Reinforcement Learning-Based Multihop Relaying: A Decentralized Q-Learning Approach

Conventional optimization-based relay selection for multihop networks cannot resolve the conflict between performance and cost. The optimal selection policy is centralized and requires local channel state information (CSI) of all hops, leading to high computational complexity and signaling overhead....

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Detalles Bibliográficos
Autores principales: Wang, Xiaowei, Wang, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534598/
https://www.ncbi.nlm.nih.gov/pubmed/34682034
http://dx.doi.org/10.3390/e23101310

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534598/
https://www.ncbi.nlm.nih.gov/pubmed/34682034
http://dx.doi.org/10.3390/e23101310

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