activity
20122026
most citedLearned Belief-Propagation Decoding with Simple Scaling and SNR Adaptation

72 citations · 410 across the 39 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

eess.SP2023

Blind Frequency-Domain Equalization Using Vector-Quantized Variational Autoencoders

Jinxiang Song, Vincent Lauinger, Christian Häger +4

We propose a novel frequency-domain blind equalization scheme for coherent optical communications. The method is shown to achieve similar performance to its recently proposed time-…

cs.IT2023

Belief Propagation Decoding of Quantum LDPC Codes with Guided Decimation

Hanwen Yao, Waleed Abu Laban, Christian Häger +2

Quantum low-density parity-check (QLDPC) codes have emerged as a promising technique for quantum error correction. A variety of decoders have been proposed for QLDPC codes and many…

eess.SP2023

Semi-Supervised End-to-End Learning for Integrated Sensing and Communications

José Miguel Mateos-Ramos, Baptiste Chatelier, Christian Häger +3

Integrated sensing and communications (ISAC) is envisioned as one of the key enablers of next-generation wireless systems, offering improved hardware, spectral, and energy efficien…

eess.SP2023★ 2 cited

Model-Based End-to-End Learning for Multi-Target Integrated Sensing and Communication under Hardware Impairments

José Miguel Mateos-Ramos, Christian Häger, Musa Furkan Keskin +2

We study model-based end-to-end learning in the context of integrated sensing and communication (ISAC) under hardware impairments. Hardware impairments are usually addressed by mea…

cs.IT2023

Rateless Autoencoder Codes: Trading off Decoding Delay and Reliability

Vukan Ninkovic, Dejan Vukobratovic, Christian Häger +2

Most of today's communication systems are designed to target reliable message recovery after receiving the entire encoded message (codeword). However, in many practical scenarios,…