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Polar Codes for the Deletion Channel: Weak and Strong Polarization

Publication ,  Journal Article
Tal, I; Pfister, HD; Fazeli, A; Vardy, A
Published in: IEEE Transactions on Information Theory
April 1, 2022

This paper presents the first proof of polarization for the deletion channel with a constant deletion rate and a regular hidden-Markov input distribution. A key part of this work involves representing the deletion channel using a trellis and describing the plus and minus polar-decoding operations on that trellis. In particular, the plus and minus operations can be seen as combining adjacent trellis stages to yield a new trellis with half as many stages. Using this viewpoint, we prove a weak polarization theorem for standard polar codes on the deletion channel. To achieve strong polarization, we modify this scheme by adding guard bands of repeated zeros between various parts of the codeword. This gives a scheme whose rate approaches the mutual information and whose probability of error decays exponentially in the cube-root of the block length. We conclude by showing that this scheme can achieve capacity on the deletion channel by proving that the capacity of the deletion channel can be achieved by a sequence of regular hidden-Markov input distributions.

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Published In

IEEE Transactions on Information Theory

DOI

EISSN

1557-9654

ISSN

0018-9448

Publication Date

April 1, 2022

Volume

68

Issue

4

Start / End Page

2239 / 2265

Related Subject Headings

  • Networking & Telecommunications
  • 4613 Theory of computation
  • 4006 Communications engineering
  • 1005 Communications Technologies
  • 0906 Electrical and Electronic Engineering
  • 0801 Artificial Intelligence and Image Processing
 

Citation

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Tal, I., Pfister, H. D., Fazeli, A., & Vardy, A. (2022). Polar Codes for the Deletion Channel: Weak and Strong Polarization. IEEE Transactions on Information Theory, 68(4), 2239–2265. https://doi.org/10.1109/TIT.2021.3136440
Tal, I., H. D. Pfister, A. Fazeli, and A. Vardy. “Polar Codes for the Deletion Channel: Weak and Strong Polarization.” IEEE Transactions on Information Theory 68, no. 4 (April 1, 2022): 2239–65. https://doi.org/10.1109/TIT.2021.3136440.
Tal I, Pfister HD, Fazeli A, Vardy A. Polar Codes for the Deletion Channel: Weak and Strong Polarization. IEEE Transactions on Information Theory. 2022 Apr 1;68(4):2239–65.
Tal, I., et al. “Polar Codes for the Deletion Channel: Weak and Strong Polarization.” IEEE Transactions on Information Theory, vol. 68, no. 4, Apr. 2022, pp. 2239–65. Scopus, doi:10.1109/TIT.2021.3136440.
Tal I, Pfister HD, Fazeli A, Vardy A. Polar Codes for the Deletion Channel: Weak and Strong Polarization. IEEE Transactions on Information Theory. 2022 Apr 1;68(4):2239–2265.

Published In

IEEE Transactions on Information Theory

DOI

EISSN

1557-9654

ISSN

0018-9448

Publication Date

April 1, 2022

Volume

68

Issue

4

Start / End Page

2239 / 2265

Related Subject Headings

  • Networking & Telecommunications
  • 4613 Theory of computation
  • 4006 Communications engineering
  • 1005 Communications Technologies
  • 0906 Electrical and Electronic Engineering
  • 0801 Artificial Intelligence and Image Processing