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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...

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Detalles Bibliográficos
Autores principales: Qi, Hang, Huang, Hao, Hu, Zhiqun, Wen, Xiangming, Lu, Zhaoming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
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