… Now, we aim at deriving an iterative algorithm for broadband sparse channel estimation
with one-bit receivers. Blind estimation with one-bit data is in general mathematically more …

… transform), the channel is approximately sparse, ie, the channel matrix contains only a small
… channel estimation based on sparse Bayesian learning methods, where sparse channel …

… channel estimation and soft symbol decoding algorithm for a massive MIMO-OFDM system
… First, we develop a benchmark to evaluate the performance of any sparse channel estimator …

… burst-sparse massive MIMO channel model and the problem formulation for (joint) burst-sparse
channel … In Section IV, we extend the results for SU burstsparse channel estimation, and …

… represent the channel, which are able to adjust to … for sparse channel model and, once
sparse channel representation is obtained, we apply compressive sensing techniques for channel …

… To address the aforementioned deficiencies, we propose a novel doubly-sparse approach
to estimate mmWave mMIMO channels. Specifically, the so-called DSDS channel estimator …

… sparse channel support either. Hence, to the best of our knowledge, the wideband channel
estimation in THz massive MIMO systems has not been well addressed in the literature. …

… system model including the sparse channel model and the problem formulation of FDD
massive MIMO at the user side. The proposed algorithm for sparse channel estimation and also …

… sparsity of massive MIMO channels, it is possible to design structured sparse channel
estimation (… reduce the pilot/feedback overheads in massive MIMO downlink CE. However, most …

… massive MIMO with FDD recently [4]–[9]. In this paper, we focus on a downlink training
framework for FDD massive MIMO … of massive MIMO channel, that other papers have overlooked. …