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Jakob Hoydis

2 accepted papers

2020

Exploiting Channel Locality for Adaptive Massive MIMO Signal Detection

ICASSP 2020accepted

We propose MMNet, a deep learning MIMO detection scheme that significantly outperforms existing approaches on realistic channels with the same or lower computational complexity. MMNet's design builds on the theory of iterative soft-thresholding algorithms and uses a novel training algorithm that lev…

Cited by 0SourceScholar
2017

Combining belief propagation and successive cancellation list decoding of polar codes on a GPU platform

ICASSP 2017accepted

The decoding performance of polar codes strongly depends on the decoding algorithm used, while also the decoder throughput and its latency mainly depend on the decoding algorithm. In this work, we implement the powerful successive cancellation list (SCL) decoder on a GPU and identify the bottlenecks…

Cited by 0SourceScholar