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Duffy, Ken R., Solomon, Amit, 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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Abstract
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: | 10.1109/CISS48834.2020.1570617412 |
| Depositing User: | Dr Ken Duffy |
| Date Deposited: | 19 Jan 2022 11:47 |
| Refereed: | Yes |
| Related URLs: | |
| URI: | https://mu.eprints-hosting.org/id/eprint/15276 |
| 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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