Generalized approximate message passing based bayesian learning detectors for uplink grant-free NOMA
X Zhang, P Fan, L Hao, X Quan - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The existing sparse Bayesian learning (SBL) and pattern coupled sparse Bayesian learning
(PCSBL) multiuser detection (MUD) algorithms for grant-free non-orthogonal multiple access …
(PCSBL) multiuser detection (MUD) algorithms for grant-free non-orthogonal multiple access …
Improved detection in successive interference cancellation NOMA OFDM receiver
HS Ghazi, KW Wesołowski - IEEE Access, 2019 - ieeexplore.ieee.org
A successive interference cancellation receiver is one of the important blocks in non-
orthogonal multiple access (NOMA) transmission. The quality of detection of the strongest …
orthogonal multiple access (NOMA) transmission. The quality of detection of the strongest …
Blind multi-user detection for autonomous grant-free high-overloading multiple-access without reference signal
Z Yuan, Y Hu, W Li, J Dai - 2018 IEEE 87th Vehicular …, 2018 - ieeexplore.ieee.org
In this paper, a novel blind multi-user detection (MUD) framework for autonomous grant-free
(AGF) high-overloading non-orthogonal multiple access (NOMA) is introduced in detail …
(AGF) high-overloading non-orthogonal multiple access (NOMA) is introduced in detail …
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 …
Grant-free non-orthogonal multiple access with multiple-antenna base station and its efficient receiver design
T Hara, K Ishibashi - IEEE Access, 2019 - ieeexplore.ieee.org
This paper investigates an uplink grant-free non-orthogonal multiple access (NOMA) system
with a multiple-antenna base station (BS), in which each user autonomously transmits its …
with a multiple-antenna base station (BS), in which each user autonomously transmits its …
NOMA receiver design for delay-sensitive systems
T Assaf, A Al-Dweik, MS El Moursi… - IEEE Systems …, 2020 - ieeexplore.ieee.org
Successive interference cancelation (SIC) has been considered widely for the detection of
downlink nonorthogonal multiple access (NOMA) signals. However, the sequential detection …
downlink nonorthogonal multiple access (NOMA) signals. However, the sequential detection …
Deep residual learning for otfs channel estimation with arbitrary noise
Orthogonal time frequency space (OTFS) modu-lation has proved its capability of achieving
significant error performance advantages over orthogonal frequency division mul-tiplexing …
significant error performance advantages over orthogonal frequency division mul-tiplexing …
Machine learning-based 5G-and-beyond channel estimation for MIMO-OFDM communication systems
Channel estimation plays a critical role in the system performance of wireless networks. In
addition, deep learning has demonstrated significant improvements in enhancing the …
addition, deep learning has demonstrated significant improvements in enhancing the …
Deep neural network-based active user detection for grant-free NOMA systems
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 …
free access and non-orthogonal multiple access (NOMA) have received great deal of …
Deep learning based OFDM channel estimation using frequency-time division and attention mechanism
A Yang, P Sun, T Rakesh, B Sun… - 2021 IEEE Globecom …, 2021 - ieeexplore.ieee.org
In this paper, we propose a frequency-time division network (FreqTimeNet) to improve the
performance of deep learning (DL) based OFDM channel estimation. This FreqTimeNet is …
performance of deep learning (DL) based OFDM channel estimation. This FreqTimeNet is …