{"id":"https://openalex.org/W3016619384","doi":"https://doi.org/10.1109/icaiic48513.2020.9065217","title":"Radio Environment Map Construction with Joint Space-Frequency Interpolation","display_name":"Radio Environment Map Construction with Joint Space-Frequency Interpolation","publication_year":2020,"publication_date":"2020-02-01","ids":{"openalex":"https://openalex.org/W3016619384","doi":"https://doi.org/10.1109/icaiic48513.2020.9065217","mag":"3016619384"},"language":"en","primary_location":{"id":"doi:10.1109/icaiic48513.2020.9065217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic48513.2020.9065217","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","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/A5069290606","display_name":"Koya Sato","orcid":"https://orcid.org/0000-0003-3286-2900"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Koya Sato","raw_affiliation_strings":["Tokyo University of Science, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo University of Science, Tokyo, Japan","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042508606","display_name":"Kei Inage","orcid":null},"institutions":[{"id":"https://openalex.org/I52706244","display_name":"College of Industrial Technology","ror":"https://ror.org/054a9s036","country_code":"JP","type":"education","lineage":["https://openalex.org/I52706244"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kei Inage","raw_affiliation_strings":["Tokyo Metropolitan College of Industrial Technology, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Metropolitan College of Industrial Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I52706244"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054932044","display_name":"Takeo Fujii","orcid":"https://orcid.org/0000-0002-7886-5560"},"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":["Advanced Wireless and Communication Research Center (AWCC), The University of Electro-Communications, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Wireless and Communication Research Center (AWCC), The University of Electro-Communications, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.7252,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.97421169,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"051","last_page":"054"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"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/T10860","display_name":"Speech and Audio Processing","score":0.9987000226974487,"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"}},{"id":"https://openalex.org/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9983999729156494,"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":0.6959750652313232},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6877086162567139},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.6013983488082886},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5611145496368408},{"id":"https://openalex.org/keywords/radio-propagation","display_name":"Radio propagation","score":0.5178537964820862},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.4668021500110626},{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.4619918167591095},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.41939806938171387},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.41104114055633545},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35160714387893677},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3227454423904419},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.29555466771125793},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.22594395279884338},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09116631746292114},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07647237181663513}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6959750652313232},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6877086162567139},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.6013983488082886},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5611145496368408},{"id":"https://openalex.org/C202311505","wikidata":"https://www.wikidata.org/wiki/Q1474701","display_name":"Radio propagation","level":2,"score":0.5178537964820862},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.4668021500110626},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.4619918167591095},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.41939806938171387},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.41104114055633545},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35160714387893677},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3227454423904419},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.29555466771125793},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.22594395279884338},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09116631746292114},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07647237181663513},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaiic48513.2020.9065217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic48513.2020.9065217","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1973344211","https://openalex.org/W1987760278","https://openalex.org/W1989762516","https://openalex.org/W2009244389","https://openalex.org/W2017806736","https://openalex.org/W2093540532","https://openalex.org/W2140452629","https://openalex.org/W2143022286","https://openalex.org/W2157689867","https://openalex.org/W2496675188","https://openalex.org/W2505036611","https://openalex.org/W2767364650","https://openalex.org/W2908215763","https://openalex.org/W4252522533"],"related_works":["https://openalex.org/W1996130883","https://openalex.org/W2748574964","https://openalex.org/W2888483922","https://openalex.org/W4396737233","https://openalex.org/W2367747139","https://openalex.org/W4391102217","https://openalex.org/W2566187525","https://openalex.org/W2566334511","https://openalex.org/W2367150592","https://openalex.org/W1594266509"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,31,42,129],"radio":[6,35],"environment":[7],"map":[8,43],"(REM)":[9],"construction":[10,91],"method":[11,110],"that":[12,44,115,138],"interpolates":[13],"the":[14,21,26,46,59,62,66,81,86,95,99,103,113,116,133,149,153,159],"received":[15,47,118],"signal":[16,48,119],"power":[17],"over":[18,77,132,141],"not":[19,156],"only":[20,74,93],"spatial":[22,52,145],"domain":[23],"but":[24],"also":[25],"frequency":[27,100,134,143],"domain.":[28,135],"REM":[29,64,90,150],"is":[30,38],"tool":[32],"for":[33],"analyzing":[34],"propagation,":[36],"which":[37,80,102,121],"typically":[39],"defined":[40],"as":[41],"stores":[45],"power.":[49],"Crowdsourcing":[50],"with":[51],"interpolation":[53],"(e.g.,":[54],"Kriging)":[55],"can":[56,73,84,105,147],"accurately":[57],"construct":[58,148],"REM,":[60],"and":[61,126,144],"accurate":[63],"improves":[65],"efficiency":[67,97],"of":[68,123],"spectrum":[69],"use.":[70],"However,":[71],"crowdsourcing":[72],"be":[75,106],"performed":[76],"frequencies":[78],"in":[79,98,101],"mobile":[82],"terminals":[83],"perform":[85],"sensing.":[87],"Thus,":[88],"conventional":[89],"may":[92],"improve":[94],"spectral":[96],"sensing":[104],"performed.":[107],"Our":[108],"proposed":[109],"focuses":[111],"on":[112],"fact":[114],"average":[117],"power,":[120],"consists":[122],"path":[124],"loss":[125],"shadowing,":[127],"shows":[128],"strong":[130],"correlation":[131],"We":[136],"show":[137],"utilizing":[139],"correlations":[140],"both":[142],"domains":[146],"even":[151],"if":[152],"datasets":[154],"are":[155],"available":[157],"at":[158],"estimated":[160],"environment.":[161]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}