65 citations · 197 across the 32 of their papers we have counts for
10 papers · 1 filter
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…
Secure OFDM-IM ISAC With Artificial-Noise-Aided Index Deception
Ufuk Altun, Onur Günlü
We propose an artificial noise (AN)-aided, secure OFDM with index modulation (OFDM-IM) framework for integrated sensing and communication (ISAC). Consider a security-critical scena…
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.…
EML-AirComp: Layered Over-the-Air Computation from a Single Nomographic Gate
Onur Günlü
Over-the-air computation (AirComp) exploits multiple-access superposition to compute functions of distributed data without separately decoding all terminal messages. We study a reu…
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…
ISAC Privacy: Challenges and Solutions for 6G
Onur Günlü, Stefano Tomasin, João P. Vilela +4
Integrated sensing and communication (ISAC) is a promising feature of future communication networks. While spatial sensing can improve network performance and enable external servi…
Secure Integrated Sensing and Communication: Information Theory Offers Insights
Truman Welling, Onur Günlü, Aylin Yener
Integrated sensing and communication (ISAC) combines sensing and communication within a shared system framework by using the same transmitted signal for both objectives. ISAC can i…
Secure Rate-Distortion-Perception: A Randomized Distributed Function Computation Approach for Realism
Gustaf Åhlgren, Onur Günlü
Fundamental rate-distortion-perception (RDP) trade-offs arise in applications requiring maintained perceptual quality of reconstructed data, such as neural image compression. When…
Deep Randomized Distributed Function Computation (DeepRDFC): Neural Distributed Channel Simulation
Didrik Bergström, Onur Günlü
The randomized distributed function computation (RDFC) framework, which unifies many cutting-edge distributed computation and learning applications, is considered. An autoencoder (…
Randomized Distributed Function Computation (RDFC): Ultra-Efficient Semantic Communication Applications to Privacy
Onur Günlü
We establish the randomized distributed function computation (RDFC) framework, in which a sender transmits just enough information for a receiver to generate a randomized function…