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On-Demand Channel Bonding in Heterogeneous WLANs: A Multi-Agent Deep Reinforcement Learning Approach
In order to meet the ever-increasing traffic demand of Wireless Local Area Networks (WLANs), channel bonding is introduced in IEEE 802.11 standards. Although channel bonding effectively increases the transmission rate, the wider channel reduces the number of non-overlapping channels and is more susc...
Autores principales: | Qi, Hang, Huang, Hao, Hu, Zhiqun, Wen, Xiangming, Lu, Zhaoming |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7284444/ https://www.ncbi.nlm.nih.gov/pubmed/32422964 http://dx.doi.org/10.3390/s20102789 |
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