7 papers
Autonomous Discovery of Wireless Communications Algorithms
Fayçal Aït Aoudia, Jakob Hoydis, Sebastian Cammerer +4
Large language model (LLM)-driven evolutionary search is an emerging algorithm-discovery paradigm that has already produced novel results in several scientific fields. Yet its appl…
The AI Telco Engineer: Toward Autonomous Discovery of Wireless Communications Algorithms
Fayçal Aït Aoudia, Jakob Hoydis, Sebastian Cammerer +3
Agentic AI is rapidly transforming the way research is conducted, from prototyping ideas to reproducing results found in the literature. In this paper, we explore the ability of ag…
SINR Estimation under Limited Feedback via Online Convex Optimization
Lorenzo Maggi, Boris Bonev, Reinhard Wiesmayr +2
We introduce a novel online convex optimization (OCO) framework to estimate the user's signal-to-interference-plus-noise ratio (SINR) from ACK/NACK feedback, channel quality indica…
SALAD: Self-Adaptive Link Adaptation
Reinhard Wiesmayr, Lorenzo Maggi, Sebastian Cammerer +3
Adapting the modulation and coding scheme (MCS) to the wireless link quality is critical for maximizing spectral efficiency while ensuring reliability. We propose SALAD (self-adapt…
Site-Specific Finetuning of Neural Receivers with Real-World 5G NR Measurements
Nuri Berke Baytekin, Reinhard Wiesmayr, Sebastian Cammerer +2
Finetuning wireless receivers to a specific deployment scenario can yield significant error-rate performance improvements without increasing processing complexity. However, site-sp…
Serial Polar Automorphism Ensemble Decoders for Physical Unclonable Functions
Marvin Rübenacke, Sebastian Cammerer, Michael Sullivan +1
Physical unclonable functions (PUFs) involve challenging practical applications of error-correcting codes (ECCs), requiring extremely low failure rates on the order of an…