A GFlowNet learns to sample time-modulated IRS configurations with probability proportional to sum rate at intended user directions, enabling multi-user directional modulation after training on a tiny fraction of the configuration space.
Secrecy transmit beamforming for hetero- geneous networks,
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Secure Time-Modulated Intelligent Reflecting Surface via Generative Flow Networks
A GFlowNet learns to sample time-modulated IRS configurations with probability proportional to sum rate at intended user directions, enabling multi-user directional modulation after training on a tiny fraction of the configuration space.