A decentralized hierarchical multi-agent reinforcement learning algorithm for Wi-Fi coordinated spatial reuse, selecting target stations and transmit powers through high- and low-level policies, improves simulated throughput and delay over baselines.
IEEE 802.11 be Wi-Fi 7: New challenges and opportunities,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.MA 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Hierarchical Multi-Agent Reinforcement Learning-based Coordinated Spatial Reuse for Next Generation WLANs
A decentralized hierarchical multi-agent reinforcement learning algorithm for Wi-Fi coordinated spatial reuse, selecting target stations and transmit powers through high- and low-level policies, improves simulated throughput and delay over baselines.