Tutorial: Design and Decoding of Polar Codes with Large Kernels

Session chair(s):
Krishna
Narayanan

Presenter

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Peter
Trifonov
ITMO University
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Grigorii
Trofimiuk
ITMO University, Russia

Abstract

Polar codes with large kernels were recently shown to asymptotically achieve optimal scaling exponent.  However, these codes were believed to be impractical due to lack of efficient decoding algorithms. In this tutorial we present a toolset for design and decoding of polar codes with large kernels. In particular, detailed treatment of recursive trellis and window kernel processing algorithms will be provided. These algorithms together with the successive cancellation list decoder allow one to obtain the same performance with lower complexity compared to polar codes with Arikan kernel. We present also techniques for construction of polar codes with large kernels, as well as kernels with good polarization properties and low decoding complexity.

Biography

Peter Trifonov
Peter Trifonov is a professor at ITMO University, Saint Petersburg, Russia. He obtained his PhD from St.Petersburg Polytechnic University in 2005 and DrSc (habilitation) degree from the Institute for Information Transmission Problems in 2018. His research interests include coding theory and its applications, fast algorithms and computer algebra. He is an editor of IEEE Transactions on Communications. In 2019–2020 he was a chairman of IEEE Russia Information Theory Society Chapter. He has co-authored 4 papers listed in the IEEE Communications Society Best Readings in Polar Coding.
Grigorii Trofimiuk
Grigorii Trofimiuk is a PhD student at ITMO University, Saint Petersburg, Russia. He received the B.Sc. and M.Sc. degrees from St. Petersburg Polytechnic University in 2016 and 2018, respectively, all in computer science. His research interests include coding theory and its applications in telecommunications. In 2019 he received the medal of Russian Academy of Sciences for young scientists in the field of informatics, computer technology and automation. He has co-authored a paper listed in the IEEE Communications Society Best Readings in Polar Coding.