… division duplex (FDD) massive multiple-input multiple-output (MIMO) systems. We propose
… massive MIMO channel. Then, by exploiting the dynamic burst-sparsity of the massive MIMO …

… Following this formulation, an OMP-based JADCE scheme was developed for GFMA in
single-station massive MIMO systems [102], and the sparsity of the delaydomain CIR was further …

… We consider a MU massive MIMO system with N = 100 antennas at the BS and K = 10
users. The channel model is the same burst-sparse model as utilized in [2] where the nonzero …

… sparsity level (number of nonzero entries) is large. As an emerging and breakthrough theory
of sparse … at different receive antennas occur in a burst manner in the time domain. They are …

… Specifically in this paper, the recovery of sparse channels in a massive MIMO-OFDM
system is described from two aspects - pilot design and reconstruction method. The relatively …

… the spatially common sparsity of massive MIMO channels to … sparse structure in the recovered
channel whereas the burst … a burst sparse nature and could also be jointly burst sparse …

… sparsity signal reconstruction problem for hybrid precoding [20]–[22]. The hybrid precoding
is transformed into a sparse … , ‘‘A burst-form CSI estimation approach for FDD massive MIMO …

… recovery problem, we consider an nonuniform block sparse matrix and model it as a
hierarchical sparse recovery problem. Two threshold-enhanced hierarchical estimation algorithms …

… to enhance the asynchronous NBI sparsity. • We investigate sparsity-based mitigation algorithms
… Assuming known bursts’ boundaries (block sparse case1), we investigate the use of the …

… The optimal range of TIR has been indicated for different number of BS antennas, sparsity
level, and transmission burst size. The range of TIR for which proposed SIP based method …