… In Section IV we will introduce the novel idea of active channel sparsification where, for a …
A necessary step before performing sparsification is that all of the estimated DL covariance …

… devoted resource for channel probing is less than the required amount. To address this
issue, here we propose a new technique, referred to as active channel sparsification. The main …

… We adopt the active channel sparsification (ACS) scheme in [18] and the two-timescale hybrid
precoding (THP) scheme in [12] as baselines to compare with the proposed RCSHP. As in …

… MULTI-DIMENSIONAL ACTIVE CHANNEL SPARSIFICATION … 1, we extend active channel
sparsification to its multi-dimensional counterpart for sparsifying precoder design in DP-UPA. …

… channel spatial correlation, we adopt a recently proposed active channel sparsification …
dual-polarized FDD massive MIMO systems for the design of sparsifying precoders in [21]. …

… active channel sparsification method. Unfortunately, the authors do not know of any competing
method for channel training and precoding in FDD massive MIMO … of channel estimation …

… We compare the proposed reconstruction with the LMMSE channel estimation method in
FDD massive MIMO systems. Table I shows a brief comparison of the costs of these two …

… estimation, we compare the performance of CS-based DL channel estimation when different
sparsifying matrices are applied. The training pilots in A is generated as iid CN(0,ρd/N), so …

… FDD massive MIMO systems, by extending it from ULA to DP-UPA with explicit user
selection and making the current ACS … , a multi-dimensional active channel sparsification (MD-ACS) …

… Despite the attractiveness of the TDD mode in channel estimation, many current wireless …
By generalizing the downlink channels in FDD massive MIMO systems to follow Gaussian …