… We propose a new log-sum constrained channel estimation algorithm for mmWave massive
MIMO with hybrid precoding. Comparing with the IR-based scheme [12], we can achieve …

… the hybrid-field channel feature of the XL-MIMO channel, where … Then, we propose a
hybrid-field channel model to capture … the channel estimation, the above non-sparse channel hfar−…

… -CS channel estimation approach that resorts to a sparse … the frequency-selective massive
MIMO channel in the frequency-… of the massive MIMO channel tensor G, as well as its sparse …

… only sparse but also clustering properties for the channel estimation in mmWave massive …
As we mentioned earlier, the structural information of the sparse channels, ie, the sizes {d} of …

… In Sections II and III, we introduce the system model for massive multi-user MIMO systems,
and a review of sparse signal compression including CS and dimensionaltiy reduction. In …

… channel sparsity, it is also applicable to non-sparse channels… and the transceiver architecture
of MIMO DDAM, followed by … selective channels into time-invariant ISI-free channels, which …

… the special sparse structure of THz beamspace channels, we … , the channel tracking for THz
beamspace massive MIMO … ) channel tracking scheme for THz beamspace massive MIMO sys…

… estimation has been treated as a compressive sensing problem [7], where the orthogonal
matching pursuit (OMP) algorithm [8] has usually been adopted to recover the sparse channel …

… sparse Bayesian learning (SBL) is applied for learning time-varying sparse channels in the
uplink for multi-user massive MIMO … , the dynamic information of the sparse channel is used to …

… have proposed CS-inspired algorithms for UL massive MIMO wideband channel estimation
[34], [38]… Building on the sparse channel model from the previous section and introducing the …