Practical polar code construction using generalised generator matrices
Polar coding is a recently proposed coding technique that can provably achieve the channel capacity. The polar code structure, which is based on the original 2 × 2 generator matrix, polarises the channels, that is, a portion of the channel capacities approach 1, whereas the remaining channel capacit...
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Veröffentlicht in: | IET communications 2014-03, Vol.8 (4), p.419-426 |
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description | Polar coding is a recently proposed coding technique that can provably achieve the channel capacity. The polar code structure, which is based on the original 2 × 2 generator matrix, polarises the channels, that is, a portion of the channel capacities approach 1, whereas the remaining channel capacities approach 0. Owing to the specific size of this original generator matrix, polar codes can only have code lengths equal to the powers of 2, resulting in inefficiency for codes of practical lengths. In this study, the performance of finite-length polar codes over the binary erasure channel is analysed. A normalised polarisation distance measure is defined and polar codes from different generator matrices showing different amount of polarisation are compared using this measure. Encoding structures for these generalised polar codes are proposed and polarisation performances in both asymptotical and finite-length cases are investigated for generator matrices of size 3 × 3 and 4 × 4. A generalised decoder is also proposed for this generator matrix and its erasure rate is compared with that of the original generator matrix. It is shown that polar codes that have performance similar to the original construction can be constructed and used for a variety of code lengths, not necessarily equal to powers of 2, using generalised generator matrices. |
doi_str_mv | 10.1049/iet-com.2013.0534 |
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The polar code structure, which is based on the original 2 × 2 generator matrix, polarises the channels, that is, a portion of the channel capacities approach 1, whereas the remaining channel capacities approach 0. Owing to the specific size of this original generator matrix, polar codes can only have code lengths equal to the powers of 2, resulting in inefficiency for codes of practical lengths. In this study, the performance of finite-length polar codes over the binary erasure channel is analysed. A normalised polarisation distance measure is defined and polar codes from different generator matrices showing different amount of polarisation are compared using this measure. Encoding structures for these generalised polar codes are proposed and polarisation performances in both asymptotical and finite-length cases are investigated for generator matrices of size 3 × 3 and 4 × 4. A generalised decoder is also proposed for this generator matrix and its erasure rate is compared with that of the original generator matrix. It is shown that polar codes that have performance similar to the original construction can be constructed and used for a variety of code lengths, not necessarily equal to powers of 2, using generalised generator matrices.</description><identifier>ISSN: 1751-8628</identifier><identifier>ISSN: 1751-8636</identifier><identifier>EISSN: 1751-8636</identifier><identifier>DOI: 10.1049/iet-com.2013.0534</identifier><language>eng</language><publisher>Stevenage: The Institution of Engineering and Technology</publisher><subject>Asymptotic properties ; binary erasure channel ; Channel capacity ; Channels ; codes ; Coding ; Construction ; Decoders ; Encoding ; encoding structures ; erasure rate ; finite‐length polar codes ; generalised decoder ; generalised generator matrices ; generator matrix ; Generators ; matrix algebra ; normalised polarisation distance measure ; polar code construction ; polar code structure ; polarisation</subject><ispartof>IET communications, 2014-03, Vol.8 (4), p.419-426</ispartof><rights>The Institution of Engineering and Technology</rights><rights>2021 The Institution of Engineering and Technology</rights><rights>Copyright The Institution of Engineering & Technology Mar 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4726-a431eb7467daea063f97a79f80365106435f9fb2f4b1cc26d4b4b707bcd6146d3</citedby><cites>FETCH-LOGICAL-c4726-a431eb7467daea063f97a79f80365106435f9fb2f4b1cc26d4b4b707bcd6146d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1049%2Fiet-com.2013.0534$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1049%2Fiet-com.2013.0534$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>315,782,786,1419,11571,27933,27934,45583,45584,46061,46485</link.rule.ids><linktorsrc>$$Uhttps://onlinelibrary.wiley.com/doi/abs/10.1049%2Fiet-com.2013.0534$$EView_record_in_Wiley-Blackwell$$FView_record_in_$$GWiley-Blackwell</linktorsrc></links><search><creatorcontrib>Serbetci, Berksan</creatorcontrib><creatorcontrib>Pusane, Ali Emre</creatorcontrib><title>Practical polar code construction using generalised generator matrices</title><title>IET communications</title><description>Polar coding is a recently proposed coding technique that can provably achieve the channel capacity. The polar code structure, which is based on the original 2 × 2 generator matrix, polarises the channels, that is, a portion of the channel capacities approach 1, whereas the remaining channel capacities approach 0. Owing to the specific size of this original generator matrix, polar codes can only have code lengths equal to the powers of 2, resulting in inefficiency for codes of practical lengths. In this study, the performance of finite-length polar codes over the binary erasure channel is analysed. A normalised polarisation distance measure is defined and polar codes from different generator matrices showing different amount of polarisation are compared using this measure. Encoding structures for these generalised polar codes are proposed and polarisation performances in both asymptotical and finite-length cases are investigated for generator matrices of size 3 × 3 and 4 × 4. A generalised decoder is also proposed for this generator matrix and its erasure rate is compared with that of the original generator matrix. It is shown that polar codes that have performance similar to the original construction can be constructed and used for a variety of code lengths, not necessarily equal to powers of 2, using generalised generator matrices.</description><subject>Asymptotic properties</subject><subject>binary erasure channel</subject><subject>Channel capacity</subject><subject>Channels</subject><subject>codes</subject><subject>Coding</subject><subject>Construction</subject><subject>Decoders</subject><subject>Encoding</subject><subject>encoding structures</subject><subject>erasure rate</subject><subject>finite‐length polar codes</subject><subject>generalised decoder</subject><subject>generalised generator matrices</subject><subject>generator matrix</subject><subject>Generators</subject><subject>matrix algebra</subject><subject>normalised polarisation distance measure</subject><subject>polar code construction</subject><subject>polar code structure</subject><subject>polarisation</subject><issn>1751-8628</issn><issn>1751-8636</issn><issn>1751-8636</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqFkE9LwzAYh4soOKcfwFvBix46869J603LpoONedjOIU3TkdE1NWmRfXtTOoaI4uXNC3melx-_ILiFYAIBSR-1aiNp9hMEIJ6AGJOzYARZDKOEYnp-2lFyGVw5twMgjikho2D2boVstRRV2JhK2FCaQvlRu9Z2_sPUYed0vQ23qlZWVNqp4ri3xoZ70VotlbsOLkpROXVzfMfBZjZdZ2_RYvU6z54XkSQM0UgQDFXOCGWFUAJQXKZMsLRMAKYxBJTguEzLHJUkh1IiWpCc5AywXBYUElrgcXA_3G2s-eiUa_leO6mqStTKdI7DGIGUJgQRj979QHems7VP5ymQkCRJUOopOFDSGuesKnlj9V7YA4eA981y3yz3zfK-Wd43652nwfnUlTr8L_BsuUEvMwB9NC8_DHKPnRLNp2uerZbfnKYoPRv9wv4d7Atq9puC</recordid><startdate>201403</startdate><enddate>201403</enddate><creator>Serbetci, Berksan</creator><creator>Pusane, Ali Emre</creator><general>The Institution of Engineering and Technology</general><general>John Wiley & Sons, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>S0W</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>201403</creationdate><title>Practical polar code construction using generalised generator matrices</title><author>Serbetci, Berksan ; Pusane, Ali Emre</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4726-a431eb7467daea063f97a79f80365106435f9fb2f4b1cc26d4b4b707bcd6146d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Asymptotic properties</topic><topic>binary erasure channel</topic><topic>Channel capacity</topic><topic>Channels</topic><topic>codes</topic><topic>Coding</topic><topic>Construction</topic><topic>Decoders</topic><topic>Encoding</topic><topic>encoding structures</topic><topic>erasure rate</topic><topic>finite‐length polar codes</topic><topic>generalised decoder</topic><topic>generalised generator matrices</topic><topic>generator matrix</topic><topic>Generators</topic><topic>matrix algebra</topic><topic>normalised polarisation distance measure</topic><topic>polar code construction</topic><topic>polar code structure</topic><topic>polarisation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Serbetci, Berksan</creatorcontrib><creatorcontrib>Pusane, Ali Emre</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>DELNET Engineering & Technology Collection</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>IET communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Serbetci, Berksan</au><au>Pusane, Ali Emre</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Practical polar code construction using generalised generator matrices</atitle><jtitle>IET communications</jtitle><date>2014-03</date><risdate>2014</risdate><volume>8</volume><issue>4</issue><spage>419</spage><epage>426</epage><pages>419-426</pages><issn>1751-8628</issn><issn>1751-8636</issn><eissn>1751-8636</eissn><abstract>Polar coding is a recently proposed coding technique that can provably achieve the channel capacity. The polar code structure, which is based on the original 2 × 2 generator matrix, polarises the channels, that is, a portion of the channel capacities approach 1, whereas the remaining channel capacities approach 0. Owing to the specific size of this original generator matrix, polar codes can only have code lengths equal to the powers of 2, resulting in inefficiency for codes of practical lengths. In this study, the performance of finite-length polar codes over the binary erasure channel is analysed. A normalised polarisation distance measure is defined and polar codes from different generator matrices showing different amount of polarisation are compared using this measure. Encoding structures for these generalised polar codes are proposed and polarisation performances in both asymptotical and finite-length cases are investigated for generator matrices of size 3 × 3 and 4 × 4. A generalised decoder is also proposed for this generator matrix and its erasure rate is compared with that of the original generator matrix. It is shown that polar codes that have performance similar to the original construction can be constructed and used for a variety of code lengths, not necessarily equal to powers of 2, using generalised generator matrices.</abstract><cop>Stevenage</cop><pub>The Institution of Engineering and Technology</pub><doi>10.1049/iet-com.2013.0534</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Asymptotic properties binary erasure channel Channel capacity Channels codes Coding Construction Decoders Encoding encoding structures erasure rate finite‐length polar codes generalised decoder generalised generator matrices generator matrix Generators matrix algebra normalised polarisation distance measure polar code construction polar code structure polarisation |
title | Practical polar code construction using generalised generator matrices |
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