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 …

Contextual combinatorial beam management via online probing for multiple access mmwave wireless networks

Z Li, X Luo, M Chen, C Xu, S Mao… - IEEE Journal on Selected …, 2025 - ieeexplore.ieee.org
Due to the exponential increase in wireless devices and a diversification of network
services, unprecedented challenges, such as managing heterogeneous data traffic and …

A Survey on AI-driven Energy Optimisation in Terrestrial Next Generation Radio Access Networks

K Sthankiya, N Saeed, G McSorley, M Jaber… - IEEE …, 2024 - ieeexplore.ieee.org
This survey uncovers the tension between AI techniques designed for energy saving in
mobile networks and the energy demands those same techniques create. We compare …

[HTML][HTML] Deep Learning-Based Cross-Layer Power Allocation for Downlink Cell-Free Massive Multiple-Input–Multiple-Output Video Communication Systems

WY Lin, TH Chang, SM Tseng - Symmetry, 2023 - mdpi.com
We propose a deep learning-based cross-layer power allocation method for asymmetric cell-
free massive MIMO video communication systems. The proposed cross-layer approach …

Multi-Beam Management and Resource Allocation for LEO Satellite-Assisted IoT Networks

D Kim, H Jung, IH Lee, D Niyato - IEEE Internet of Things …, 2025 - ieeexplore.ieee.org
Multi-beam low-Earth orbit (LEO) satellite communication is a promising solution for
providing high data rate and wide area coverage. Therefore, satellite communication is …

Toward Energy-Efficient Dynamic Resource Allocation in Uplink NOMA Systems: Deep Reinforcement Learning for Single and multi-cell NOMA Systems

A Rabee, I Barhumi - IEEE Transactions on Vehicular …, 2025 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) is a key technology for future wireless networks,
enabling improved spectral efficiency and massive device connectivity. However, optimizing …

End-to-end supervised learning for NOMA-enabled resource allocation: A dynamic and scalable approach

L Yang, J Jia, J Chen, B Yin, X Wang - Peer-to-Peer Networking and …, 2025 - Springer
With the integration of wireless networks and artificial intelligence, many network problems
have new solving paradigms. This drives us to rethink the classic resource allocation …

Intelligent Power Allocation Optimization Algorithm for Enhanced CR-NOMA Network via DenseNet-BiLSTM

Y Fu, B Chen, C Liu, K Lin - IEEE Transactions on Cognitive …, 2024 - ieeexplore.ieee.org
This paper presents a novel non-orthogonal multiple access (NOMA) network featuring an
unmanned aerial vehicle (UAV) relay within underlay cognitive radio (CR) framework …

[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 …

Performance Evaluation of Non-Orthogonal Multiple Access with Energy Harvesting

VK Ho - 2023 IEEE 15th International Conference on …, 2023 - ieeexplore.ieee.org
The paper evaluates the system throughput of non-orthogonal multiple access with energy
harvesting (NOMAwEH) subject to realistic considerations including nonlinear energy …