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
This paper considers massive access in massive multiple-input multiple-output (MIMO)
systems and proposes an adaptive active user detection and channel estimation scheme …

MAP-based active user and data detection for massive machine-type communications

BK Jeong, B Shim, KB Lee - IEEE Transactions on Vehicular …, 2018 - ieeexplore.ieee.org
With the advent of the Internet of things, massive machine-type communications (mMTC)
have become one of the most important requirements for next generation communication …

EP-based joint active user detection and channel estimation for massive machine-type communications

J Ahn, B Shim, KB Lee - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Massive machine-type communication (mMTC) is a newly introduced service category in 5G
wireless communication systems to support a variety of Internet-of-Things (IoT) applications …

Compressive sensing-based joint activity and data detection for grant-free massive IoT access

Y Mei, Z Gao, Y Wu, W Chen, J Zhang… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Massive machine-type communications (mMTC) are poised to provide ubiquitous
connectivity for billions of Internet-of-Things (IoT) devices. However, the required low-latency …

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
Accurate channel estimation with small pilot overhead is vital to improve the capacity and
reliability of massive MIMO systems. Recently, compressed sensing has been applied to …

Bayesian channel estimation in multi-user massive MIMO with extremely large antenna array

Y Zhu, H Guo, VKN Lau - IEEE Transactions on Signal …, 2021 - ieeexplore.ieee.org
We investigate wideband uplink channel estimation for a multi-user (MU) multiple-input
single-output (MISO) OFDM system, in which the base station (BS) is equipped with an …

Exploiting dynamic sparsity for downlink FDD-massive MIMO channel tracking

L Lian, A Liu, VKN Lau - IEEE Transactions on Signal …, 2019 - ieeexplore.ieee.org
Accurate channel tracking with a small pilot overhead is vital for real-time massive multiple-
input and multiple-output (MIMO) communication over a dynamic channel. Recently …

Massive unsourced random access based on uncoupled compressive sensing: Another blessing of massive MIMO

V Shyianov, F Bellili, A Mezghani… - IEEE journal on …, 2020 - ieeexplore.ieee.org
We put forward a new algorithmic solution to the massive unsourced random access (URA)
problem, by leveraging the rich spatial dimensionality offered by large-scale antenna arrays …

Grant-free massive MTC-enabled massive MIMO: A compressive sensing approach

K Senel, EG Larsson - IEEE Transactions on Communications, 2018 - ieeexplore.ieee.org
A key challenge of massive MTC (mMTC), is the joint detection of device activity and
decoding of data. The sparse characteristics of mMTC makes compressed sensing (CS) …

Optimized compressive sensing-based direction-of-arrival estimation in massive MIMO

Y Gu, YD Zhang, NA Goodman - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
As a new emerging technology for wireless communications, massive multiple-input multiple-
output (MIMO) faces a significant challenge to deploy a separate receiver chain of front-end …