{"id":"https://openalex.org/W4319303189","doi":"https://doi.org/10.1109/lwc.2023.3242342","title":"Improved Sparse Vector Code Based on Optimized Spreading Matrix for Short-Packet in URLLC","display_name":"Improved Sparse Vector Code Based on Optimized Spreading Matrix for Short-Packet in URLLC","publication_year":2023,"publication_date":"2023-02-06","ids":{"openalex":"https://openalex.org/W4319303189","doi":"https://doi.org/10.1109/lwc.2023.3242342"},"language":"en","primary_location":{"id":"doi:10.1109/lwc.2023.3242342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lwc.2023.3242342","pdf_url":null,"source":{"id":"https://openalex.org/S2500830676","display_name":"IEEE Wireless Communications Letters","issn_l":"2162-2337","issn":["2162-2337","2162-2345"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Wireless Communications Letters","raw_type":"journal-article"},"type":"article","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/A5088304668","display_name":"Linjie Yang","orcid":"https://orcid.org/0000-0001-7375-9032"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Linjie Yang","raw_affiliation_strings":["Information Coding and Transmission Key Laboratory of Sichuan Province, CSNMT Int. Coop. Res. Centre (MoST), Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Information Coding and Transmission Key Laboratory of Sichuan Province, CSNMT Int. Coop. Res. Centre (MoST), Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101880047","display_name":"Pingzhi Fan","orcid":"https://orcid.org/0000-0002-8281-6251"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pingzhi Fan","raw_affiliation_strings":["Information Coding and Transmission Key Laboratory of Sichuan Province, CSNMT Int. Coop. Res. Centre (MoST), Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Information Coding and Transmission Key Laboratory of Sichuan Province, CSNMT Int. Coop. Res. Centre (MoST), Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5088304668"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":4.2898,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.9523024,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"12","issue":"4","first_page":"728","last_page":"732"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9988999962806702,"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7964651584625244},{"id":"https://openalex.org/keywords/block-error-rate","display_name":"Block Error Rate","score":0.6880008578300476},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6797754168510437},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6017283797264099},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.5551660656929016},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.5092867612838745},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.45887815952301025},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.4455462694168091},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.43515902757644653},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.42201632261276245},{"id":"https://openalex.org/keywords/mutual-coherence","display_name":"Mutual coherence","score":0.4151454269886017},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.39800193905830383},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3493031859397888},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3241512179374695},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12197926640510559},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1175282895565033},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10900411009788513}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7964651584625244},{"id":"https://openalex.org/C2776639698","wikidata":"https://www.wikidata.org/wiki/Q4927140","display_name":"Block Error Rate","level":3,"score":0.6880008578300476},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6797754168510437},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6017283797264099},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.5551660656929016},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.5092867612838745},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.45887815952301025},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.4455462694168091},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.43515902757644653},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.42201632261276245},{"id":"https://openalex.org/C45900066","wikidata":"https://www.wikidata.org/wiki/Q6944191","display_name":"Mutual coherence","level":3,"score":0.4151454269886017},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.39800193905830383},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3493031859397888},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3241512179374695},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12197926640510559},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1175282895565033},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10900411009788513},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lwc.2023.3242342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lwc.2023.3242342","pdf_url":null,"source":{"id":"https://openalex.org/S2500830676","display_name":"IEEE Wireless Communications Letters","issn_l":"2162-2337","issn":["2162-2337","2162-2345"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Wireless Communications Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4145199205","display_name":null,"funder_award_id":"61731017","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6018493712","display_name":null,"funder_award_id":"62020106001","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":14,"referenced_works":["https://openalex.org/W2025797389","https://openalex.org/W2027740031","https://openalex.org/W2057206714","https://openalex.org/W2086867325","https://openalex.org/W2132702454","https://openalex.org/W2134033146","https://openalex.org/W2158173952","https://openalex.org/W2963692801","https://openalex.org/W2963922940","https://openalex.org/W2964080260","https://openalex.org/W3014685764","https://openalex.org/W3123800205","https://openalex.org/W3198672579","https://openalex.org/W4210316542"],"related_works":["https://openalex.org/W2117029045","https://openalex.org/W2013554099","https://openalex.org/W2904632759","https://openalex.org/W2379256376","https://openalex.org/W2938353867","https://openalex.org/W2107703637","https://openalex.org/W2381127329","https://openalex.org/W3015194228","https://openalex.org/W4310679452","https://openalex.org/W3005946484"],"abstract_inverted_index":{"Recently,":[0],"the":[1,22,25,46,53,69,74,85,105,124,127,140],"sparse":[2],"vector":[3],"code":[4],"(SVC)":[5],"is":[6],"emerging":[7],"as":[8,33,98],"a":[9,34,103],"promising":[10],"solution":[11],"for":[12,82,112],"short-packet":[13],"transmission":[14],"in":[15,59,77],"ultra-reliable":[16],"and":[17,27,115],"low-latency":[18],"communication":[19],"(URLLC).":[20],"In":[21],"SVC":[23,50,78,134],"process,":[24],"encoding":[26],"decoding":[28,47],"stages":[29],"are":[30,79,88,96,109],"jointly":[31],"modeled":[32],"standard":[35],"compressed":[36],"sensing":[37],"(CS)":[38],"problem.":[39],"Hence,":[40],"this":[41,62],"letter":[42],"aims":[43],"at":[44],"improving":[45],"performance":[48,132],"of":[49,73,133],"by":[51],"optimizing":[52],"spreading":[54,75,86,107,142],"matrix":[55,58,76],"(i.e.,":[56],"measurement":[57],"CS).":[60],"To":[61],"end,":[63],"two":[64],"greedy":[65],"algorithms":[66],"to":[67,91],"minimize":[68],"mutual":[70],"coherence":[71],"value":[72],"proposed.":[80],"Specially,":[81],"practical":[83],"applications,":[84],"matrices":[87,108],"further":[89],"required":[90],"be":[92,136],"bipolar":[93],"whose":[94],"entries":[95],"constrained":[97],"+1":[99],"or":[100],"\u22121.":[101],"As":[102],"result,":[104],"optimized":[106,141],"highly":[110],"efficient":[111],"storage,":[113],"computation,":[114],"hardware":[116],"realization.":[117],"Simulation":[118],"results":[119],"reveal":[120],"that,":[121],"compared":[122],"with":[123,139],"existing":[125],"work,":[126],"block":[128],"error":[129],"rate":[130],"(BLER)":[131],"can":[135],"improved":[137],"significantly":[138],"matrices.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
