Unveiling the potential of NOMA: A journey to next generation multiple access
The revolutionary sixth-generation wireless communications technologies and applications,
notably digital twin networks (DTN), connected autonomous vehicles (CAVs), space-air …
notably digital twin networks (DTN), connected autonomous vehicles (CAVs), space-air …
Artificial Intelligence-based Fair Allocation in NOMA Technique: A Review
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 …
communication. It permits multiple users to efficiently allot a frequency band by adjusting …
Deep learning-based resource allocation scheme for heterogeneous NOMA networks
In this paper, we consider downlink power-domain non-orthogonal multiple access (NOMA)
in heterogeneous networks (HetNets) and propose resource allocation algorithms for …
in heterogeneous networks (HetNets) and propose resource allocation algorithms for …
Novel Resource Allocation Algorithm for IoT Networks With Multi-Carrier NOMA
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 …
of Things (IoT) networks using downlink multicarrier nonorthogonal multiple access (MC …
A survey on deep learning-based resource allocation schemes
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 …
has required a high computational complexity to handle wireless resources. To tackle this …
An Overview of Deep Learning for Resource Management in mmWave-NOMA
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 …
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
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 …
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
In the heterogeneous network (HetNet) employing downlink non-orthogonal multiple access
(NOMA), we focus on the non-convex optimization problem to optimize the spectral …
(NOMA), we focus on the non-convex optimization problem to optimize the spectral …
Robust DNNs for power allocation problems in cognitive relay networks
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 …
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 …
resource allocation, beamforming, and power allocation in multi-cell multi-carrier non …