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Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA
In this work, we examine an intelligent reflecting surface (IRS) assisted downlink non-orthogonal multiple access (NOMA) scenario intending to maximize the sum-rate of users. The optimization problem at the IRS is quite complicated, and non-convex since it requires the tuning of the phase shift refl...
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2022-01-01
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| Colecção: | IEEE Open Journal of the Communications Society |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/9751048/ |
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