English

Explicit Polar Codes with Small Scaling Exponent

Information Theory 2019-02-27 v3 math.IT

Abstract

Herein, we focus on explicit constructions of ×\ell\times\ell binary kernels with small scaling exponent for 64\ell \le 64. In particular, we exhibit a sequence of binary linear codes that approaches capacity on the BEC with quasi-linear complexity and scaling exponent μ<3\mu < 3. To the best of our knowledge, such a sequence of codes was not previously known to exist. The principal challenges in establishing our results are twofold: how to construct such kernels and how to evaluate their scaling exponent. In a single polarization step, an ×\ell\times\ell kernel KK_\ell transforms an underlying BEC into \ell bit-channels W1,W2,,WW_1,W_2,\ldots,W_\ell. The erasure probabilities of W1,W2,,WW_1,W_2,\ldots,W_\ell, known as the polarization behavior of KK_\ell, determine the resulting scaling exponent μ(K)\mu(K_\ell). We first introduce a class of self-dual binary kernels and prove that their polarization behavior satisfies a strong symmetry property. This reduces the problem of constructing KK_\ell to that of producing a certain nested chain of only /2\ell/2 self-orthogonal codes. We use nested cyclic codes, whose distance is as high as possible subject to the orthogonality constraint, to construct the kernels K32K_{32} and K64K_{64}. In order to evaluate the polarization behavior of K32K_{32} and K64K_{64}, two alternative trellis representations (which may be of independent interest) are proposed. Using the resulting trellises, we show that μ(K32)=3.122\mu(K_{32})=3.122 and explicitly compute over half of the polarization behavior coefficients for K64K_{64}, at which point the complexity becomes prohibitive. To complete the computation, we introduce a Monte-Carlo interpolation method, which produces the estimate μ(K64)2.87\mu(K_{64})\simeq 2.87. We augment this estimate with a rigorous proof that μ(K64)<2.97\mu(K_{64})<2.97.

Keywords

Cite

@article{arxiv.1901.08186,
  title  = {Explicit Polar Codes with Small Scaling Exponent},
  author = {Hanwen Yao and Arman Fazeli and Alexander Vardy},
  journal= {arXiv preprint arXiv:1901.08186},
  year   = {2019}
}

Comments

Add a reference to G. Trofimiuk and P. Trifonov's paper

R2 v1 2026-06-23T07:20:30.176Z