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On the Formation of Min-Weight Codewords of Polar/PAC Codes and Its Applications
Minimum weight codewords play a crucial role in the error correction performance of a linear block code. In this work, we establish an explicit construction for these codewords of polar codes as a sum of the generator matrix rows, which can then be used as a foundation for two applications. In the f...
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Published in: | IEEE transactions on information theory 2023-12, Vol.69 (12), p.7627-7649 |
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description | Minimum weight codewords play a crucial role in the error correction performance of a linear block code. In this work, we establish an explicit construction for these codewords of polar codes as a sum of the generator matrix rows, which can then be used as a foundation for two applications. In the first application, we obtain a lower bound for the number of minimum-weight codewords (a.k.a. the error coefficient), which matches the exact number established previously in the literature. In the second application, we derive a novel method that modifies the information set (a.k.a. rate profile) of polar codes and PAC codes in order to reduce the error coefficient, hence improving their performance. More specifically, by analyzing the structure of minimum-weight codewords of polar codes (as special sums of the rows in the polar transform matrix), we can identify rows (corresponding to information bits) that contribute the most to the formation of such codewords and then replace them with other rows (corresponding to frozen bits) that bring in few minimum-weight codewords. A similar process can also be applied to PAC codes. Our approach deviates from the traditional constructions of polar codes, which mostly focus on the reliability of the sub-channels, by taking into account another important factor - the weight distribution. Extensive numerical results show that the modified codes outperform PAC codes and CRC-Polar codes at the practical block error rate of 10^{-2} - 10^{-3} . |
doi_str_mv | 10.1109/TIT.2023.3319015 |
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In this work, we establish an explicit construction for these codewords of polar codes as a sum of the generator matrix rows, which can then be used as a foundation for two applications. In the first application, we obtain a lower bound for the number of minimum-weight codewords (a.k.a. the error coefficient), which matches the exact number established previously in the literature. In the second application, we derive a novel method that modifies the information set (a.k.a. rate profile) of polar codes and PAC codes in order to reduce the error coefficient, hence improving their performance. More specifically, by analyzing the structure of minimum-weight codewords of polar codes (as special sums of the rows in the polar transform matrix), we can identify rows (corresponding to information bits) that contribute the most to the formation of such codewords and then replace them with other rows (corresponding to frozen bits) that bring in few minimum-weight codewords. A similar process can also be applied to PAC codes. Our approach deviates from the traditional constructions of polar codes, which mostly focus on the reliability of the sub-channels, by taking into account another important factor - the weight distribution. Extensive numerical results show that the modified codes outperform PAC codes and CRC-Polar codes at the practical block error rate of <inline-formula> <tex-math notation="LaTeX">10^{-2} </tex-math></inline-formula>-<inline-formula> <tex-math notation="LaTeX">10^{-3} </tex-math></inline-formula>.]]></description><identifier>ISSN: 0018-9448</identifier><identifier>EISSN: 1557-9654</identifier><identifier>DOI: 10.1109/TIT.2023.3319015</identifier><identifier>CODEN: IETTAW</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>code construction ; Codes ; Error correction ; Error reduction ; list decoding ; Lower bounds ; Maximum likelihood decoding ; minimum hamming distance ; Minimum weight ; PAC codes ; Picture archiving and communication systems ; Polar codes ; Polarization-adjusted convolutional codes ; rate profile ; Reliability ; Signal to noise ratio ; Transforms ; weight distribution</subject><ispartof>IEEE transactions on information theory, 2023-12, Vol.69 (12), p.7627-7649</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2023</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c292t-16a72ee2fe2a8233eb0490c8f3c0a75a130a49b06f1356d26058460fa709306e3</citedby><cites>FETCH-LOGICAL-c292t-16a72ee2fe2a8233eb0490c8f3c0a75a130a49b06f1356d26058460fa709306e3</cites><orcidid>0000-0002-2199-5655 ; 0000-0002-2276-017X ; 0000-0002-5861-2873</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/10262352$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,54796</link.rule.ids></links><search><creatorcontrib>Rowshan, Mohammad</creatorcontrib><creatorcontrib>Dau, Son Hoang</creatorcontrib><creatorcontrib>Viterbo, Emanuele</creatorcontrib><title>On the Formation of Min-Weight Codewords of Polar/PAC Codes and Its Applications</title><title>IEEE transactions on information theory</title><addtitle>TIT</addtitle><description><![CDATA[Minimum weight codewords play a crucial role in the error correction performance of a linear block code. In this work, we establish an explicit construction for these codewords of polar codes as a sum of the generator matrix rows, which can then be used as a foundation for two applications. In the first application, we obtain a lower bound for the number of minimum-weight codewords (a.k.a. the error coefficient), which matches the exact number established previously in the literature. In the second application, we derive a novel method that modifies the information set (a.k.a. rate profile) of polar codes and PAC codes in order to reduce the error coefficient, hence improving their performance. More specifically, by analyzing the structure of minimum-weight codewords of polar codes (as special sums of the rows in the polar transform matrix), we can identify rows (corresponding to information bits) that contribute the most to the formation of such codewords and then replace them with other rows (corresponding to frozen bits) that bring in few minimum-weight codewords. A similar process can also be applied to PAC codes. Our approach deviates from the traditional constructions of polar codes, which mostly focus on the reliability of the sub-channels, by taking into account another important factor - the weight distribution. Extensive numerical results show that the modified codes outperform PAC codes and CRC-Polar codes at the practical block error rate of <inline-formula> <tex-math notation="LaTeX">10^{-2} </tex-math></inline-formula>-<inline-formula> <tex-math notation="LaTeX">10^{-3} </tex-math></inline-formula>.]]></description><subject>code construction</subject><subject>Codes</subject><subject>Error correction</subject><subject>Error reduction</subject><subject>list decoding</subject><subject>Lower bounds</subject><subject>Maximum likelihood decoding</subject><subject>minimum hamming distance</subject><subject>Minimum weight</subject><subject>PAC codes</subject><subject>Picture archiving and communication systems</subject><subject>Polar codes</subject><subject>Polarization-adjusted convolutional codes</subject><subject>rate profile</subject><subject>Reliability</subject><subject>Signal to noise ratio</subject><subject>Transforms</subject><subject>weight distribution</subject><issn>0018-9448</issn><issn>1557-9654</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNpNkE1LAzEQhoMoWKt3Dx4CnredfG5yLIvVQqU9VDyGdDexW9rNmmwR_73bj4OnYV6edwYehB4JjAgBPV7NViMKlI0YIxqIuEIDIkSeaSn4NRoAEJVpztUtuktp269cEDpAy0WDu43D0xD3tqtDg4PH73WTfbr6a9PhIlTuJ8QqHfNl2Nk4Xk6KU5ywbSo86xKetO2uLk_1dI9uvN0l93CZQ_QxfVkVb9l88TorJvOspJp2GZE2p85R76hVlDG3Bq6hVJ6VYHNhCQPL9RqkJ0zIikoQikvwNgfNQDo2RM_nu20M3weXOrMNh9j0Lw1VWgAIzlRPwZkqY0gpOm_aWO9t_DUEzNGb6b2Zozdz8dZXns6V2jn3D6eSMkHZH69JZqM</recordid><startdate>20231201</startdate><enddate>20231201</enddate><creator>Rowshan, Mohammad</creator><creator>Dau, Son Hoang</creator><creator>Viterbo, Emanuele</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0002-2199-5655</orcidid><orcidid>https://orcid.org/0000-0002-2276-017X</orcidid><orcidid>https://orcid.org/0000-0002-5861-2873</orcidid></search><sort><creationdate>20231201</creationdate><title>On the Formation of Min-Weight Codewords of Polar/PAC Codes and Its Applications</title><author>Rowshan, Mohammad ; Dau, Son Hoang ; Viterbo, Emanuele</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c292t-16a72ee2fe2a8233eb0490c8f3c0a75a130a49b06f1356d26058460fa709306e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>code construction</topic><topic>Codes</topic><topic>Error correction</topic><topic>Error reduction</topic><topic>list decoding</topic><topic>Lower bounds</topic><topic>Maximum likelihood decoding</topic><topic>minimum hamming distance</topic><topic>Minimum weight</topic><topic>PAC codes</topic><topic>Picture archiving and communication systems</topic><topic>Polar codes</topic><topic>Polarization-adjusted convolutional codes</topic><topic>rate profile</topic><topic>Reliability</topic><topic>Signal to noise ratio</topic><topic>Transforms</topic><topic>weight distribution</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rowshan, Mohammad</creatorcontrib><creatorcontrib>Dau, Son Hoang</creatorcontrib><creatorcontrib>Viterbo, Emanuele</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE/IET Electronic Library</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>IEEE transactions on information theory</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rowshan, Mohammad</au><au>Dau, Son Hoang</au><au>Viterbo, Emanuele</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>On the Formation of Min-Weight Codewords of Polar/PAC Codes and Its Applications</atitle><jtitle>IEEE transactions on information theory</jtitle><stitle>TIT</stitle><date>2023-12-01</date><risdate>2023</risdate><volume>69</volume><issue>12</issue><spage>7627</spage><epage>7649</epage><pages>7627-7649</pages><issn>0018-9448</issn><eissn>1557-9654</eissn><coden>IETTAW</coden><abstract><![CDATA[Minimum weight codewords play a crucial role in the error correction performance of a linear block code. In this work, we establish an explicit construction for these codewords of polar codes as a sum of the generator matrix rows, which can then be used as a foundation for two applications. In the first application, we obtain a lower bound for the number of minimum-weight codewords (a.k.a. the error coefficient), which matches the exact number established previously in the literature. In the second application, we derive a novel method that modifies the information set (a.k.a. rate profile) of polar codes and PAC codes in order to reduce the error coefficient, hence improving their performance. More specifically, by analyzing the structure of minimum-weight codewords of polar codes (as special sums of the rows in the polar transform matrix), we can identify rows (corresponding to information bits) that contribute the most to the formation of such codewords and then replace them with other rows (corresponding to frozen bits) that bring in few minimum-weight codewords. A similar process can also be applied to PAC codes. Our approach deviates from the traditional constructions of polar codes, which mostly focus on the reliability of the sub-channels, by taking into account another important factor - the weight distribution. Extensive numerical results show that the modified codes outperform PAC codes and CRC-Polar codes at the practical block error rate of <inline-formula> <tex-math notation="LaTeX">10^{-2} </tex-math></inline-formula>-<inline-formula> <tex-math notation="LaTeX">10^{-3} </tex-math></inline-formula>.]]></abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TIT.2023.3319015</doi><tpages>23</tpages><orcidid>https://orcid.org/0000-0002-2199-5655</orcidid><orcidid>https://orcid.org/0000-0002-2276-017X</orcidid><orcidid>https://orcid.org/0000-0002-5861-2873</orcidid></addata></record> |
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subjects | code construction Codes Error correction Error reduction list decoding Lower bounds Maximum likelihood decoding minimum hamming distance Minimum weight PAC codes Picture archiving and communication systems Polar codes Polarization-adjusted convolutional codes rate profile Reliability Signal to noise ratio Transforms weight distribution |
title | On the Formation of Min-Weight Codewords of Polar/PAC Codes and Its Applications |
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