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,...

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Detalles Bibliográficos
Autores principales: Dašić, Dejan, Ilić, Nemanja, Vučetić, Miljan, Perić, Miroslav, Beko, Marko, Stanković, Miloš S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8122937/
https://www.ncbi.nlm.nih.gov/pubmed/33922677
http://dx.doi.org/10.3390/s21092970

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