… Abstract—We address the downlink channel estimation prob- … (MIMO) systems in this
paper, where the inherit burst-sparsity structure is exploited to improve the channel estimation …

… -sparse signal with a higher dimension, from which a burst … to exploit the burstsparse
structure in massive MIMO channels.… the channel estimation error of the proposed burst LASSO …

… MIMO channel. In Section IV, we extend the results for SU burstsparse channel estimation,
and propose a joint burst … the joint burstsparse structure of the MU massive MIMO channels. …

… In Section 2, we introduce the system and sparse channel models, also construct sensing
matrix as the training signal. In Section 3, the proposed greedy and iterative algorithm which …

… of downlink channel pilots and uplink channel feedback. In this … -user massive MIMO system
and apply joint sparsity-based … of the channel support over time as well as the burst sparsity …

… J-BurstLASSO [8]: This algorithm is based on LASSO (convex optimization) and it can
exploit the joint burst sparsity of multi-user massive MIMO channels. OAMP [11]: The OAMP …

… First, the SSCE algorithms that exploit joint sparsity or burst sparsity … sparsity of massive
MIMO channels and propose a structured Turbo-CS algorithm to improve the channel estimation …

… By exploiting this structure, a novel channel estimation scheme based on burst LASSO … ,
we consider the channel estimation for TDD three-dimension (3D) massive MIMO system, where …

… channel estimation technique to solve this problem. First, we show that the OTFS MIMO
channel exhibits 3D-structured sparsity: … along the Doppler dimension, and burst sparsity along …

… When the massive MIMO channel satisfies the burst-sparsity property, we can acquire the …
In this section, a least squares algorithm is investigated for compressed channel estimation …