{"id":"https://openalex.org/W4297911795","doi":"https://doi.org/10.1109/iccc55456.2022.9880790","title":"Machine-Learning-Assisted Scenario Classification Using Large-Scale Fading Characteristics and Geographic Information","display_name":"Machine-Learning-Assisted Scenario Classification Using Large-Scale Fading Characteristics and Geographic Information","publication_year":2022,"publication_date":"2022-08-11","ids":{"openalex":"https://openalex.org/W4297911795","doi":"https://doi.org/10.1109/iccc55456.2022.9880790"},"language":"en","primary_location":{"id":"doi:10.1109/iccc55456.2022.9880790","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccc55456.2022.9880790","pdf_url":null,"source":{"id":"https://openalex.org/S4363608039","display_name":"2022 IEEE/CIC International Conference on Communications in China (ICCC)","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/CIC International Conference on Communications in China (ICCC)","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/A5101867093","display_name":"Meng Zhao","orcid":"https://orcid.org/0000-0002-5302-8272"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Zhao","raw_affiliation_strings":["Southeast University,State Key Laboratory of mmWave,Nanjing,China","State Key Laboratory of mmWave, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University,State Key Laboratory of mmWave,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"State Key Laboratory of mmWave, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103234102","display_name":"Yiming Yu","orcid":"https://orcid.org/0000-0003-1852-4868"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiming Yu","raw_affiliation_strings":["China Mobile Group Design Institute Co., Ltd.,Beijing,China","China Mobile Group Design Institute Co., Ltd., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Mobile Group Design Institute Co., Ltd.,Beijing,China","institution_ids":["https://openalex.org/I180662265"]},{"raw_affiliation_string":"China Mobile Group Design Institute Co., Ltd., Beijing, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082805158","display_name":"Cheng Yi","orcid":"https://orcid.org/0000-0002-4631-0480"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Yi","raw_affiliation_strings":["Southeast University,State Key Laboratory of mmWave,Nanjing,China","State Key Laboratory of mmWave, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University,State Key Laboratory of mmWave,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"State Key Laboratory of mmWave, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100603995","display_name":"Haiming Wang","orcid":"https://orcid.org/0000-0002-6156-258X"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiming Wang","raw_affiliation_strings":["Southeast University,State Key Laboratory of mmWave,Nanjing,China","State Key Laboratory of mmWave, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University,State Key Laboratory of mmWave,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"State Key Laboratory of mmWave, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003136805","display_name":"Songtao Gao","orcid":"https://orcid.org/0000-0002-5583-6038"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songtao Gao","raw_affiliation_strings":["China Mobile Group Design Institute Co., Ltd.,Beijing,China","China Mobile Group Design Institute Co., Ltd., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Mobile Group Design Institute Co., Ltd.,Beijing,China","institution_ids":["https://openalex.org/I180662265"]},{"raw_affiliation_string":"China Mobile Group Design Institute Co., Ltd., Beijing, China","institution_ids":["https://openalex.org/I180662265"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"43","last_page":"48"},"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/T13905","display_name":"Telecommunications and Broadcasting Technologies","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9846000075340271,"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/fading","display_name":"Fading","score":0.779229998588562},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7461588382720947},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.6444226503372192},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5751802325248718},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5547093152999878},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5400418043136597},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4598913788795471},{"id":"https://openalex.org/keywords/geographic-information-system","display_name":"Geographic information system","score":0.4278336763381958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37623006105422974},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3515191078186035},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.34650570154190063},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.23424032330513},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.16915655136108398},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1408170461654663},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.08498597145080566}],"concepts":[{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.779229998588562},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7461588382720947},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.6444226503372192},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5751802325248718},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5547093152999878},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5400418043136597},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4598913788795471},{"id":"https://openalex.org/C41856607","wikidata":"https://www.wikidata.org/wiki/Q483130","display_name":"Geographic information system","level":2,"score":0.4278336763381958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37623006105422974},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3515191078186035},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34650570154190063},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.23424032330513},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.16915655136108398},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1408170461654663},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.08498597145080566}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccc55456.2022.9880790","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccc55456.2022.9880790","pdf_url":null,"source":{"id":"https://openalex.org/S4363608039","display_name":"2022 IEEE/CIC International Conference on Communications in China (ICCC)","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/CIC International Conference on Communications in China (ICCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G2734937587","display_name":null,"funder_award_id":"61960206006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6907490514","display_name":null,"funder_award_id":"2018YFB1801101","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1584244501","https://openalex.org/W1992889383","https://openalex.org/W2606436201","https://openalex.org/W2890445686","https://openalex.org/W2907593333","https://openalex.org/W2962946835","https://openalex.org/W3001909141","https://openalex.org/W3004095789","https://openalex.org/W3008226664","https://openalex.org/W3024826073","https://openalex.org/W3037865499","https://openalex.org/W3047207110","https://openalex.org/W3162347634","https://openalex.org/W4200384360","https://openalex.org/W4212838433","https://openalex.org/W4226391550","https://openalex.org/W6648628592","https://openalex.org/W6773402537","https://openalex.org/W6804678832"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W2623427976","https://openalex.org/W2889222875","https://openalex.org/W2568907318","https://openalex.org/W2379489406","https://openalex.org/W3200179079","https://openalex.org/W2209962797","https://openalex.org/W2979111866","https://openalex.org/W2889474515","https://openalex.org/W4249229055"],"abstract_inverted_index":{"With":[0],"the":[1,27,38,48,51,76,79,119,131,136,148,157,184],"continuous":[2],"growth":[3],"of":[4,53,63,78,118,135,159,166,186],"mobile":[5,187],"communications,":[6],"great":[7],"progress":[8],"has":[9],"been":[10],"made":[11],"in":[12,23,94,99,145],"wireless":[13,49,111],"channel":[14,19,39,64],"measurements":[15],"and":[16,26,61,66,71,75,84,109,123,133,178],"modeling.":[17],"The":[18,59,96,138,171],"characteristics":[20,122],"vary":[21],"significantly":[22],"different":[24],"scenarios,":[25,113],"scenario":[28,172],"factor":[29],"can":[30],"be":[31],"used":[32],"as":[33],"an":[34,43],"important":[35],"reference":[36],"for":[37,106],"model.":[40],"To":[41],"get":[42],"accurate":[44],"variable":[45],"to":[46,183],"represent":[47],"environment,":[50],"classification":[52,173],"radio":[54],"propagation":[55],"scenarios":[56,144],"is":[57,161,168],"investigated.":[58],"collection":[60],"processing":[62],"data":[65],"geographic":[67,124],"information":[68,125],"about":[69],"landforms":[70],"buildings":[72],"are":[73,92],"described,":[74],"principle":[77],"K-Nearest":[80],"Neighbors":[81],"(KNN)":[82],"algorithm":[83,91],"its":[85],"improved":[86],"method":[87,97,174],"weighted":[88],"KNN":[89,160],"(WKNN)":[90],"discussed":[93],"detail.":[95],"proposed":[98],"this":[100],"paper":[101],"provides":[102],"a":[103],"feasible":[104],"scheme":[105],"accurately":[107],"defining":[108],"classifying":[110,143],"communication":[112],"only":[114],"by":[115],"taking":[116],"advantage":[117],"large-scale":[120],"fading":[121],"system":[126],"(GIS),":[127],"which":[128],"greatly":[129],"reduces":[130],"workload":[132],"difficulty":[134],"experiment.":[137],"result":[139],"shows":[140],"that":[141,165],"when":[142],"one":[146],"province,":[147],"classifier":[149],"works":[150],"well.":[151],"When":[152],"faced":[153],"with":[154,175],"several":[155],"provinces,":[156],"accuracy":[158,177],"above":[162,169],"90%,":[163],"while":[164],"WKNN":[167],"95%.":[170],"high":[176],"low":[179],"complexity":[180],"brings":[181],"convenience":[182],"development":[185],"communications.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}