{"id":"https://openalex.org/W4317418790","doi":"https://doi.org/10.1109/vtc2022-fall57202.2022.10012802","title":"Blockage Prediction for Millimeter-wave Communications Based on People Flow Data","display_name":"Blockage Prediction for Millimeter-wave Communications Based on People Flow Data","publication_year":2022,"publication_date":"2022-09-01","ids":{"openalex":"https://openalex.org/W4317418790","doi":"https://doi.org/10.1109/vtc2022-fall57202.2022.10012802"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2022-fall57202.2022.10012802","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/vtc2022-fall57202.2022.10012802","pdf_url":null,"source":{"id":"https://openalex.org/S4363607792","display_name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-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/A5011004670","display_name":"Hirofumi Nakajo","orcid":null},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hirofumi Nakajo","raw_affiliation_strings":["The University of Electro-Communications 1–5–1 Chofugaoka, Chofu,Advanced Wireless and Communication Research Center (AWCC),Tokyo,Japan,182\u20138585"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Electro-Communications 1–5–1 Chofugaoka, Chofu,Advanced Wireless and Communication Research Center (AWCC),Tokyo,Japan,182\u20138585","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057514224","display_name":"Takeo Fujii","orcid":null},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takeo Fujii","raw_affiliation_strings":["The University of Electro-Communications 1–5–1 Chofugaoka, Chofu,Advanced Wireless and Communication Research Center (AWCC),Tokyo,Japan,182\u20138585"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Electro-Communications 1–5–1 Chofugaoka, Chofu,Advanced Wireless and Communication Research Center (AWCC),Tokyo,Japan,182\u20138585","institution_ids":["https://openalex.org/I20529979"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20529979"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24733333,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9991000294685364,"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9991000294685364,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.970300018787384,"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/pedestrian","display_name":"Pedestrian","score":0.7330916523933411},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6041973233222961},{"id":"https://openalex.org/keywords/extremely-high-frequency","display_name":"Extremely high frequency","score":0.5847859978675842},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5588788986206055},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.552419900894165},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.5489606261253357},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.5159803032875061},{"id":"https://openalex.org/keywords/duration","display_name":"Duration (music)","score":0.4708649218082428},{"id":"https://openalex.org/keywords/millimeter","display_name":"Millimeter","score":0.42296475172042847},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3844539225101471},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.37083888053894043},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.30677080154418945},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.20902058482170105},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1808326542377472},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.15549352765083313},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1322268843650818},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1297226846218109},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09781643748283386},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.08506530523300171}],"concepts":[{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.7330916523933411},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6041973233222961},{"id":"https://openalex.org/C45764600","wikidata":"https://www.wikidata.org/wiki/Q570342","display_name":"Extremely high frequency","level":2,"score":0.5847859978675842},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5588788986206055},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.552419900894165},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.5489606261253357},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.5159803032875061},{"id":"https://openalex.org/C112758219","wikidata":"https://www.wikidata.org/wiki/Q16038819","display_name":"Duration (music)","level":2,"score":0.4708649218082428},{"id":"https://openalex.org/C109792285","wikidata":"https://www.wikidata.org/wiki/Q174789","display_name":"Millimeter","level":2,"score":0.42296475172042847},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3844539225101471},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.37083888053894043},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.30677080154418945},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.20902058482170105},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1808326542377472},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.15549352765083313},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1322268843650818},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1297226846218109},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09781643748283386},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.08506530523300171},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2022-fall57202.2022.10012802","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/vtc2022-fall57202.2022.10012802","pdf_url":null,"source":{"id":"https://openalex.org/S4363607792","display_name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2069508080","https://openalex.org/W2113257905","https://openalex.org/W2145417574","https://openalex.org/W2244336442","https://openalex.org/W2368600038","https://openalex.org/W2575213793","https://openalex.org/W2917008282","https://openalex.org/W2963276168","https://openalex.org/W2969008381","https://openalex.org/W3107515093","https://openalex.org/W6690620789"],"related_works":["https://openalex.org/W2317169686","https://openalex.org/W1185324648","https://openalex.org/W2539553997","https://openalex.org/W3159902002","https://openalex.org/W3208155863","https://openalex.org/W2363237216","https://openalex.org/W2033762247","https://openalex.org/W2530392398","https://openalex.org/W2070366004","https://openalex.org/W1997983170"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,44,96],"novel":[4],"method":[5,132],"for":[6],"deriving":[7],"the":[8,37,41,60,70,76,88,93,99,106,111,115,119,124,131],"average":[9,66,120],"blockage":[10,91,121,135],"duration":[11,122],"based":[12,104],"on":[13,52,105],"time-series":[14,50,116],"prediction":[15],"of":[16,40,63,79,90,95,114,118],"future":[17,61],"pedestrians":[18],"using":[19],"people":[20,53],"flow":[21,54,81],"data":[22,51,117],"toward":[23],"reliable":[24],"millimeter-wave":[25],"communications.":[26],"The":[27,65],"issue":[28],"is":[29,72],"to":[30,58,82],"stably":[31],"predict":[32,59],"pedestrian":[33,83,97],"conditions,":[34],"which":[35],"are":[36],"main":[38],"cause":[39],"blockage,":[42],"in":[43,55,69,98,123],"realistic":[45],"environment.":[46],"Therefore,":[47],"we":[48,86,109,129],"utilize":[49],"an":[56],"area,":[57],"state":[62],"pedestrians.":[64],"walking":[67],"speed":[68],"area":[71],"calculated":[73],"by":[74],"giving":[75],"predicted":[77],"values":[78],"traffic":[80],"models.":[84],"Furthermore,":[85],"define":[87],"occurrence":[89],"as":[92],"existence":[94],"first":[100],"Fresnel":[101],"zone,":[102],"and":[103,138],"above":[107],"information,":[108],"calculate":[110],"estimated":[112],"value":[113],"area.":[125],"In":[126],"this":[127],"paper,":[128],"evaluate":[130],"via":[133],"human":[134],"experimental":[136],"measurements":[137],"computer":[139],"simulations.":[140]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}