activity
20172026
most citedOn Deep Learning-Based Channel Decoding

47 citations · 144 across the 20 of their papers we have counts for

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Showing cs.ITShow all

33 papers · 1 filter

cs.IT2026

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…

cs.IT2026

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…

cs.IT2025

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…

cs.IT2025

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…

cs.IT2024★ 1 cited

Design of a Standard-Compliant Real-Time Neural Receiver for 5G NR

Reinhard Wiesmayr, Sebastian Cammerer, Fayçal Aït Aoudia +3

We detail the steps required to deploy a multi-user multiple-input multiple-output (MU-MIMO) neural receiver (NRX) in an actual cellular communication system. This raises several e…

cs.IT2023

A Neural Receiver for 5G NR Multi-user MIMO

Sebastian Cammerer, Fayçal Aït Aoudia, Jakob Hoydis +4

We introduce a neural network (NN)-based multiuser multiple-input multiple-output (MU-MIMO) receiver with 5G New Radio (5G NR) physical uplink shared channel (PUSCH) compatibility.…