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 …
Machine learning-based generalized user grouping in NOMA
Non-orthogonal multiple access (NOMA) provides high spectral efficiency and supports
massive connectivity in 5G systems. Traditionally, NOMA user grouping is non-overlapping …
massive connectivity in 5G systems. Traditionally, NOMA user grouping is non-overlapping …
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 …
Work-in-Progress: AI Based Resource and Power Allocation for NOMA Systems
Non-orthogonal multiple access (NOMA) is a promising technology to meet the challenging
requirements of 5G services by providing spectral efficient resource utilization. As the …
requirements of 5G services by providing spectral efficient resource utilization. As the …
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 …
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 …
Power allocation and user grouping for NOMA downlink systems
J Li, T Gao, B He, W Zheng, F Lin - Applied Sciences, 2023 - mdpi.com
Non-orthogonal multiple access (NOMA) technology allows multiple users to use the same
time-frequency resource to send signals, which can improve spectral efficiency and …
time-frequency resource to send signals, which can improve spectral efficiency and …
Interference-aware user grouping strategy in NOMA systems with QoS constraints
F Guo, H Lu, D Zhu, H Wu - IEEE INFOCOM 2019-IEEE …, 2019 - ieeexplore.ieee.org
To meet the performance and complexity requirements from practical deployment of non-
orthogonal multiple access (NOMA) systems, several users are grouped together for NOMA …
orthogonal multiple access (NOMA) systems, several users are grouped together for NOMA …
Dynamic user pairing and power allocation for throughput maximization in NOMA systems
Non-orthogonal multiple access (NOMA) can enhance the spectral efficiency of the fifth
generation (5G) wireless networks. System level optimization on power allocation and user …
generation (5G) wireless networks. System level optimization on power allocation and user …
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- power allocation reinforcement learning
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