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 …
Contextual combinatorial beam management via online probing for multiple access mmwave wireless networks
Due to the exponential increase in wireless devices and a diversification of network
services, unprecedented challenges, such as managing heterogeneous data traffic and …
services, unprecedented challenges, such as managing heterogeneous data traffic and …
A Survey on AI-driven Energy Optimisation in Terrestrial Next Generation Radio Access Networks
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 …
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 …
free massive MIMO video communication systems. The proposed cross-layer approach …
Multi-Beam Management and Resource Allocation for LEO Satellite-Assisted IoT Networks
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 …
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
Non-orthogonal multiple access (NOMA) is a key technology for future wireless networks,
enabling improved spectral efficiency and massive device connectivity. However, optimizing …
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 …
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 …
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
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 …
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 …
harvesting (NOMAwEH) subject to realistic considerations including nonlinear energy …