Polar Codes: Characterization of Exponent, Bounds, and Constructions
Satish Babu Korada, Eren Sasoglu, Rudiger Urbanke

TL;DR
This paper characterizes the polarization exponent of matrices used in polar codes, establishes bounds on achievable exponents, and introduces a BCH code-based construction that surpasses the traditional exponent of 1/2 for certain sizes.
Contribution
It provides a complete characterization of the exponent for square matrices in polar codes and introduces a new construction surpassing the 1/2 exponent threshold.
Findings
Matrices smaller than size 15 cannot exceed an exponent of 1/2.
A BCH code-based construction achieves exponents arbitrarily close to 1 for large blocklengths.
The exponent of a matrix is fully characterized and bounds are established.
Abstract
Polar codes were recently introduced by Ar\i kan. They achieve the capacity of arbitrary symmetric binary-input discrete memoryless channels under a low complexity successive cancellation decoding strategy. The original polar code construction is closely related to the recursive construction of Reed-Muller codes and is based on the matrix \bigl[ 1 &0 1& 1 \bigr]. It was shown by Ar\i kan and Telatar that this construction achieves an error exponent of , i.e., that for sufficiently large blocklengths the error probability decays exponentially in the square root of the length. It was already mentioned by Ar\i kan that in principle larger matrices can be used to construct polar codes. A fundamental question then is to see whether there exist matrices with exponent exceeding . We first show that any matrix none of whose column permutations…
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Taxonomy
TopicsError Correcting Code Techniques · Advanced Wireless Communication Techniques · DNA and Biological Computing
