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.
5G; Study on channel model for frequencies from 0.5 to 100 GHz (3GPP TR 38.901 version 16.1.0 Release 16),
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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.