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cs.IT2026
Digital-Twin-Referenced Belief-Guided Q-Learning for Jammer Identification and Beam-Power Control in a mmWave Model
Parmida Geranmayeh, Onur Günlü
Digital Twin (DT) combined with reinforcement learning (RL) can support adaptive resource allocation and security-aware decision-making by comparing expected and observed network b…
cs.IT2026
Bayesian-Guided Cooperative RL Beamforming for Wireless Adversarial User Detection
Parmida Geranmayeh, Onur Günlü
In next-generation wireless networks, communication systems are expected to go beyond simple data transmission and simultaneously provide high data rates, efficiency, and security.…
cs.IT2026
6G Sensing Security: Distributed Game-Theoretic RL for Urban Beamforming and Attacker Detection
Parmida Geranmayeh, Onur Günlü
In next-generation networks, communication systems will no longer be limited to data transmission and will be expected to acquire awareness of the surrounding environment. This lea…