[HTML][HTML] Hybrid NOMA/OMA-based dynamic power allocation scheme using deep reinforcement learning in 5G networks
Non-orthogonal multiple access (NOMA) is considered a potential technique in fifth-
generation (5G). Nevertheless, it is relatively complex when applying NOMA to a massive …
generation (5G). Nevertheless, it is relatively complex when applying NOMA to a massive …
Efficient user clustering and reinforcement learning based power allocation for NOMA systems
Non-orthogonal multiple access (NOMA) is a popular multiplexing technique for the 5th
generation (5G) network due to its spectral efficiency, high reliability, and massive …
generation (5G) network due to its spectral efficiency, high reliability, and massive …
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 …
Generalized user grouping in NOMA: An overlapping perspective
Non-orthogonal multiple access (NOMA) is regarded as a promising technology to provide
high spectral efficiency and support massive connectivity in 5G systems. Traditionally …
high spectral efficiency and support massive connectivity in 5G systems. Traditionally …
Application of deep learning to energy-efficient power allocation scheme for 5G SC-NOMA system with imperfect SIC
W Saetan, S Thipchaksurat - 2019 16th International …, 2019 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) is a multiuser access technique for 5G
communication system, which has drawn more attention from both academia and industry …
communication system, which has drawn more attention from both academia and industry …
Energy-efficient power allocation in downlink multi-cell multi-carrier NOMA: Special deep neural network framework
Energy-efficient resource allocation for multi-cell multi-carrier non-orthogonal multiple
access (MCMC-NOMA) is a challenging task due to the interference and other related …
access (MCMC-NOMA) is a challenging task due to the interference and other related …
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 …
Fairness-aware throughput maximization for underlaying cognitive NOMA networks
To improve the radio spectral efficiency for 5G and beyond, novel radio access techniques
need to be designed to accommodate unprecedented number of connected devices, and …
need to be designed to accommodate unprecedented number of connected devices, and …
A dynamic power allocation scheme in power-domain NOMA using actor-critic reinforcement learning
Non-orthogonal multiple access (NOMA) is one of the most promising technologies in the
next-generation cellular communication. However, the effective power allocation strategy …
next-generation cellular communication. However, the effective power allocation strategy …
Dynamic user pairing and power allocation for NOMA with deep reinforcement learning
F Jiang, Z Gu, C Sun, R Ma - 2021 IEEE Wireless …, 2021 - ieeexplore.ieee.org
In this paper, we investigate the user pairing and power allocation scheme for multiple
cellular users (CUs) under the downlink non-orthogonal multiple access (NOMA) system. To …
cellular users (CUs) under the downlink non-orthogonal multiple access (NOMA) system. To …