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arXiv · 2103.03860

A Learning-Based Approach to Address Complexity-Reliability Tradeoff in OS Decoders

Baptiste Cavarec·Hasan Basri Celebi·Mats Bengtsson·Mikael Skoglund
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Abstract

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.

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Baptiste Cavarec, Hasan Basri Celebi, Mats Bengtsson, Mikael Skoglund. 2021-03-05. A Learning-Based Approach to Address Complexity-Reliability Tradeoff in OS Decoders. https://arxiv.org/abs/2103.03860

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