{"id":"https://openalex.org/W3130349589","doi":"https://doi.org/10.1109/vtc2020-fall49728.2020.9348843","title":"Enabling Massive Access of IoT by Superposition Bloom Filter and Compressed Sensing","display_name":"Enabling Massive Access of IoT by Superposition Bloom Filter and Compressed Sensing","publication_year":2020,"publication_date":"2020-11-01","ids":{"openalex":"https://openalex.org/W3130349589","doi":"https://doi.org/10.1109/vtc2020-fall49728.2020.9348843","mag":"3130349589"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2020-fall49728.2020.9348843","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2020-fall49728.2020.9348843","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall)","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/A5013012893","display_name":"Zhe Luo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhe Luo","raw_affiliation_strings":["HUAWEI TECHNOLOGIES CO., LTD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HUAWEI TECHNOLOGIES CO., LTD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100380505","display_name":"Fan Wang","orcid":"https://orcid.org/0000-0002-1445-6928"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fan Wang","raw_affiliation_strings":["HUAWEI TECHNOLOGIES CO., LTD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HUAWEI TECHNOLOGIES CO., LTD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004786100","display_name":"Mengying Ding","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mengying Ding","raw_affiliation_strings":["HUAWEI TECHNOLOGIES CO., LTD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HUAWEI TECHNOLOGIES CO., LTD","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100378075","display_name":"Yan Chen","orcid":"https://orcid.org/0000-0002-3227-4562"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yan Chen","raw_affiliation_strings":["HUAWEI TECHNOLOGIES CO., LTD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HUAWEI TECHNOLOGIES CO., LTD","institution_ids":[]}]}],"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":1,"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T11458","display_name":"Advanced Wireless Communication 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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7514866590499878},{"id":"https://openalex.org/keywords/bloom-filter","display_name":"Bloom filter","score":0.5984945893287659},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.573510468006134},{"id":"https://openalex.org/keywords/matched-filter","display_name":"Matched filter","score":0.5570785403251648},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5532193779945374},{"id":"https://openalex.org/keywords/superposition-principle","display_name":"Superposition principle","score":0.5372576117515564},{"id":"https://openalex.org/keywords/signature","display_name":"Signature (topology)","score":0.5370975732803345},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.5110036134719849},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.4980661869049072},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.4645841717720032},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.454782634973526},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41812416911125183},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19316893815994263},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14459511637687683},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13163352012634277},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.07814764976501465}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7514866590499878},{"id":"https://openalex.org/C147224247","wikidata":"https://www.wikidata.org/wiki/Q885373","display_name":"Bloom filter","level":2,"score":0.5984945893287659},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.573510468006134},{"id":"https://openalex.org/C50151734","wikidata":"https://www.wikidata.org/wiki/Q1759577","display_name":"Matched filter","level":3,"score":0.5570785403251648},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5532193779945374},{"id":"https://openalex.org/C27753989","wikidata":"https://www.wikidata.org/wiki/Q284885","display_name":"Superposition principle","level":2,"score":0.5372576117515564},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.5370975732803345},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.5110036134719849},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.4980661869049072},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.4645841717720032},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.454782634973526},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41812416911125183},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19316893815994263},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14459511637687683},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13163352012634277},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.07814764976501465},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2020-fall49728.2020.9348843","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2020-fall49728.2020.9348843","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1620362451","https://openalex.org/W2116633494","https://openalex.org/W2123845384","https://openalex.org/W2156237015","https://openalex.org/W2552015277","https://openalex.org/W2607907172","https://openalex.org/W2706056020","https://openalex.org/W2784331297","https://openalex.org/W2885822077","https://openalex.org/W2898945729","https://openalex.org/W2915412222","https://openalex.org/W2963116117","https://openalex.org/W2964059801","https://openalex.org/W2964322256"],"related_works":["https://openalex.org/W2227807207","https://openalex.org/W2370014100","https://openalex.org/W4287264924","https://openalex.org/W3137108924","https://openalex.org/W1852009617","https://openalex.org/W2042819006","https://openalex.org/W2170165007","https://openalex.org/W1979110442","https://openalex.org/W2156660460","https://openalex.org/W2362866566"],"abstract_inverted_index":{"The":[0,62,127],"pilot":[1,30,35,43,87,96,134],"design":[2,102],"and":[3,101,110,121,135,150],"the":[4,9,56,59,82,92,119,141],"corresponding":[5,136],"receiver":[6,104,137],"algorithm":[7,105,138],"are":[8],"key":[10,63],"issue":[11],"to":[12,70],"support":[13],"massive":[14],"access":[15],"via":[16],"grant-free":[17],"uplink":[18],"transmission.":[19],"In":[20],"this":[21],"paper,":[22],"we":[23,90],"propose":[24],"a":[25,103],"Superposition":[26],"Bloom":[27],"Filter":[28],"(SBF)":[29],"design,":[31],"where":[32],"an":[33],"SBF":[34,42,60,133],"is":[36,69],"composed":[37],"of":[38,53,58,77,94,124,146],"several":[39],"sequences.":[40,126],"A":[41],"can":[44],"be":[45],"distinguished":[46],"from":[47],"another":[48],"one":[49],"by":[50],"different":[51],"combination":[52],"sequences,":[54],"i.e.,":[55],"signature":[57,115],"pilot.":[61],"improvement":[64],"over":[65],"previous":[66,159],"BF-related":[67],"work":[68],"consider":[71],"superposed":[72],"complex":[73],"hash-coded":[74],"information":[75,123],"instead":[76],"binary":[78],"one.":[79],"To":[80],"guarantee":[81],"detection":[83,109,142,148],"performance":[84,143],"under":[85],"large":[86],"pool":[88,97],"size,":[89],"give":[91],"rule":[93],"constructing":[95],"based":[98,114],"on":[99],"(K;D;\u03c1)-expander":[100],"including":[106],"correlation-based":[107],"sequence":[108],"compressed":[111],"sensing":[112],"(CS)":[113],"recognition,":[116],"which":[117],"uses":[118],"amplitude":[120],"phase":[122],"received":[125],"simulation":[128],"results":[129],"show":[130],"our":[131],"proposed":[132],"greatly":[139],"improve":[140],"in":[144,154],"terms":[145],"missing":[147],"probability":[149,153],"false":[151],"alarm":[152],"frequency-selective":[155],"channels,":[156],"compared":[157],"with":[158],"work.":[160]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}