… Fortunately, It has been demonstrated that the massive MIMO channel shows sparsity …
Dai, “Joint burst LASSO for sparse channel estimation in multi-user massive MIMO,” in 2016 …

… A Large Dimensional Analysis of Least Squares Support Vector Machines . . . . . . . . . . . . .
. . . . . . . Z. Liao and R. … Non-Uniform Burst-Sparsity Learning for Massive MIMO Channel …

… to support massive and burst traffic due to a massive number of devices and sparse activity
of … This spatial sparsity in cell-free massive MIMO needs to be exploited to design GF random …

… For a sparse stepped frequency waveform radar application, we perform experiments on the
… We compare the CS algorithms on 100 bursts of data. The HRRP of one burst is shown in (a)…

… RIS-assisted MIMO channel estimation as a generic sparse signal recovery problem with …
for massive MIMO IoT systems is proposed by combining the CS and sparse Bayesian learning …

… Since perfect I-CSI estimation is a challenge in mMIMO systems, extracting the downlink SPI
from the uplink by exploiting the burst-sparse structure of the angular domain is proposed in …

… In addition, considering the sparsity of massive MIMO channels, a structured compressive
… Dai, “Joint burst lasso for sparse channel estimation in multi-user massive mimo,” in Proc. …

… multi-user massive MIMO systems. To this end, we use the Bayesian compressive sensing
approach in which the clustered sparse structure of the physical massive MIMO channel in the …

… Chen, “Analyzing uplink grantfree sparse code multiple access system in massive IoT
networks,” arXiv preprint arXiv:2103.10241, Mar 2021. [25] JV Evangelista, Z. Sattar, and G. …

… a burst-form evaluation technique, indicates as the BFLS technique, to completely use the
burst-sparsity property of massive MIMO … Here, initially, the non-sparse massive MIMO system …