A Learning-Based Approach to Address Complexity-Reliability Tradeoff in OS Decoders
Baptiste Cavarec, Hasan Basri Çelebi, Mats Bengtsson, Mikael Skoglund · 2020
In this paper, we study the tradeoffs between complexity and reliability for decoding large linear block codes. We show that using artificial neural networks to predict the required order of an ordered statistics based decoder helps in reducing the average complexity and hence the latency of the decoder. We numerically validate the approach through Monte Carlo simulations.