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5G NR CA-Polar Maximum Likelihood Decoding by GRAND
- Source :
- 2020 54th Annual Conference on Information Sciences and Systems (CISS)
- Publication Year :
- 2019
-
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.
- Subjects :
- Computer Science - Information Theory
94A05
E.4
Subjects
Details
- Database :
- arXiv
- Journal :
- 2020 54th Annual Conference on Information Sciences and Systems (CISS)
- Publication Type :
- Report
- Accession number :
- edsarx.1907.01077
- Document Type :
- Working Paper