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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....
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2021
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| 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 |