Deep learning based radio resource management in NOMA networks: User association, subchannel and power allocation
H Zhang, H Zhang, K Long… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the rapid development of future wireless communication, the combination of NOMA
technology and millimeter-wave (mmWave) technology has become a research hotspot. The …
technology and millimeter-wave (mmWave) technology has become a research hotspot. The …
Energy-efficient resource allocation in uplink NOMA systems with deep reinforcement learning
Y Zhang, X Wang, Y Xu - 2019 11th international conference …, 2019 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) is regarded as a promising technology to satisfy
the huge access demand and data rate requirements of the next generation network. In this …
the huge access demand and data rate requirements of the next generation network. In this …
DRL-based energy-efficient resource allocation frameworks for uplink NOMA systems
X Wang, Y Zhang, R Shen, Y Xu… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Nonorthogonal multiple access (NOMA) is one of the promising technologies to meet the
huge access demand and high data-rate requirements of the next-generation networks. In …
huge access demand and high data-rate requirements of the next-generation networks. In …
Deep reinforcement learning for throughput improvement of the uplink grant-free NOMA system
Facing the dramatic increase of mobile devices and the scarcity of spectrum resources, grant-
free nonorthogonal multiple access (NOMA) emerges as an enabling technology for …
free nonorthogonal multiple access (NOMA) emerges as an enabling technology for …
Joint energy efficient subchannel and power optimization for a downlink NOMA heterogeneous network
Non-orthogonal multiple access (NOMA) has been considered as a key technology in the
fifth-generation mobile communication networks due to its superior spectrum efficiency …
fifth-generation mobile communication networks due to its superior spectrum efficiency …
Joint power allocation and channel assignment for NOMA with deep reinforcement learning
Non-orthogonal multiple access (NOMA) has been considered as a significant candidate
technique for the next generation wireless communication to support high throughput and …
technique for the next generation wireless communication to support high throughput and …
Resource allocation in uplink NOMA-IoT networks: A reinforcement-learning approach
Non-orthogonal multiple access (NOMA) exploits the potential of the power domain to
enhance the connectivity for the Internet of Things (IoT). Due to time-varying communication …
enhance the connectivity for the Internet of Things (IoT). Due to time-varying communication …
Deep learning-based sum data rate and energy efficiency optimization for MIMO-NOMA systems
The increasing demands for massive connectivity, low latency, and high reliability of future
communication networks require new techniques. Multiple-input-multiple-output non …
communication networks require new techniques. Multiple-input-multiple-output non …
Deep neural network for resource management in NOMA networks
Resource management plays a crucial role in improving sum rate of non-orthogonal multiple
access (NOMA) networks. However, the traditional resource management methods have …
access (NOMA) networks. However, the traditional resource management methods have …
[HTML][HTML] Joint resource allocation for hybrid NOMA-assisted MEC in 6G networks
Abstract Multi-access Edge Computing (MEC) is an essential technology for expanding
computing power of mobile devices, which can combine the Non-Orthogonal Multiple …
computing power of mobile devices, which can combine the Non-Orthogonal Multiple …
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