A GRU-based predictor combined with value-decomposition multi-agent reinforcement learning improves the tradeoff between user data rates and digital twin synchronization in a simulated wireless network.
Digital twin of wireless systems: Overview, taxonomy, challenges, and opportunities,
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Optimizing Wireless Resource Management and Synchronization in Digital Twin Networks
A GRU-based predictor combined with value-decomposition multi-agent reinforcement learning improves the tradeoff between user data rates and digital twin synchronization in a simulated wireless network.