A HAPPO-based multi-agent scheduler for TSN queues reduces XR frame waiting times and tail delays in simulated MEC scenarios.
IEEE Standard for local and metropolitan area networks—bridges and bridged networks—amendment 25: Enhancements for scheduled traffic,IEEE Standard 802.1qbv-2015, 2016, pp. 1–57,
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Multi-Agent Reinforcement Learning for Online Traffic Scheduling in Time-Sensitive Application
A HAPPO-based multi-agent scheduler for TSN queues reduces XR frame waiting times and tail delays in simulated MEC scenarios.