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 …
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 …
Energy-efficient resource allocation for downlink non-orthogonal multiple access network
Non-orthogonal multiple access (NOMA) is a promising technique for the fifth generation
mobile communication due to its high spectral efficiency. By applying superposition coding …
mobile communication due to its high spectral efficiency. By applying superposition coding …
Resource allocation for downlink NOMA systems: Key techniques and open issues
This article presents advances in resource allocation for downlink non-orthogonal multiple
access (NOMA) systems, focusing on user pairing and power allocation algorithms. The …
access (NOMA) systems, focusing on user pairing and power allocation algorithms. The …
DeepNOMA: A unified framework for NOMA using deep multi-task learning
Non-orthogonal multiple access (NOMA) will provide massive connectivity for future Internet
of Things. However, the intrinsic non-orthogonality in NOMA makes it non-trivial to approach …
of Things. However, the intrinsic non-orthogonality in NOMA makes it non-trivial to approach …
On optimal power allocation for downlink non-orthogonal multiple access systems
Non-orthogonal multiple access (NOMA) enables power-domain multiplexing via successive
interference cancellation (SIC) and has been viewed as a promising technology for 5G …
interference cancellation (SIC) and has been viewed as a promising technology for 5G …
Deep learning for an effective nonorthogonal multiple access scheme
Nonorthogonal multiple access (NOMA) has been considered as an essential multiple
access technique for enhancing system capacity and spectral efficiency in future …
access technique for enhancing system capacity and spectral efficiency in future …
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 …
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 …
Energy efficient dynamic resource optimization in NOMA system
Non-orthogonal multiple access (NOMA) with successive interference cancellation (SIC) is a
promising technique for next generation wireless communications. Using NOMA, more than …
promising technique for next generation wireless communications. Using NOMA, more than …