AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A deep reinforcement learning scheduler that jointly sets the TWT schedule, the station-to-group assignment, and a novel Power Delivery Window that transmits RF energy to sleeping harvesters, and raises fairness in 89% of scenarios.
Target Wake Time (TWT) in IEEE 802.11ax enables significant power savings by coordinating station sleep schedules, but optimal TWT parameter selection under heterogeneous traffic remains an open challenge. We present a deep reinforcement learning framework for dynamic TWT scheduling that is protocol-compliant by design...
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