Soft Maximum Likelihood Decoding using GRAND
© 2020 IEEE. Maximum Likelihood (ML) decoding of forward error correction codes is known to be optimally accurate, but is not used in practice as it proves too challenging to efficiently implement. Here we propose a development of a previously described hard detection ML decoder called Guessing Rand...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
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Institute of Electrical and Electronics Engineers (IEEE)
2021
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| Online Access: | https://hdl.handle.net/1721.1/137671.2 |
| _version_ | 1811085416330166272 |
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| author | Solomon, Amit Duffy, Ken R. Medard, Muriel |
| author2 | Massachusetts Institute of Technology. Research Laboratory of Electronics |
| author_facet | Massachusetts Institute of Technology. Research Laboratory of Electronics Solomon, Amit Duffy, Ken R. Medard, Muriel |
| author_sort | Solomon, Amit |
| collection | MIT |
| description | © 2020 IEEE. Maximum Likelihood (ML) decoding of forward error correction codes is known to be optimally accurate, but is not used in practice as it proves too challenging to efficiently implement. Here we propose a development of a previously described hard detection ML decoder called Guessing Random Additive Noise Decoding (GRAND). We introduce Soft GRAND (SGRAND), a ML decoder that fully avails of soft detection information and is suitable for use with any arbitrary high-rate, short-length block code. We assess SGRAND's performance on Cyclic Redundancy Check (CRC)-aided Polar (CA-Polar) codes, which will be used for all control channel communication in 5G New Radio (NR), comparing its accuracy with CRC-Aided Successive Cancellation List decoding (CA-SCL), a state-of-theart soft-information decoder specific to CA-Polar codes. |
| first_indexed | 2024-09-23T13:09:14Z |
| format | Article |
| id | mit-1721.1/137671.2 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T13:09:14Z |
| publishDate | 2021 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/137671.22021-11-08T16:36:22Z Soft Maximum Likelihood Decoding using GRAND Solomon, Amit Duffy, Ken R. Medard, Muriel Massachusetts Institute of Technology. Research Laboratory of Electronics Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science © 2020 IEEE. Maximum Likelihood (ML) decoding of forward error correction codes is known to be optimally accurate, but is not used in practice as it proves too challenging to efficiently implement. Here we propose a development of a previously described hard detection ML decoder called Guessing Random Additive Noise Decoding (GRAND). We introduce Soft GRAND (SGRAND), a ML decoder that fully avails of soft detection information and is suitable for use with any arbitrary high-rate, short-length block code. We assess SGRAND's performance on Cyclic Redundancy Check (CRC)-aided Polar (CA-Polar) codes, which will be used for all control channel communication in 5G New Radio (NR), comparing its accuracy with CRC-Aided Successive Cancellation List decoding (CA-SCL), a state-of-theart soft-information decoder specific to CA-Polar codes. 2021-11-08T16:36:21Z 2021-11-08T14:56:14Z 2021-11-08T16:36:21Z 2020-06 2021-03-09T18:08:32Z Article http://purl.org/eprint/type/ConferencePaper https://hdl.handle.net/1721.1/137671.2 2020. "Soft Maximum Likelihood Decoding using GRAND." IEEE International Conference on Communications, 2020-June. en 10.1109/ICC40277.2020.9149208 IEEE International Conference on Communications Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/octet-stream Institute of Electrical and Electronics Engineers (IEEE) arXiv |
| spellingShingle | Solomon, Amit Duffy, Ken R. Medard, Muriel Soft Maximum Likelihood Decoding using GRAND |
| title | Soft Maximum Likelihood Decoding using GRAND |
| title_full | Soft Maximum Likelihood Decoding using GRAND |
| title_fullStr | Soft Maximum Likelihood Decoding using GRAND |
| title_full_unstemmed | Soft Maximum Likelihood Decoding using GRAND |
| title_short | Soft Maximum Likelihood Decoding using GRAND |
| title_sort | soft maximum likelihood decoding using grand |
| url | https://hdl.handle.net/1721.1/137671.2 |
| work_keys_str_mv | AT solomonamit softmaximumlikelihooddecodingusinggrand AT duffykenr softmaximumlikelihooddecodingusinggrand AT medardmuriel softmaximumlikelihooddecodingusinggrand |