{"id":"https://openalex.org/W3203163709","doi":"https://doi.org/10.1109/icccworkshops52231.2021.9538889","title":"Research on mobility prediction in 5G and beyond for vertical industries","display_name":"Research on mobility prediction in 5G and beyond for vertical industries","publication_year":2021,"publication_date":"2021-07-28","ids":{"openalex":"https://openalex.org/W3203163709","doi":"https://doi.org/10.1109/icccworkshops52231.2021.9538889","mag":"3203163709"},"language":"en","primary_location":{"id":"doi:10.1109/icccworkshops52231.2021.9538889","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccworkshops52231.2021.9538889","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","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/A5100370084","display_name":"Wenhui Wang","orcid":"https://orcid.org/0000-0003-0433-0261"},"institutions":[{"id":"https://openalex.org/I4391767964","display_name":"State Key Laboratory of Wireless Mobile Communications","ror":"https://ror.org/02j79dc41","country_code":null,"type":"facility","lineage":["https://openalex.org/I4210162623","https://openalex.org/I4391767964"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhui Wang","raw_affiliation_strings":["State Key Lab of Wireless Mobile Communication, China Academy of Telecommunications Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Lab of Wireless Mobile Communication, China Academy of Telecommunications Technology, Beijing, China","institution_ids":["https://openalex.org/I4391767964"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064862237","display_name":"Xiaoyan Duan","orcid":"https://orcid.org/0000-0002-0782-9087"},"institutions":[{"id":"https://openalex.org/I4391767964","display_name":"State Key Laboratory of Wireless Mobile Communications","ror":"https://ror.org/02j79dc41","country_code":null,"type":"facility","lineage":["https://openalex.org/I4210162623","https://openalex.org/I4391767964"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyan Duan","raw_affiliation_strings":["State Key Lab of Wireless Mobile Communication, China Academy of Telecommunications Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Lab of Wireless Mobile Communication, China Academy of Telecommunications Technology, Beijing, China","institution_ids":["https://openalex.org/I4391767964"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082657536","display_name":"Wanfei Sun","orcid":"https://orcid.org/0000-0002-7216-7390"},"institutions":[{"id":"https://openalex.org/I4210162623","display_name":"Datang Telecom Group (China)","ror":"https://ror.org/050rf2257","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210162623"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanfei Sun","raw_affiliation_strings":["Datang Mobile Communication Equipment Co., Ltd, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Datang Mobile Communication Equipment Co., Ltd, Beijing, China","institution_ids":["https://openalex.org/I4210162623"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102926485","display_name":"Ming Ai","orcid":"https://orcid.org/0000-0003-1725-3576"},"institutions":[{"id":"https://openalex.org/I4391767964","display_name":"State Key Laboratory of Wireless Mobile Communications","ror":"https://ror.org/02j79dc41","country_code":null,"type":"facility","lineage":["https://openalex.org/I4210162623","https://openalex.org/I4391767964"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming AI","raw_affiliation_strings":["State Key Lab of Wireless Mobile Communication, China Academy of Telecommunications Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Lab of Wireless Mobile Communication, China Academy of Telecommunications Technology, Beijing, China","institution_ids":["https://openalex.org/I4391767964"]}]}],"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":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"379","last_page":"383"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9997000098228455,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9840999841690063,"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"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9477999806404114,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7184925079345703},{"id":"https://openalex.org/keywords/retraining","display_name":"Retraining","score":0.6674995422363281},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6021698713302612},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5217353105545044},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.501683235168457},{"id":"https://openalex.org/keywords/mobility-management","display_name":"Mobility management","score":0.48120051622390747},{"id":"https://openalex.org/keywords/mobility-model","display_name":"Mobility model","score":0.4567072093486786},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4376028776168823},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33983296155929565},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18570566177368164}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7184925079345703},{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.6674995422363281},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6021698713302612},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5217353105545044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.501683235168457},{"id":"https://openalex.org/C2778555145","wikidata":"https://www.wikidata.org/wiki/Q4476379","display_name":"Mobility management","level":2,"score":0.48120051622390747},{"id":"https://openalex.org/C191485582","wikidata":"https://www.wikidata.org/wiki/Q6887309","display_name":"Mobility model","level":2,"score":0.4567072093486786},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4376028776168823},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33983296155929565},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18570566177368164},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","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/C155202549","wikidata":"https://www.wikidata.org/wiki/Q178803","display_name":"International trade","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/icccworkshops52231.2021.9538889","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccworkshops52231.2021.9538889","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6000000238418579}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1626398438","https://openalex.org/W2890052926","https://openalex.org/W2893438196","https://openalex.org/W2911529897","https://openalex.org/W2918517354","https://openalex.org/W2956287022","https://openalex.org/W2962953297","https://openalex.org/W2963393241","https://openalex.org/W3033354888","https://openalex.org/W3131008338","https://openalex.org/W6636500457"],"related_works":["https://openalex.org/W2053144196","https://openalex.org/W2066495605","https://openalex.org/W3015145336","https://openalex.org/W1681922853","https://openalex.org/W1546503785","https://openalex.org/W2028976534","https://openalex.org/W1552030331","https://openalex.org/W4234033162","https://openalex.org/W2034011337","https://openalex.org/W2365989226"],"abstract_inverted_index":{"Intelligent":[0],"mobility":[1,9,41,79,119],"management":[2],"and":[3,36,48,70,96],"service":[4],"control":[5],"based":[6,40,78],"on":[7,38],"UE":[8,118],"prediction":[10,104,120],"is":[11],"one":[12],"hot":[13],"topic":[14],"in":[15,34,121],"current":[16],"AI-assisted":[17],"5G/B5G":[18],"research,":[19],"which":[20,56,125],"can":[21],"also":[22],"be":[23,130],"applied":[24],"to":[25],"vertical":[26],"industries":[27],"communication.":[28],"We":[29,51],"analyzed":[30],"the":[31,46,82],"standard":[32],"progress":[33],"3GPP":[35],"IMT-2020":[37],"AI":[39,77],"prediction,":[42,80],"as":[43,45,91],"well":[44],"challenges":[47],"possible":[49],"solutions.":[50],"selected":[52],"three":[53],"different":[54],"models,":[55],"are":[57],"Long":[58,65],"Short-Term":[59,66],"Memory":[60,67],"(LSTM)":[61],"model,":[62],"Attention":[63],"Bidirectional":[64],"(BiLSTM-attention)":[68],"model":[69,75,94],"Artificial":[71],"Neural":[72],"Network":[73],"(ANN)":[74],"for":[76,124],"using":[81],"data":[83],"from":[84],"Geolife":[85],"project":[86],"of":[87,102,116],"Microsoft":[88],"Research":[89],"Asia":[90],"input.":[92],"By":[93],"retraining":[95],"optimization,":[97],"we":[98,113],"achieved":[99],"higher":[100],"accuracies":[101],"trajectory":[103],"(around":[105],"90%)":[106],"with":[107],"shorter":[108],"training":[109],"time.":[110],"In":[111],"addition,":[112],"presented":[114],"examples":[115],"applying":[117],"various":[122],"verticals,":[123],"our":[126],"optimized":[127],"models":[128],"may":[129],"applied.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
