Joint activity detection and channel estimation for clustered massive machine type communications

L Marata, OLA López, A Hauptmann… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Compressed sensing multi-user detection (CS-MUD) algorithms play a key role in optimizing
grant-free (GF) non-orthogonal multiple access (NOMA) for massive machine-type …

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 …

Sparsity-aware ordered successive interference cancellation for massive machine-type communications

J Ahn, B Shim, KB Lee - IEEE Wireless Communications …, 2017 - ieeexplore.ieee.org
In massive machine-type communication systems, by exploiting sporadic device activities,
compressed sensing-based multi-user detection (CS-MUD) is used to recover sparse multi …

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 …

Joint active user detection and channel estimation via Bayesian learning approaches in MTC communications

X Zhang, F Labeau, L Hao, J Liu - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
To support the massive machine-type communications (mMTC) scenario for Internet of
Things (IoTs) applications featured by large-scale device connectivity and low device …

Grouping-based joint active user detection and channel estimation with massive MIMO

JC Jiang, HM Wang - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
This paper considers an uplink massive machine-type communication scenario with a
massive number of antennas, where a large number of user devices are connected to a …

Deep learning-based active user detection for grant-free SCMA systems

T Sivalingam, S Ali, NH Mahmood… - 2021 IEEE 32nd …, 2021 - ieeexplore.ieee.org
Grant-free random access and uplink non-orthogonal multiple access (NOMA) have been
introduced to reduce transmission latency and signaling overhead in massive machine-type …

Deep learning based fast multiuser detection for massive machine-type communication

Y Bai, B Ai, W Chen - 2019 IEEE 90th Vehicular Technology …, 2019 - ieeexplore.ieee.org
Massive machine-type communication (MTC) with sporadically transmitted small packets
and low data rate requires new designs on the PHY and MAC layer with light transmission …

Low-complexity joint activity detection and channel estimation with partially orthogonal pilot for asynchronous massive access

Y Guo, Z Liu, Y Sun - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
In the asynchronous massive machine-type communications (mMTCs) supported by
massive MIMO-based grant-free random access, where all active devices asynchronously …

Channel estimation and user identification with deep learning for massive machine-type communications

B Liu, Z Wei, W Yuan, J Yuan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this paper, we investigate the detection problem for a massive machine-type
communication (mMTC) system that has correlated user activities. Two deep learning …