A Stackelberg-Bayesian game combined with memory-based Q-learning detects a malicious receiver in a simulated 6G urban network with 69% accuracy and optimizes beamforming.
Comparison of optimization techniques and machine learning methods for optimized beamforming in wireless networks,
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6G Sensing Security: Distributed Game-Theoretic RL for Urban Beamforming and Attacker Detection
A Stackelberg-Bayesian game combined with memory-based Q-learning detects a malicious receiver in a simulated 6G urban network with 69% accuracy and optimizes beamforming.