161 citations · 236 across the 9 of their papers we have counts for
5 papers · 1 filter
Deep Learning-based Polar Code Design
Moustafa Ebada, Sebastian Cammerer, Ahmed Elkelesh +1
In this work, we introduce a deep learning-based polar code construction algorithm. The core idea is to represent the information/frozen bit indices of a polar code as a binary vec…
Optimizing Polar Codes Compatible with Off-the-Shelf LDPC Decoders
Moustafa Ebada, Ahmed Elkelesh, Stephan ten Brink
Previous work showed that polar codes can be decoded using off-the-shelf LDPC decoders by imposing special constraints on the LDPC code structure, which, however, resulted in some…
Decoder-in-the-Loop: Genetic Optimization-based LDPC Code Design
Ahmed Elkelesh, Moustafa Ebada, Sebastian Cammerer +2
LDPC code design tools typically rely on asymptotic code behavior and are affected by an unavoidable performance degradation due to model imperfections in the short length regime.…
Decoder-tailored Polar Code Design Using the Genetic Algorithm
Ahmed Elkelesh, Moustafa Ebada, Sebastian Cammerer +1
We propose a new framework for constructing polar codes (i.e., selecting the frozen bit positions) for arbitrary channels, and tailored to a given decoding algorithm, rather than b…
Genetic Algorithm-based Polar Code Construction for the AWGN Channel
Ahmed Elkelesh, Moustafa Ebada, Sebastian Cammerer +1
We propose a new polar code construction framework (i.e., selecting the frozen bit positions) for the additive white Gaussian noise (AWGN) channel, tailored to a given decoding alg…