| dc.contributor.author | Duffy, Ken R. | |
| dc.contributor.author | Solomon, Amit | |
| dc.contributor.author | Konwar, Kishori Mohan | |
| dc.contributor.author | Medard, Muriel | |
| dc.date.accessioned | 2021-12-20T20:39:03Z | |
| dc.date.available | 2021-11-08T15:12:27Z | |
| dc.date.available | 2021-12-20T20:39:03Z | |
| dc.date.issued | 2020-03 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/137677.2 | |
| dc.description.abstract | © 2020 IEEE. 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. | en_US |
| dc.language.iso | en | |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
| dc.relation.isversionof | 10.1109/CISS48834.2020.1570617412 | en_US |
| dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
| dc.source | arXiv | en_US |
| dc.title | 5G NR CA-Polar Maximum Likelihood Decoding by GRAND | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | 2020. "5G NR CA-Polar Maximum Likelihood Decoding by GRAND." 2020 54th Annual Conference on Information Sciences and Systems, CISS 2020. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Research Laboratory of Electronics | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | en_US |
| dc.relation.journal | 2020 54th Annual Conference on Information Sciences and Systems, CISS 2020 | en_US |
| dc.eprint.version | Original manuscript | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
| dc.date.updated | 2021-03-09T17:35:23Z | |
| dspace.orderedauthors | Duffy, KR; Solomon, A; Konwar, KM; Medard, M | en_US |
| dspace.date.submission | 2021-03-09T17:35:25Z | |
| mit.license | OPEN_ACCESS_POLICY | |
| mit.metadata.status | Publication Information Needed | en_US |
