{"id":"https://openalex.org/W4402835108","doi":"https://doi.org/10.1109/vtc2024-spring62846.2024.10683213","title":"6G Simulator Using Real Environment Model Based on Point Cloud Data","display_name":"6G Simulator Using Real Environment Model Based on Point Cloud Data","publication_year":2024,"publication_date":"2024-06-24","ids":{"openalex":"https://openalex.org/W4402835108","doi":"https://doi.org/10.1109/vtc2024-spring62846.2024.10683213"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2024-spring62846.2024.10683213","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2024-spring62846.2024.10683213","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 99th Vehicular Technology Conference (VTC2024-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/A5108669860","display_name":"Koshiro Kitao","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Koshiro Kitao","raw_affiliation_strings":["NTT DOCOMO, INC.,Kanagawa,Japan,239-8536"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT DOCOMO, INC.,Kanagawa,Japan,239-8536","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068970069","display_name":"Satoshi Suyama","orcid":"https://orcid.org/0000-0002-1451-2125"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoshi Suyama","raw_affiliation_strings":["NTT DOCOMO, INC.,Kanagawa,Japan,239-8536"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT DOCOMO, INC.,Kanagawa,Japan,239-8536","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088752565","display_name":"Takahiro Tomie","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takahiro Tomie","raw_affiliation_strings":["NTT DOCOMO, INC.,Kanagawa,Japan,239-8536"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT DOCOMO, INC.,Kanagawa,Japan,239-8536","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069597417","display_name":"Nobuaki Kuno","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nobuaki Kuno","raw_affiliation_strings":["NTT DOCOMO, INC.,Kanagawa,Japan,239-8536"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT DOCOMO, INC.,Kanagawa,Japan,239-8536","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102252358","display_name":"Kiichi Tateishi","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kiichi Tateishi","raw_affiliation_strings":["NTT DOCOMO, INC.,Kanagawa,Japan,239-8536"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT DOCOMO, INC.,Kanagawa,Japan,239-8536","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101473034","display_name":"Huiling Jiang","orcid":"https://orcid.org/0000-0002-9757-8583"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Huiling Jiang","raw_affiliation_strings":["NTT DOCOMO, INC.,Kanagawa,Japan,239-8536"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT DOCOMO, INC.,Kanagawa,Japan,239-8536","institution_ids":["https://openalex.org/I2251713219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2251713219"],"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/T12698","display_name":"3D Modeling in Geospatial Applications","score":0.9567999839782715,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T12698","display_name":"3D Modeling in Geospatial Applications","score":0.9567999839782715,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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":0.7360568642616272},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.622724175453186},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.573465883731842},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.5066996216773987},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4489794969558716},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4279455244541168},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3362165689468384},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18702608346939087},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1287251114845276},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08914363384246826}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7360568642616272},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.622724175453186},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.573465883731842},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.5066996216773987},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4489794969558716},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4279455244541168},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3362165689468384},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18702608346939087},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1287251114845276},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08914363384246826},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2024-spring62846.2024.10683213","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2024-spring62846.2024.10683213","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2479603417","https://openalex.org/W2955897898","https://openalex.org/W3008904776","https://openalex.org/W3091752016","https://openalex.org/W3124957383","https://openalex.org/W3147714662","https://openalex.org/W3216069328"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W2560439919","https://openalex.org/W4389340727","https://openalex.org/W3150465815","https://openalex.org/W1997222214","https://openalex.org/W2802581102","https://openalex.org/W4205786897"],"abstract_inverted_index":{"The":[0],"6th":[1],"generation":[2],"mobile":[3],"communication":[4],"system":[5,178],"(6G)":[6],"is":[7,67,126],"expected":[8],"to":[9,26,28,38,52,65,75,128,175],"realize":[10,39],"ultrafast":[11,42,82],"and":[12,25,111,139,193,228],"high-capacity":[13],"communications":[14,43,83],"with":[15,122,132,206],"a":[16,59,72,144,148,164,207],"peak":[17],"data":[18,154],"rate":[19],"of":[20,31,48,79,147,169,222,225,231],"more":[21],"than":[22],"100":[23,40,80,101],"Gbps":[24,41,81],"contribute":[27],"the":[29,32,46,77,86,90,100,136,157,177,181,195,199,223],"advancement":[30],"Cyber-Physical":[33],"System":[34],"(CPS).":[35],"In":[36,215],"order":[37,174],"in":[44,104,115,135,156,173,180],"6G,":[45],"utilization":[47],"sub-terahertz":[49,87],"bands":[50],"up":[51],"300":[53],"GHz":[54,102],"band,":[55],"which":[56],"can":[57,95,191],"utilize":[58],"dramatically":[60],"wider":[61],"signal":[62],"bandwidth":[63],"compared":[64],"5G,":[66],"examined.":[68],"We":[69],"have":[70],"developed":[71,185],"6G":[73,93,188],"simulator":[74,189,227],"clarify":[76],"feasibility":[78],"by":[84],"utilizing":[85],"band":[88,103],"for":[89],"system.":[91],"Existing":[92],"simulators":[94],"evaluate":[96,176],"throughput":[97,121,196],"when":[98],"using":[99,143,211],"prepared":[105],"scenarios":[106],"such":[107],"as":[108,163],"shopping":[109],"malls":[110],"factory,":[112],"but":[113],"not":[114],"specific":[116],"real":[117,137,182,208],"environments.":[118],"To":[119],"calculate":[120],"high":[123,133],"accuracy,":[124],"it":[125],"necessary":[127],"estimate":[129],"propagation":[130,170,200],"characteristics":[131,201],"accuracy":[134],"environment,":[138,183],"recently,":[140],"raytrace":[141,204],"simulation":[142,205],"polygon":[145],"model":[146,210],"structure":[149],"generated":[150],"from":[151,203],"point":[152,212],"cloud":[153,213],"acquired":[155],"evaluation":[158],"environment":[159,209],"has":[160],"attracted":[161],"attention":[162],"highly":[165],"accurate":[166],"estimation":[167],"method":[168],"characteristics.":[171],"Therefore,":[172],"performance":[179,232],"we":[184,218],"an":[186,220,229],"advanced":[187],"that":[190],"simulate":[192],"visualize":[194],"based":[197],"on":[198],"obtained":[202],"data.":[214],"this":[216,226],"paper,":[217],"describe":[219],"overview":[221],"functions":[224],"example":[230],"evaluation.":[233]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}