{"id":"https://openalex.org/W1543985333","doi":"https://doi.org/10.1109/vtcspring.2015.7145755","title":"Compressive Sensing Multi-User Detection for Multicarrier Systems in Sporadic Machine Type Communication","display_name":"Compressive Sensing Multi-User Detection for Multicarrier Systems in Sporadic Machine Type Communication","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W1543985333","doi":"https://doi.org/10.1109/vtcspring.2015.7145755","mag":"1543985333"},"language":"en","primary_location":{"id":"doi:10.1109/vtcspring.2015.7145755","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcspring.2015.7145755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 81st Vehicular Technology Conference (VTC Spring)","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/A5043330743","display_name":"Fabian Monsees","orcid":null},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Fabian Monsees","raw_affiliation_strings":["Department of Communications Engineering, University of Bremen, Germany","Dept. of Commun. Eng., Univ. of Bremen, Bremen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Communications Engineering, University of Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]},{"raw_affiliation_string":"Dept. of Commun. Eng., Univ. of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046622526","display_name":"Matthias Woltering","orcid":null},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Matthias Woltering","raw_affiliation_strings":["Department of Communications Engineering, University of Bremen, Germany","Dept. of Commun. Eng., Univ. of Bremen, Bremen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Communications Engineering, University of Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]},{"raw_affiliation_string":"Dept. of Commun. Eng., Univ. of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042872699","display_name":"Carsten Bockelmann","orcid":"https://orcid.org/0000-0002-8501-7324"},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Carsten Bockelmann","raw_affiliation_strings":["Department of Communications Engineering, University of Bremen, Germany","Dept. of Commun. Eng., Univ. of Bremen, Bremen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Communications Engineering, University of Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]},{"raw_affiliation_string":"Dept. of Commun. Eng., Univ. of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063992917","display_name":"Armin Dekorsy","orcid":"https://orcid.org/0000-0002-5790-1470"},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Armin Dekorsy","raw_affiliation_strings":["Department of Communications Engineering, University of Bremen, Germany","Dept. of Commun. Eng., Univ. of Bremen, Bremen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Communications Engineering, University of Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]},{"raw_affiliation_string":"Dept. of Commun. Eng., Univ. of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I180437899"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":74,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9994999766349792,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/compressed-sensing","display_name":"Compressed sensing","score":0.831956148147583},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7662256956100464},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.7632503509521484},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7219145894050598},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.6328856945037842},{"id":"https://openalex.org/keywords/random-access","display_name":"Random access","score":0.5949174165725708},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.49527350068092346},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.44353216886520386},{"id":"https://openalex.org/keywords/spectral-efficiency","display_name":"Spectral efficiency","score":0.43283793330192566},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3714952766895294},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3481552004814148},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3282028138637543},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.30420416593551636},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1266743540763855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1213752031326294},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10770714282989502}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.831956148147583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7662256956100464},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.7632503509521484},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7219145894050598},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.6328856945037842},{"id":"https://openalex.org/C101722063","wikidata":"https://www.wikidata.org/wiki/Q218825","display_name":"Random access","level":2,"score":0.5949174165725708},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.49527350068092346},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.44353216886520386},{"id":"https://openalex.org/C137246740","wikidata":"https://www.wikidata.org/wiki/Q583970","display_name":"Spectral efficiency","level":3,"score":0.43283793330192566},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3714952766895294},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3481552004814148},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3282028138637543},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.30420416593551636},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1266743540763855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1213752031326294},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10770714282989502},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtcspring.2015.7145755","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcspring.2015.7145755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 81st Vehicular Technology Conference (VTC Spring)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1965956912","https://openalex.org/W1990430200","https://openalex.org/W2031403319","https://openalex.org/W2062053812","https://openalex.org/W2103970559","https://openalex.org/W2109424135","https://openalex.org/W2125838225","https://openalex.org/W2132247362","https://openalex.org/W2156642959","https://openalex.org/W2296616510","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W4300044672","https://openalex.org/W2810730439","https://openalex.org/W1881631164","https://openalex.org/W3133183159","https://openalex.org/W2358292267","https://openalex.org/W4297872561","https://openalex.org/W2952222336","https://openalex.org/W2378166785"],"abstract_inverted_index":{"Massive":[0],"Machine":[1],"Type":[2],"Communication":[3],"is":[4],"seen":[5],"as":[6,69],"one":[7],"major":[8],"driver":[9],"for":[10,18,123],"the":[11,26,100,126,132,149,152],"research":[12],"of":[13,41,63,128,151],"new":[14,109],"physical":[15],"layer":[16],"technologies":[17],"future":[19],"communication":[20],"systems.":[21],"To":[22,54],"handle":[23],"massive":[24,94],"access,":[25],"main":[27],"challenges":[28],"are":[29,145],"avoiding":[30],"control":[31],"signaling":[32],"overhead,":[33],"low":[34,45],"complexity":[35],"data":[36,46],"processing":[37],"per":[38],"sensor,":[39],"supporting":[40],"diverse":[42],"but":[43],"rather":[44],"rates":[47],"and":[48,51],"a":[49,61,139],"flexible":[50],"scalable":[52],"access.":[53],"address":[55],"all":[56],"these":[57],"challenges,":[58],"we":[59,137],"propose":[60],"combination":[62,85],"compressed":[64],"sensing":[65],"based":[66,72],"detection":[67],"known":[68],"Compressed":[70],"Sensing":[71],"Multi":[73],"User":[74],"Detection":[75],"(CS-MUD)":[76],"with":[77,113],"multicarrier":[78,133],"access":[79,97],"schemes.":[80],"We":[81],"name":[82],"this":[83],"novel":[84],"Multicarrier":[86],"CS-MUD":[87,92],"(MCSM).":[88],"Previous":[89],"investigations":[90],"on":[91],"facilitates":[93],"direct":[95],"random":[96],"by":[98,104],"exploiting":[99],"signal":[101],"sparsity":[102],"caused":[103],"sporadic":[105],"sensor":[106],"activity.":[107],"The":[108],"combined":[110],"scheme":[111],"MCSM":[112],"its":[114],"flexibility":[115],"in":[116],"accessing":[117],"time":[118],"frequency":[119],"resources":[120],"additionally":[121],"allows":[122],"either":[124],"reducing":[125],"number":[127],"subcarriers":[129],"or":[130],"shortening":[131],"symbol":[134],"duration,":[135],"i.e.,":[136],"gain":[138],"high":[140],"spectral":[141],"efficiency.":[142],"Simulation":[143],"results":[144],"given":[146],"to":[147],"show":[148],"performance":[150],"proposed":[153],"scheme.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}