Enumeration and identification of active users for grant-free NOMA using deep neural networks

MU Khan, E Paolini, M Chiani - IEEE Access, 2022 - ieeexplore.ieee.org
In next-generation mobile radio systems, multiple access schemes will support a massive
number of uncoordinated devices exhibiting sporadic traffic, transmitting short packets to a …

Deep neural network-based active user detection for grant-free NOMA systems

W Kim, Y Ahn, B Shim - IEEE Transactions on Communications, 2020 - ieeexplore.ieee.org
As a means to support the access of massive machine-type communication devices, grant-
free access and non-orthogonal multiple access (NOMA) have received great deal of …

Joint active user and data detection in uplink grant-free NOMA by message-passing algorithm

R Xin, Z Ni, L Kuang, H Jia… - 2019 15th International …, 2019 - ieeexplore.ieee.org
Grant-free non-orthogonal multiple access (NOMA) is highly expected to support massive
connectivity and reduce the transmission latency for future wireless communications. In this …

Joint user activity and data detection in grant-free NOMA using generative neural networks

Y Zou, Z Qin, Y Liu - ICC 2021-IEEE International Conference …, 2021 - ieeexplore.ieee.org
Grant-free non-orthogonal multiple access (NOMA) is considered as one of the supporting
technology for massive connectivity for future networks. In the grant-free NOMA systems with …

Bayesian learning-based multiuser detection for grant-free NOMA systems

X Zhang, P Fan, J Liu, L Hao - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
Grant-Free Non-Orthogonal Multiple Access (GF-NOMA) is considered as a promising
technology to support the massive connectivity of Machine-Type Communications (MTC) …

Deep learning-based blind multiple user detection for grant-free scma and musa systems

S Thushan, S Ali, NH Mahmood… - … Machine Learning in …, 2023 - ieeexplore.ieee.org
Massive machine-type communications (mMTC) in 6G requires supporting a massive
number of devices with limited resources, posing challenges in efficient random access …

Advanced NOMA receivers from a unified variational inference perspective

X Meng, L Zhang, C Wang, L Wang… - IEEE Journal on …, 2020 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) on shared resources has been identified as a
promising technology in 5G to improve resource efficiency and support massive access in all …

DeepMuD: Multi-user detection for uplink grant-free NOMA IoT networks via deep learning

A Emir, F Kara, H Kaya… - IEEE Wireless …, 2021 - ieeexplore.ieee.org
In this letter, we propose a deep learning-aided multi-user detection (DeepMuD) in uplink
non-orthogonal multiple access (NOMA) to empower the massive machine-type …

Multi-user detection using ADMM-based compressive sensing for uplink grant-free NOMA

AC Cirik, NM Balasubramanya… - IEEE Wireless …, 2017 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) is considered a primary candidate addressing the
challenge of massive connectivity in fifth generation wireless communication systems. In this …

Dynamic compressive sensing-based multi-user detection for uplink grant-free NOMA

B Wang, L Dai, Y Zhang, T Mir… - IEEE Communications …, 2016 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) can support more users than OMA techniques
using the same wireless resources, which is expected to support massive connectivity for …