2 papers
cs.IT2019
Reinforcement Learning for Channel Coding: Learned Bit-Flipping Decoding
Fabrizio Carpi, Christian Häger, Marco Martalò +2
In this paper, we use reinforcement learning to find effective decoding strategies for binary linear codes. We start by reviewing several iterative decoding algorithms that involve…
cs.IT2019
Learned Belief-Propagation Decoding with Simple Scaling and SNR Adaptation
Mengke Lian, Fabrizio Carpi, Christian Häger +1
We consider the weighted belief-propagation (WBP) decoder recently proposed by Nachmani et al. where different weights are introduced for each Tanner graph edge and optimized using…