May 23, 2018 · Abstract:Arikan's recursive code construction is designed to polarize a collection of memoryless channels into a set of good and a set of ...

Jan 15, 2019 · Here, we present an efficient decoding algorithm for finite-state memory channels that can be applied to polar codes and convolutional polar ...

Arikan's recursive code construction was designed for memoryless channels, but was recently shown to also polarize channels with finite-state memory.

It is proved that these codes polarize and exponentially suppress the channel's error probability, with an asymptotic error exponent log_2(3)/2 which is ...

Arikan's recursive code construction was designed for memoryless channels, but was recently shown to also polarize channels with finite-state memory.

The code construction is based on a multiple recursive concatenation of a short kernel code which transforms the physical channel into virtual outer channels.

Abstract—Polar codes have been shown to approach capacity of symmetric binary erasure channels and also have low encoding and decoding complexity.

Polar codes provably achieve the capacity of any memoryless symmetric channel, with low encoding and decoding complexity. Moreover, for short block lengths, ...

We show that polar codes achieve the cut-set bound when the channels are symmetric and the relay-destination link supports compress-and-forward relaying based ...

Jul 11, 2024 · In this work, we explore the enhancement of polar codes for channels with memory, focusing on achieving low decoding complexity and optimizing input ...