Machine learning for user partitioning and phase shifters design in RIS-aided NOMA networks

Z Yang, Y Liu, Y Chen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
A novel reconfigurable intelligent surface (RIS) aided non-orthogonal multiple access
(NOMA) downlink transmission framework is proposed. We formulate a long-term stochastic …
被引用次数：61 相关文章

Machine Learning for User Partitioning and Phase Shifters Design in RIS-Aided NOMA Networks

Z Yang, Y Liu, Y Chen, N Al-Dhahir - arXiv preprint arXiv:2101.01212, 2021 - arxiv.org
A novel reconfigurable intelligent surface (RIS) aided non-orthogonal multiple access
(NOMA) downlink transmission framework is proposed. We formulate a long-term stochastic …

Machine Learning for User Partitioning and Phase Shifters Design in RIS-Aided NOMA Networks

Z Yang, Y Liu, Y Chen, N Al-Dhahir - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
A novel reconfigurable intelligent surface (RIS) aided non-orthogonal multiple access
(NOMA) downlink transmission framework is proposed. We formulate a long-term stochastic …
[PDF] researchgate.net

[PDF][PDF] Machine Learning for User Partitioning and Phase Shifters Design in RIS-Aided NOMA Networks

Z Yang, Y Liu, Y Chen, N Al-Dhahir - arXiv preprint arXiv …, 2021 - researchgate.net
A novel reconfigurable intelligent surface (RIS) aided non-orthogonal multiple access
(NOMA) downlink transmission framework is proposed. We formulate a long-term stochastic …