… that MIMO-MC is particularly well suited for spectrum sharing. This is because the sparse …
This advantageous flexibility is introduced by the sparse sensing ( ie, subsampling) in MIMO…

… In this paper, by exploiting the sparsity in pilot domain, a pilot domain NOMA is proposed. …
access for massive MIMO systems in which the multiple replicas of each burst are randomly …

… applications that mitigates burst sparse interference using … and the statistics of the burst-sparse
interference, respectively. … Interference Support s: We model the burst sparsity feature of …

… sparsity of the channel, which is block sparsity in the Doppler domain, burst sparsity in the
angle domain, and normal sparsity … sparse value compare with the traditional sparse channel. …

… sparsity is often required to set a regularization constraint. In this work, we propose a data-driven
sparsity … Taking the first block in a data burst as a pilot block whose data symbols are …

… spatial and temporal sparsity in massive MIMO channel [12]… burst-sparse structure of massive
MIMO channel has been studied in [6, 19]; to handle the assumed channel model, the burst …

… sparse channel estimation (CE) schemes for both narrowband and wideband mmWave massive
MIMO … (AoAs/AoDs) exploiting the inherent sparsity of angle domain channels. Then, the …

… are ill-equipped to deal with short data bursts generated by a myriad of unattended devices.
… , the ML search should be over discrete, sparse vectors whose entries are confined to {0, 1}. …

… periodically in time with longer bursts spanning over one or … bursts into shorter ones. These
techniques are effective at high SNR, but not at low to moderate SNR, and require a large …

… Advances in virtual channel modeling and sparse channel … ant within each transmission
burst of time length NT. Each … focuses on compressed sensing, massive MIMO, mmWave …