DeepMuD: Multi-user detection for uplink grant-free NOMA IoT networks via deep learning
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 …
non-orthogonal multiple access (NOMA) to empower the massive machine-type …
Iterative joint channel estimation, user activity tracking, and data detection for FTN-NOMA systems supporting random access
Given the requirements of increased data rate and massive connectivity in the Internet-of-
things (IoT) applications of the fifth-generation communication systems (5G), non-orthogonal …
things (IoT) applications of the fifth-generation communication systems (5G), non-orthogonal …
A random fourier feature based receiver detection for enhanced BER performance in nonlinear PD-NOMA
Non-orthogonal multiple access (NOMA) has been proposed as a potential enabler for
massive connectivity. Among the different NOMA schemes, power-domain (PD-NOMA) is …
massive connectivity. Among the different NOMA schemes, power-domain (PD-NOMA) is …
Data-Driven Low-Complexity Detection in Grant-Free NOMA for IoT
MB Shahab, SJ Johnson… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
This article proposes a low-complexity data-driven multiuser detector for grant-free
nonorthogonal multiple access (GF-NOMA), which has gained significant interest in Internet …
nonorthogonal multiple access (GF-NOMA), which has gained significant interest in Internet …
Joint active user detection and channel estimation for grant-free NOMA-OTFS in LEO constellation Internet-of-Things
X Zhou, Z Gao - 2021 IEEE/CIC International Conference on …, 2021 - ieeexplore.ieee.org
The flourishing low-Earth orbit (LEO) constellation communication network provides a
promising solution for seamless coverage services to Internet-of-Things (IoT) terminals …
promising solution for seamless coverage services to Internet-of-Things (IoT) terminals …
Enumeration and identification of active users for grant-free NOMA using deep neural networks
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 …
number of uncoordinated devices exhibiting sporadic traffic, transmitting short packets to a …
A deep learning approach for MIMO-NOMA downlink signal detection
C Lin, Q Chang, X Li - Sensors, 2019 - mdpi.com
As a key candidate technique for fifth-generation (5G) mobile communication systems, non-
orthogonal multiple access (NOMA) has attracted considerable attention in the field of …
orthogonal multiple access (NOMA) has attracted considerable attention in the field of …
Detection for 5G-NOMA: An online adaptive machine learning approach
Non-orthogonal multiple access (NOMA) has emerged as a promising radio access
technique for enabling the performance enhancements promised by the fifth-generation (5G) …
technique for enabling the performance enhancements promised by the fifth-generation (5G) …
Deep learning-based user activity detection and channel estimation in grant-free NOMA
In the uplink machine-type communication (MTC) system, a combination of grant-free
transmission and non-orthogonal multiple access (NOMA) emerges to reduce the control …
transmission and non-orthogonal multiple access (NOMA) emerges to reduce the control …
Uplink NOMA signal transmission with convolutional neural networks approach
LIN Chuan, C Qing, LI Xianxu - Journal of Systems Engineering …, 2020 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA), featuring high spectrum efficiency, massive
connectivity and low latency, holds immense potential to be a novel multi-access technique …
connectivity and low latency, holds immense potential to be a novel multi-access technique …