and channel
state information (CSI) feedback is needed. In massive MIMO, this typically incurs a large training …

… duplex (FDD) system the up-link (UL) and DL channels are … are based on training symbols
on the UL channel and time … Alternatively, the estimation is based on training symbols sent …

… FDD massive MIMO systems, we have proposed to exploit the temporal correlation and sparsity
of time-domain channels … “Downlink training techniques for FDD massive MIMO systems: …

… lower-dimension overhead training pilots based on correlated massive MIMO channels are
… of the massive MIMO channels in dense networks to scale the training overhead with the …

… that address training and precoding in FDD massive MIMO systems are based on the assumption
that the base station (BS) has a priori knowledge of the users’ downlink (DL) channel …

… of zero-feedback FDD massive MIMO systems based on channel extrapolation. We use the
high… training techniques for FDD massive MIMO systems: Open-loop and closed-loop training …

… channel estimation scheme for a FDD Massive MIMO system… estimate channel accurately by
using much less training sym… dictionary learning algorithm to more efficiently exploit channel …

… preferred in implementing massive MIMO systems. Obtaining the downlink CSI in the FDD
massive MIMO systems may incur a huge training overhead which reduces the SE of the …