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    5G NR CA-Polar Maximum Likelihood Decoding by GRAND

    Duffy, Ken R. and Solomon, Amit and Konwar, Kishori M. and Medard, Muriel (2020) 5G NR CA-Polar Maximum Likelihood Decoding by GRAND. In: 54th Annual Conference on Information Sciences and Systems (CISS), 18-20 March 2020, Princeton, NJ, USA.

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    CA-Polar codes have been selected for all control channel communications in 5G NR, but accurate, computationally feasible decoders are still subject to development. Here we report the performance of a recently proposed class of optimally precise Maximum Likelihood (ML) decoders, GRAND, that can be used with any block-code. As published theoretical results indicate that GRAND is computationally efficient for short- length, high-rate codes and 5G CA-Polar codes are in that class, here we consider GRAND's utility for decoding them. Simulation results indicate that decoding of 5G CA-Polar codes by GRAND, and a simple soft detection variant, is a practical possibility.

    Item Type: Conference or Workshop Item (Paper)
    Keywords: 5G; CA-Polar Codes; GRAND;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 15276
    Identification Number:
    Depositing User: Dr Ken Duffy
    Date Deposited: 19 Jan 2022 11:47
    Refereed: Yes
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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