Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/64585
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMiloslavskaya, Veraen
dc.contributor.authorVucetic, Brankaen
dc.contributor.authorLi, Yonghuien
dc.date.accessioned2025-01-25T07:02:21Z-
dc.date.available2025-01-25T07:02:21Z-
dc.date.issued2022-11-
dc.identifier.citationIEEE Transactions on Communications, 70(11), p. 7146-7159en
dc.identifier.issn1558-0857en
dc.identifier.issn0090-6778en
dc.identifier.urihttps://hdl.handle.net/1959.11/64585-
dc.description.abstract<p>The problem of computing the Hamming weight distribution of linear codes is considered in this paper. A novel method to enumerate all codewords up to a certain Hamming weight for binary linear block codes in general and in particular for the punctured, shortened, precoded polar codes is introduced. The proposed approach performs a recursive decomposition of the codes using construction X4 that is typically used to combine codes of different lengths. This allows to enumerate the low-weight codewords of the overall code as combinations of the low-weight codewords of the component codes. Numerical results show that the proposed approach can efficiently compute the exact partial weight distribution of the 5G New Radio punctured/shortened polar codes with CRC11 and pure polar codes. In the former and latter cases, the low-weight codeword number is up to 106 and 108, respectively. Besides, randomly punctured and shortened polar codes and randomly precoded polar codes are also considered. To the best of the authors’ knowledge, this is the first method able to solve these problems.</p>en
dc.languageenen
dc.publisherInstitute of Electrical and Electronics Engineersen
dc.relation.ispartofIEEE Transactions on Communicationsen
dc.titleComputing the Partial Weight Distribution of Punctured, Shortened, Precoded Polar Codesen
dc.typeJournal Articleen
dc.identifier.doi10.1109/TCOMM.2022.3205967en
local.contributor.firstnameVeraen
local.contributor.firstnameBrankaen
local.contributor.firstnameYonghuien
local.relation.isfundedbyARCen
local.relation.isfundedbyARCen
local.relation.isfundedbyARCen
local.profile.schoolSchool of Science and Technologyen
local.profile.emailvmilosla@une.edu.auen
local.output.categoryC1en
local.grant.numberFL160100032en
local.grant.numberDP190101988en
local.grant.numberDP210103410en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeUnited State of Americaen
local.format.startpage7146en
local.format.endpage7159en
local.peerreviewedYesen
local.identifier.volume70en
local.identifier.issue11en
local.contributor.lastnameMiloslavskayaen
local.contributor.lastnameVuceticen
local.contributor.lastnameLien
dc.identifier.staffune-id:vmiloslaen
local.profile.orcid0000-0003-2147-2448en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/64585en
local.date.onlineversion2022-09-12-
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleComputing the Partial Weight Distribution of Punctured, Shortened, Precoded Polar Codesen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.relation.grantdescriptionARC/FL160100032en
local.relation.grantdescriptionARC/DP190101988en
local.relation.grantdescriptionARC/DP210103410en
local.search.authorMiloslavskaya, Veraen
local.search.authorVucetic, Brankaen
local.search.authorLi, Yonghuien
local.uneassociationNoen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.available2022en
local.year.published2022en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/7761361c-18a3-4dde-ad51-3d6fafba6cdden
local.subject.for2020460199 Applied computing not elsewhere classifieden
local.subject.for2020461301 Coding, information theory and compressionen
local.subject.seo2020220107 Wireless technologies, networks and servicesen
local.codeupdate.date2025-02-01T16:27:34.208en
local.codeupdate.epersonvmilosla@une.edu.auen
local.codeupdate.finalisedtrueen
local.original.for20204601 Applied computingen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.date.moved2025-01-30en
Appears in Collections:Journal Article
School of Science and Technology
Files in This Item:
1 files
File SizeFormat 
Show simple item record
Google Media

Google ScholarTM

Check

Altmetric


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.