… exploiting the sparse structure of the massive MIMO channel. … M-dimensional user channel
vectors admit a sparse represen… , in order to estimate the channel vectors using Compressed …

… In another experiment, we investigate the case where the rows of the angular channel
matrix are not completely joint sparse, ie, they have a common support part as well as a small …

… limited feedback setup where UE estimates the sparse channel and sends back the support
along with the coarsely quantized nonzero elements of the estimated sparse channel g. …

… the sparse characteristics of the unknown channel in Subsection III-A. Then, in Subsection
III-B and III-C we exploit this sparse nature to efficiently estimate the unknown channel DOAs …

… the limited space of massive MIMO transmitter (Tx) and receiver (Rx) … In this work, we
propose a massive MIMO channel feedback … As we can see in the example, the sparse channel …

… With such a computationally-efficient behavior, the proposed BSAMP algorithm provides
efficient sparse channel estimation capability for 5G massive MIMO systems which also enables …

… We also propose a channel estimation technique to mitigate PN for massive MIMO systems.
… In this section, we present a sparse signal recovery problem formulation of the channel …

… inherent sparsity of the massive MIMO channel, we define a … Firstly, for the sparse mmWave
massive MIMO channel, we … rate formulas for the sparse MIMO channel and the covert …

… sparse channel estimation (CE) for phase-synchronized sub-6G Massive MultipleInput
Multiple-Output (MIMO) … The algorithm employs an iterative search for propagation channel taps, …

… SBL algorithm for grid sparse channel recovery in massive MIMO systems. The … channel
estimation in wideband THz large-scale MIMO systems. Compared with the traditional sparse …