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Distributed Spectrum Management in Cognitive Radio Networks by Consensus-Based Reinforcement Learning†
In this paper, we propose a new algorithm for distributed spectrum sensing and channel selection in cognitive radio networks based on consensus. The algorithm operates within a multi-agent reinforcement learning scheme. The proposed consensus strategy, implemented over a directed, typically sparse,...
| Autores principales: | , , , , , |
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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/PMC8122937/ https://www.ncbi.nlm.nih.gov/pubmed/33922677 http://dx.doi.org/10.3390/s21092970 |