Hybrid CAVIAR Simulations and Reinforcement Learning Applied to 5G Systems: Experiments with Scheduling and Beam Selection
Reinforcement Learning (RL) is a learning paradigm suitable for problems in which an agent has to maximize a given reward, while interacting with an ever-changing environment. This class of problem appears in several research topics of the 5th Generation (5G) and the 6th Generation (6G) of mobile ne...
| Autor principal: | BORGES, João Paulo Tavares |
|---|---|
| Grau: | Dissertação |
| Idioma: | eng |
| Publicado em: |
Universidade Federal do Pará
2024
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| Assuntos: | |
| Acesso em linha: |
https://repositorio.ufpa.br/jspui/handle/2011/16551 |