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Scheduling and Power Control for Wireless Multicast Systems via Deep Reinforcement Learning †
Multicasting in wireless systems is a natural way to exploit the redundancy in user requests in a content centric network. Power control and optimal scheduling can significantly improve the wireless multicast network’s performance under fading. However, the model-based approaches for power control a...
Autores principales: | Raghu, Ramkumar, Panju, Mahadesh, Aggarwal, Vaneet, Sharma, Vinod |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700614/ https://www.ncbi.nlm.nih.gov/pubmed/34945861 http://dx.doi.org/10.3390/e23121555 |
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