A CSI-free hierarchical MARL framework for reconfigurable reflectors uses localization data and MAPPO to achieve up to 7.79 dB RSSI gains over centralized baselines in ray-tracing simulations.
A Deep Learning Based Modeling of Reconfigurable Intelligent Surface As- sisted Wireless Communications for Phase Shift Configuration,
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Learning to Focus: CSI-Free Hierarchical MARL for Reconfigurable Reflectors
A CSI-free hierarchical MARL framework for reconfigurable reflectors uses localization data and MAPPO to achieve up to 7.79 dB RSSI gains over centralized baselines in ray-tracing simulations.