A Self-Regulating Power-Control Scheme Using Reinforcement Learning for D2D Communication Networks

We investigate a power control problem for overlay device-to-device (D2D) communication networks relying on a deep deterministic policy gradient (DDPG), which is a model-free off-policy algorithm for learning continuous actions such as transmitting power levels. We propose a DDPG-based self-regulati...

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Detalles Bibliográficos
Autor principal: Ban, Tae-Won
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269832/
https://www.ncbi.nlm.nih.gov/pubmed/35808389
http://dx.doi.org/10.3390/s22134894

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269832/
https://www.ncbi.nlm.nih.gov/pubmed/35808389
http://dx.doi.org/10.3390/s22134894

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