Learning the structured sparsity: 3-D massive MIMO channel estimation and adaptive spatial interpolation
Y Wang, A Liu, X Xia, K Xu - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
… burst sparsity. By exploiting this structure, a novel channel estimation scheme based on burst
… by assuming partial knowledge of channel sparsity, such as the length of the sparse block. …
… by assuming partial knowledge of channel sparsity, such as the length of the sparse block. …
A block sparsity based estimator for mmWave massive MIMO channels with beam squint
… burst-sparsity structure proposed in [28] do not accurately represent mmWave massive MIMO
… delay parameters can each be expressed as a block-sparse signal recovery problem [29]. r …
… delay parameters can each be expressed as a block-sparse signal recovery problem [29]. r …
Multi-user massive MIMO channel estimation using joint sparsity and non-ideal feedback modeling
… The correlation of the channel support over time as well as the burst sparsity property
have been leveraged in [18] to estimate the downlink channel matrix. In this paper, we have …
have been leveraged in [18] to estimate the downlink channel matrix. In this paper, we have …
Blind multiuser detection in massive MIMO channels with clustered sparsity
… We model the clustered sparsity of the massive MIMO channel … SYSTEM MODEL Consider
an uplink massive MIMO system, … Dai, “Exploiting burst-sparsity in massive MIMO with partial …
an uplink massive MIMO system, … Dai, “Exploiting burst-sparsity in massive MIMO with partial …
Sparsity-exploiting blind receiver algorithms for unsourced multiple access in MIMO and massive MIMO channels
J Liu, X Wang - IEEE Transactions on Communications, 2021 - ieeexplore.ieee.org
… the massive MIMO, in addition to the codeword sparsity, we further exploit the channel sparsity
and user sparsity in … The proposed receiver algorithms for both MIMO and massive MIMO …
and user sparsity in … The proposed receiver algorithms for both MIMO and massive MIMO …
Super-resolution channel estimation for massive MIMO via clustered sparse Bayesian learning
… problem of massive MIMO. Our numerical results illustrate that such joint sparse channel
recov… Dai, “Exploiting burst-sparsity in massive MIMO with partial channel support information,” …
recov… Dai, “Exploiting burst-sparsity in massive MIMO with partial channel support information,” …
An overview of enhanced massive MIMO with array signal processing techniques
… sparsity of the OTFS channel in massive MIMO systems. The downlink channel % of the OTFS
… Dai, “Exploiting burst-sparsity in massive MIMO with partial channel support information,” …
… Dai, “Exploiting burst-sparsity in massive MIMO with partial channel support information,” …
Compressed downlink channel acquisition based on burst support information in large‐scale MIMO systems
MJ Azizipour, K Mohamed‐Pour - Electronics Letters, 2019 - Wiley Online Library
… burst-sparse channel model, a joint burst LASSO algorithm has been introduced to reduce
the number of assigned pilots in the massive MIMO, … based on the burst-sparse property of the …
the number of assigned pilots in the massive MIMO, … based on the burst-sparse property of the …
Structured turbo compressed sensing for downlink massive MIMO-OFDM channel estimation
… The burst LASSO algorithm, which considers group sparsity in the virtual angle domain, …
In Section II, we present the massive MIMO-OFDM channel model and the joint sparsity in the …
In Section II, we present the massive MIMO-OFDM channel model and the joint sparsity in the …
Sparsity-Aware Intelligent Massive Random Access Control for Massive MIMO Networks: A Reinforcement Learning Based Approach
… bursting nature, sparse active user detection (SAUD) is an efficient enabler towards efficient
active user detection. However, the sparsity … of massive random access to a massive MIMO …
active user detection. However, the sparsity … of massive random access to a massive MIMO …