{"id":"https://openalex.org/W4405908687","doi":"https://doi.org/10.1109/itw61385.2024.10806996","title":"Finite Field Multiple Access for Sourced Massive Random Access with Finite Blocklength","display_name":"Finite Field Multiple Access for Sourced Massive Random Access with Finite Blocklength","publication_year":2024,"publication_date":"2024-11-24","ids":{"openalex":"https://openalex.org/W4405908687","doi":"https://doi.org/10.1109/itw61385.2024.10806996"},"language":"en","primary_location":{"id":"doi:10.1109/itw61385.2024.10806996","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw61385.2024.10806996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Information Theory Workshop (ITW)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028542750","display_name":"Qi-yue Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qi-yue Yu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104310151","display_name":"Shi-wen Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shi-wen Lin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101361986","display_name":"Shu Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shu Lin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"741","last_page":"746"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6294885873794556},{"id":"https://openalex.org/keywords/finite-field","display_name":"Finite field","score":0.627220094203949},{"id":"https://openalex.org/keywords/random-access","display_name":"Random access","score":0.6255538463592529},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4647810459136963},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4086076617240906},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18017637729644775},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.1350114345550537}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6294885873794556},{"id":"https://openalex.org/C77926391","wikidata":"https://www.wikidata.org/wiki/Q603880","display_name":"Finite field","level":2,"score":0.627220094203949},{"id":"https://openalex.org/C101722063","wikidata":"https://www.wikidata.org/wiki/Q218825","display_name":"Random access","level":2,"score":0.6255538463592529},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4647810459136963},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4086076617240906},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18017637729644775},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.1350114345550537},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itw61385.2024.10806996","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw61385.2024.10806996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Information Theory Workshop (ITW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3804391315","display_name":null,"funder_award_id":"62071148","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2111620924","https://openalex.org/W2559757893","https://openalex.org/W2742359230","https://openalex.org/W2963128632","https://openalex.org/W2964261606","https://openalex.org/W3109886790","https://openalex.org/W3124677789","https://openalex.org/W3199229030","https://openalex.org/W4220863604","https://openalex.org/W4322576964","https://openalex.org/W4366957267","https://openalex.org/W4378697019","https://openalex.org/W7070810030"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W3133183159","https://openalex.org/W2390279801","https://openalex.org/W2952222336","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W4297872561"],"abstract_inverted_index":{"For":[0],"binary":[1],"source":[2],"transmission,":[3],"this":[4,89],"paper":[5],"introduces":[6],"the":[7,16,22,57,67,110,128,135,142],"concept":[8],"of":[9,59,97,103],"element-pair":[10],"(EP)":[11],"and":[12,61,105,131],"establishes":[13],"that":[14,141],"when":[15],"Cartesian":[17],"product":[18],"of$J$distinct":[19],"EPs":[20,37],"satisfies":[21],"unique":[23],"sum-pattern":[24],"mapping":[25],"(USPM)":[26],"structural":[27],"property,":[28],"these$J$EPs":[29],"can":[30,125],"form":[31],"a":[32,94,116,151,157],"uniquely-decodable":[33],"EP":[34,81,90],"(UD-EP)":[35],"code.":[36],"are":[38],"treated":[39],"as":[40,121],"virtual":[41],"resources":[42],"allocated":[43],"to":[44,51,120,156],"different":[45],"users":[46],"in":[47,72],"finite":[48,68],"fields,":[49],"serving":[50],"distinguish":[52],"users.":[53],"This":[54],"approach":[55],"enables":[56],"reordering":[58],"multiplexing":[60],"channel":[62],"encoding":[63],"modules,":[64],"effectively":[65],"addressing":[66],"blocklength":[69],"(FBL)":[70],"challenge":[71],"multiuser":[73],"reliable":[74],"transmission.":[75],"Next,":[76],"we":[77,92,114],"introduce":[78],"an":[79,84],"orthogonal":[80],"code$\\Psi_{\\mathrm{o},\\mathrm{B}}$constructed":[82],"over":[83,150],"extension":[85],"field":[86],"GF$(2^{m})$.":[87],"Using":[88],"code,":[91],"develop":[93],"time-division":[95],"mode":[96],"finite-field":[98],"multiple-access":[99,153],"(FFMA)":[100],"systems,":[101],"consisting":[102],"sparse-form":[104],"diagonal-form":[106,111],"structures.":[107],"Based":[108],"on":[109],"(DF)":[112],"structure,":[113],"present":[115],"specific":[117],"configuration,":[118],"referred":[119],"polarization-adjusted":[122],"DF-FFMA,":[123],"which":[124],"simultaneously":[126],"obtain":[127],"power":[129],"gain":[130,133],"coding":[132],"from":[134],"entire":[136],"blocklength.":[137],"Simulation":[138],"results":[139],"demonstrate":[140],"proposed":[143],"FFMA":[144],"systems":[145],"significantly":[146],"improve":[147],"error":[148],"performance":[149],"Gaussian":[152],"channel,":[154],"compared":[155],"slotted":[158],"ALOHA":[159],"system.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}