[HTML][HTML] Dynamic user resource allocation for downlink multicarrier NOMA with an actor–critic method

X Wang, K Meng, X Wang, Z Liu, Y Ma - Energies, 2023 - mdpi.com
Future wireless communication systems require higher performance requirements. Based
on this, we study the combinatorial optimization problem of power allocation and dynamic …

Joint device assignment and power allocation in multihoming heterogeneous multicarrier NOMA networks

W Yin, L Xu, P Wang, Y Wang, Y Yang… - IEEE Systems …, 2020 - ieeexplore.ieee.org
To improve the radio throughput, novel radio access techniques need to be designed. With
exploiting the multiuser diversity at power domain, nonorthogonal multiple access (NOMA) is …

[HTML][HTML] NOMA resource allocation method in IoV based on prioritized DQN-DDPG network

M He, Y Li, X Wang, Z Liu - EURASIP Journal on Advances in Signal …, 2021 - Springer
To meet the demands of massive connections in the Internet-of-vehicle communications,
non-orthogonal multiple access (NOMA) is utilized in the local wireless networks. In NOMA …

Energy Efficient Resource Allocation Framework Based on Dynamic Meta-Transfer Learning for V2X Communications

RM Sohaib, O Onireti, Y Sambo… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Most existing studies consider the deep reinforcement learning (DRL) based Q-learning
approach due to its ability to quickly converge to a near-optimal solution, resulting in …

Performance Analysis and Optimization for Distributed RIS-Assisted mmWave Massive MIMO With Multi-Antenna Users and Hardware Impairments

Z Wang, Y Zhang, H Zhou, J Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Confronted with the challenges of interruptions and blockages caused by dense obstacles in
millimeter-wave (mmWave) communication, we propose to employ a flexible distributed …

Cooperative Caching, Rendering and Beamforming for RIS-assisted Wireless Virtual Reality Networks

J Chen, J Xia, J Jia, L Yang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Wireless virtual reality networks (WVRNs) provide seamless connectivity between virtual
reality devices with colossal application and commercial value. However, the main problem …

DRL-Based Resource Allocation and Trajectory Planning for NOMA-Enabled Multi-UAV Collaborative Caching 6 G Network

P Qin, Y Fu, J Zhang, S Geng, J Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Aerial platform-based network has been invoked as an appealing assistance for terrestrial
cellular networks. Caching at edge UAVs is an effective emerging solution for relieving the …

Model-free learning of optimal deterministic resource allocations in wireless systems via action-space exploration

H Hashmi, DS Kalogerias - 2021 IEEE 31st International …, 2021 - ieeexplore.ieee.org
Wireless systems resource allocation refers to perpetual and challenging nonconvex
constrained optimization tasks, which are especially timely in modern communications and …

Deep Reinforcement Learning for Computation Rate Maximization in RIS-Enabled Mobile Edge Computing

J Xu, B Ai, L Wu, Y Zhang, W Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Reconfigurable intelligent surface (RIS) is a promising technology to enhance the
performance of mobile edge computing (MEC) network. Nevertheless, the RIS-enabled MEC …

[HTML][HTML] Dynamic resource allocation for energy-efficient downlink NOMA systems in 5G networks

O Abuajwa, S Mitani - Heliyon, 2024 - cell.com
Abstract Non-Orthogonal Multiple Access (NOMA) is a promising energy-efficient technology
designed to satisfy the demands of future networks by efficiently sharing radio resources. In …