SCL-GRAND: Lower complexity and better flexibility for CRC-Polar Codes
Guessing random additive noise decoding (GRAND) is a recently proposed decoding algorithm which can achieve the error performance of maximum likelihood (ML) decoding. However, GRAND and its variants are only suitable for some short codes with high code rates and have large average query numbers. To...
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Published in | 2023 IEEE Wireless Communications and Networking Conference (WCNC) pp. 1 - 5 |
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Main Authors | , , , , |
Format | Conference Proceeding |
Language | English |
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IEEE
01.03.2023
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Abstract | Guessing random additive noise decoding (GRAND) is a recently proposed decoding algorithm which can achieve the error performance of maximum likelihood (ML) decoding. However, GRAND and its variants are only suitable for some short codes with high code rates and have large average query numbers. To mitigate these problems, we propose a successive cancellation list (SCL)-GRAND decoding algorithm for the cyclic redundancy check concatenated polar (CRC-polar) codes. The proposed decoder first divides the received sequence into two subblocks. Then SCL is used to decode the upper subblock and output several candidates into the candidate list. For each candidate, GRAND is used to decode the lower subblock and finally choose the most-likely codeword as the decoded result. Since the SCL is integrated into the SCL-GRAND algorithm, this algorithm can achieve lower complexity and better flexibility than the original GRAND. |
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AbstractList | Guessing random additive noise decoding (GRAND) is a recently proposed decoding algorithm which can achieve the error performance of maximum likelihood (ML) decoding. However, GRAND and its variants are only suitable for some short codes with high code rates and have large average query numbers. To mitigate these problems, we propose a successive cancellation list (SCL)-GRAND decoding algorithm for the cyclic redundancy check concatenated polar (CRC-polar) codes. The proposed decoder first divides the received sequence into two subblocks. Then SCL is used to decode the upper subblock and output several candidates into the candidate list. For each candidate, GRAND is used to decode the lower subblock and finally choose the most-likely codeword as the decoded result. Since the SCL is integrated into the SCL-GRAND algorithm, this algorithm can achieve lower complexity and better flexibility than the original GRAND. |
Author | Guo, Zhiheng Niu, Kai Li, Xuanyu Dai, Jincheng Tan, Zhiyuan |
Author_xml | – sequence: 1 givenname: Xuanyu surname: Li fullname: Li, Xuanyu email: lixuanyu@bupt.edu.cn organization: Beijing University of Posts and Telecommunications,Key Laboratory of Universal Wireless Communications – sequence: 2 givenname: Kai surname: Niu fullname: Niu, Kai email: niukai@bupt.edu.cn organization: Beijing University of Posts and Telecommunications,Key Laboratory of Universal Wireless Communications – sequence: 3 givenname: Jincheng surname: Dai fullname: Dai, Jincheng email: daijincheng@bupt.edu.cn organization: Beijing University of Posts and Telecommunications,Key Laboratory of Universal Wireless Communications – sequence: 4 givenname: Zhiyuan surname: Tan fullname: Tan, Zhiyuan email: tanzhiyuan@huawei.com organization: Huawei Technologies. Co., Ltd – sequence: 5 givenname: Zhiheng surname: Guo fullname: Guo, Zhiheng email: guozhiheng@huawei.com organization: Huawei Technologies. Co., Ltd |
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Snippet | Guessing random additive noise decoding (GRAND) is a recently proposed decoding algorithm which can achieve the error performance of maximum likelihood (ML)... |
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SubjectTerms | Additive noise Channel Coding Codes Complexity theory CRC-Polar Cyclic redundancy check GRAND Maximum likelihood decoding SCL Signal to noise ratio |
Title | SCL-GRAND: Lower complexity and better flexibility for CRC-Polar Codes |
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