… problem of estimating sparse channels in massive MIMO-OFDM systems. Most wireless
channels are sparse in nature with large delay spread. In addition, these channels as observed …

… This paper analyzed the effect of sparse channels on a single-cell massive MIMO system.
In particular, we have considered a stochastic model for the sparse channel where the virtual …

… Therefore, in this paper, we propose a channel estimator being able to identify the sparse
paths of an arbitrary terminal blindly and filter out most noise. As a result, channel vectors of …

… sparse channel estimation scheme for massive MIMO-OFDM downlink transmission over
time-varying channels… the spatial correlation of the massive MIMO channels. Compared with the …

… Channel sparsity together with various CS algorithms could reduce the training overhead for
massive MIMO … Nevertheless, the hypothetically exact sparse channel models may be too …

… time-varying channel scenarios are considered. First, we formulate the dynamic massive
MIMO channel as one sparse signal model. Then, an expectation maximization-based sparse …

… the DL channel estimation, we also utilize the sparse properties of the channel for the UL
channel … 1) We formulate the UL channel estimation explicitly into a sparse recovery problem. …

… the sparse channel estimation based on CS for massive MIMO systems. We have proposed
a system model for sparse channel estimation exploring the joint channel sparsity. We have …

… two-stage sparse channel estimation scheme is proposed for SNS massive MIMO channels.
First, we provide the problem of the sparse channel estimation in SNS channels. Then, we …

… of massive-MIMO sparse uplink channels by exploiting StOMP and GP as CS greedy algorithms.
For large-scale sparse … As the CIR estimation of massive-MIMO sparse uplink channels …