Unveiling the potential of NOMA: A journey to next generation multiple access

A Ahmed, W **ngfu, A Hawbani, W Yuan… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
The revolutionary sixth-generation wireless communications technologies and applications,
notably digital twin networks (DTN), connected autonomous vehicles (CAVs), space-air …

Artificial Intelligence-based Fair Allocation in NOMA Technique: A Review

S Kirtay, K Yildiz, VG Bocekci - International Journal of Sensors …, 2024 - benthamdirect.com
Non-Orthogonal Multiple Access (NOMA) is an innovation that has great potential in wireless
communication. It permits multiple users to efficiently allot a frequency band by adjusting …

Deep learning-based resource allocation scheme for heterogeneous NOMA networks

D Kim, S Kwon, H Jung, IH Lee - IEEE Access, 2023 - ieeexplore.ieee.org
In this paper, we consider downlink power-domain non-orthogonal multiple access (NOMA)
in heterogeneous networks (HetNets) and propose resource allocation algorithms for …

Novel Resource Allocation Algorithm for IoT Networks With Multi-Carrier NOMA

D Kim, H Jung, IH Lee, D Niyato - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
In this work, we propose a novel algorithm for subchannel and power allocation for Internet
of Things (IoT) networks using downlink multicarrier nonorthogonal multiple access (MC …

A survey on deep learning-based resource allocation schemes

D Kim, H Jung, IH Lee - 2023 14th International Conference on …, 2023 - ieeexplore.ieee.org
The growing number of complex and heterogeneous nodes and base station applications
has required a high computational complexity to handle wireless resources. To tackle this …

An Overview of Deep Learning for Resource Management in mmWave-NOMA

R Ramli, BM Lee - IEEE Access, 2024 - ieeexplore.ieee.org
Millimeter-wave (mmWave) frequencies ranging from 30 to 300 GHz offer vast bandwidth
and high data transmission rates, making them ideal for high-throughput applications and …

User Selection With Effective Channel Quality Feedback for PMI-Based MU-MIMO

M Hong, H Lee, D Hong, K Min - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This paper addresses user selection for precoding matrix indicator (PMI)-based multi-user
multiple-input multiple-output (MU-MIMO) systems. Under a scenario where channel …

[HTML][HTML] DNN-based algorithm for joint SIC ordering and power allocation in downlink NOMA-enabled heterogeneous networks

D Kim, JB Kim, H Jung, IH Lee - ICT Express, 2024 - Elsevier
In the heterogeneous network (HetNet) employing downlink non-orthogonal multiple access
(NOMA), we focus on the non-convex optimization problem to optimize the spectral …

Robust DNNs for power allocation problems in cognitive relay networks

Y Benatia, A Savard, R Negrel, EV Belmega - 2024 - hal.science
In this paper, we investigate deep neural network (DNN)-based power allocation policies
maximizing the opportunistic rate of a relay-aided cognitive radio network under a quality of …

Generative Model for Joint Resource Management in Multi-Cell Multi-Carrier NOMA Networks

EM Diallo - arxiv preprint arxiv:2405.05531, 2024 - arxiv.org
In this work, we design a generative artificial intelligence (GAI)-based framework for joint
resource allocation, beamforming, and power allocation in multi-cell multi-carrier non …