… common sparsity between users and the individual burst sparsity… Dai, “Exploiting burst-sparsity
in massive MIMO with partial … in multiuser massive MIMO with hidden Markovian sparsity,” …

… The multi-cell massive MIMO system adopted in this paper is the popular soft hand-off model
[… Liu, and HC So, “Non-uniform burst-sparsity learning for massive MIMO channel estimation,…

… , which causes the massive MIMO channel quite sparse under appropriate spatial basis [4]. …
that h is sparse. Such assumption has been made in most existing works on massive MIMO …

… (GIGD) for severely delay-spread MIMO channels. The GIGD is … When the channel has a
sparse ISI structure, the complexity … data burst while varying independently from burst to burst. …

… A novel non-uniform burst-sparsity model is … burst-sparsity was exploited using a generic
sparse Bayesian learning based framework. The system performance for Massive MIMO is …

… Sparsity of burst over the angle dimension, sparsity of blocN over the dimension of Doppler,
and a sparse angle, … 3-dimension structured sparsity in deployments of OTFS massive MIMO …

… 5G communication, is characterized by sparse and small data bursts and many connected
… Moreover, due to transmission sparsity, only a few user equipments (UEs) transmit in each …

… , large noise and/or strong fading in MTC operating environments [24]. Further, we observe
that these algorithms for the burst-sparsity … channel estimation for massive MIMO systems via …

… an alternative approach that, relying on the angular sparsity of the scene in each range-…
with a small number of subframes (chirp bursts) that scales logarithmically with array size. We …