Pilot decontamination in wideband massive MIMO systems by exploiting channel sparsity

Z Chen, C Yang - IEEE Transactions on Wireless …, 2016 - ieeexplore.ieee.org
channels are approximately orthogonal in sparse channels. Such an … massive MIMO under
spatial and frequency correlated channels can be simply removed by linear MMSE channel

Compressive sensing-based adaptive active user detection and channel estimation: Massive access meets massive MIMO

M Ke, Z Gao, Y Wu, X Gao… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
… Furthermore, the massive access problem with sparse user activity has also been studied
from an information-theoretical perspective [25], [26]. In particular, the authors in [26] proposed …

Exploiting burst-sparsity in massive MIMO with partial channel support information

A Liu, VKN Lau, W Dai - IEEE Transactions on Wireless …, 2016 - ieeexplore.ieee.org
… In Section II, we present the system model, including the burst-sparse massive MIMO channel
model and the problem formulation for burst-sparse channel estimation. In Section III, we …

An overview of enhanced massive MIMO with array signal processing techniques

M Wang, F Gao, S Jin, H Lin - IEEE Journal of Selected Topics …, 2019 - ieeexplore.ieee.org
… A new trend to investigate massive MIMO, especially for the sparse scenario like millimeter
channel in massive MIMO systems. The downlink channel % of the OTFS massive MIMO is a …

Parametric sparse channel estimation using long short-term memory for mmwave massive mimo systems

J Kim, Y Ahn, S Kim, B Shim - ICC 2022-IEEE International …, 2022 - ieeexplore.ieee.org
… In this paper, we propose a new type of deep learning (DL)-based parametric channel
pilot signal and the sparse channel parameters characterizing the angular domain channel. By …

Blind estimation of sparse multi-user massive MIMO channels

A Mezghani, L Swindlehurst - WSA 2017; 21th International …, 2017 - ieeexplore.ieee.org
… CONCLUSION This work considered the maximum likelihood problem of blind massive
MIMO channel estimation. Based on the sparsity in the angular frequency domain, an l1 …

Blind signal detection in massive MIMO: Exploiting the channel sparsity

J Zhang, X Yuan, YJA Zhang - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
… In Section II, we introduce a sparse channel model for the massive MIMO system. In Section
III, we present upper and lower bounds of the capacity of the massive MIMO system. In …

Structured turbo compressed sensing for massive MIMO channel estimation using a Markov prior

L Chen, A Liu, X Yuan - IEEE Transactions on Vehicular …, 2017 - ieeexplore.ieee.org
sparse channel estimation algorithms. In this framework, a Markov prior is used to model the
structured sparsity in massive MIMO channels… solve the resulting sparse channel estimation …

A fast channel estimation approach for millimeter-wave massive MIMO systems

Y Wang, Z Tian, S Feng, P Zhang - 2016 IEEE Global …, 2016 - ieeexplore.ieee.org
massive MIMO scenarios the channel possesses a sparse multipath structure, and the nonzero
entries of the sparse channel … large in massive MIMO. As such, there is mapping from the …

FDD massive MIMO channel estimation with arbitrary 2D-array geometry

J Dai, A Liu, VKN Lau - IEEE Transactions on Signal …, 2018 - ieeexplore.ieee.org
… We provide a novel off-grid model for massive MIMO channel sparse representation with
an arbitrary 2D-array geometry. Off-grid models have been applied widely to the direction-of-…