… In addition, new approaches to the massive MIMO model, especially for the sparse scenario
like mmWave transmission, are considering to re-build the transceiver design having as a …

… the targets and estimate the massive MIMO channel. [15] took … performance by exploiting
burst sparsity property and pilot … structured sparsity, we introduce a hybrid sparse prior into …

… , and the Poisson point process is adopted as the probability distribution of the IN burst
arrival. … and DOA estimation based massive MIMO system,” IEEE Trans. Veh. Technol., vol. …

… The authors in [19] proposed a burst LASSO algorithm that exploits the burst-sparse … the
sparse channel property, we further model the channel prior in downlink massive MIMO systems …

… We broke down the coherence blocks into two categories: Random access blocks and data
… we consider the cluster sparsity in the angular domain of massive MIMO channels. Consider …

… sparse DAE is revisited with two contributions made: First, a comprehensive comparison is
made for existing sparse … 3.5 km (9 bursts collected) or ∼4.6 km (15 bursts collected) and the …

… Channel hardening in massive MIMO systems could be … to channel hardening in massive
MIMO systems, channel capacity … duplexed (TDD) massive MIMO systems where the channel is …

… of smart meters is large and the data burst is sparse, ie, only a … , we propose a sparsity-aware
receiver, where the sparsity feature of … estimation problem of a MUMIMO system where both …

… the burst sparsity in the angle domain into block sparsity by using … sparsity, we transform
the spatial domain to the angle domain where the burst sparsity is changed to the block sparsity …

… We begin by introducing the sparse Bayesian formulation for the data model in (8) and
then provide our low complexity VBI-based method, as well as its computational complexity …