{"id":"https://openalex.org/W4404576822","doi":"https://doi.org/10.1109/twc.2024.3498058","title":"Environment Sensing-Aided Beam Prediction With Transfer Learning for Smart Factory","display_name":"Environment Sensing-Aided Beam Prediction With Transfer Learning for Smart Factory","publication_year":2024,"publication_date":"2024-11-21","ids":{"openalex":"https://openalex.org/W4404576822","doi":"https://doi.org/10.1109/twc.2024.3498058"},"language":"en","primary_location":{"id":"doi:10.1109/twc.2024.3498058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2024.3498058","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Wireless Communications","raw_type":"journal-article"},"type":"article","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/A5038278140","display_name":"Yuan Feng","orcid":"https://orcid.org/0009-0003-6982-1296"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuan Feng","raw_affiliation_strings":["Department of Automation and the State Key Laboratory of Intelligent Technologies and Systems, Tsinghua University, Beijing, China","Department of Automation, Tsinghua University, State Key Lab of Intelligent Technologies and Systems, Tsinghua University, State Key for Information Science and Technology (TNList), Beijing, P. R. China"],"raw_orcid":"https://orcid.org/0009-0003-6982-1296","affiliations":[{"raw_affiliation_string":"Department of Automation and the State Key Laboratory of Intelligent Technologies and Systems, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Automation, Tsinghua University, State Key Lab of Intelligent Technologies and Systems, Tsinghua University, State Key for Information Science and Technology (TNList), Beijing, P. R. China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101324407","display_name":"Chuanbin Zhao","orcid":"https://orcid.org/0009-0003-3668-4926"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanbin Zhao","raw_affiliation_strings":["Department of Automation and the State Key Laboratory of Intelligent Technologies and Systems, Tsinghua University, Beijing, China","Department of Automation, Tsinghua University, State Key Lab of Intelligent Technologies and Systems, Tsinghua University, State Key for Information Science and Technology (TNList), Beijing, P. R. China"],"raw_orcid":"https://orcid.org/0009-0003-3668-4926","affiliations":[{"raw_affiliation_string":"Department of Automation and the State Key Laboratory of Intelligent Technologies and Systems, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Automation, Tsinghua University, State Key Lab of Intelligent Technologies and Systems, Tsinghua University, State Key for Information Science and Technology (TNList), Beijing, P. R. China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050402661","display_name":"Feifei Gao","orcid":"https://orcid.org/0000-0001-8896-352X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feifei Gao","raw_affiliation_strings":["Department of Automation and the State Key Laboratory of Intelligent Technologies and Systems, Tsinghua University, Beijing, China","Department of Automation, Tsinghua University, State Key Lab of Intelligent Technologies and Systems, Tsinghua University, State Key for Information Science and Technology (TNList), Beijing, P. R. China"],"raw_orcid":"https://orcid.org/0000-0001-8896-352X","affiliations":[{"raw_affiliation_string":"Department of Automation and the State Key Laboratory of Intelligent Technologies and Systems, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Automation, Tsinghua University, State Key Lab of Intelligent Technologies and Systems, Tsinghua University, State Key for Information Science and Technology (TNList), Beijing, P. R. China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007650371","display_name":"Yong Zhang","orcid":"https://orcid.org/0000-0001-6316-2734"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Zhang","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, School of Information Science and Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, School of Information Science and Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053586699","display_name":"Shaodan Ma","orcid":"https://orcid.org/0000-0001-5521-3650"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]},{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Shaodan Ma","raw_affiliation_strings":["Department of Electrical and Computer Engineering, State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau, SAR, China","Department of Electrical and Computer Engineering, State Key Laboratory of Internet of Things for Smart City, University of Macau, Macao SAR, China"],"raw_orcid":"https://orcid.org/0000-0001-5521-3650","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau, SAR, China","institution_ids":["https://openalex.org/I6469544","https://openalex.org/I204512498"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, State Key Laboratory of Internet of Things for Smart City, University of Macau, Macao SAR, China","institution_ids":["https://openalex.org/I6469544","https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5038278140"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.9911,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.77410972,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"24","issue":"1","first_page":"676","last_page":"690"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12486","display_name":"Food Supply Chain Traceability","score":0.853600025177002,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12486","display_name":"Food Supply Chain Traceability","score":0.853600025177002,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T14156","display_name":"Engineering Applied Research","score":0.836899995803833,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.7820000052452087,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/transfer-of-learning","display_name":"Transfer of learning","score":0.6923871040344238},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6311703324317932},{"id":"https://openalex.org/keywords/factory","display_name":"Factory (object-oriented programming)","score":0.5598376989364624},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44814157485961914},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33300504088401794}],"concepts":[{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6923871040344238},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6311703324317932},{"id":"https://openalex.org/C40149104","wikidata":"https://www.wikidata.org/wiki/Q5620977","display_name":"Factory (object-oriented programming)","level":2,"score":0.5598376989364624},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44814157485961914},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33300504088401794},{"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/twc.2024.3498058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2024.3498058","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Wireless Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G448987220","display_name":null,"funder_award_id":"L222002","funder_id":"https://openalex.org/F4320334977","funder_display_name":"Beijing Municipal Natural Science Foundation"},{"id":"https://openalex.org/G6643904821","display_name":null,"funder_award_id":"U23A20272","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8392669911","display_name":null,"funder_award_id":"62261160650","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8990715105","display_name":null,"funder_award_id":"62341107","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation 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/F4320334977","display_name":"Beijing Municipal Natural Science Foundation","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2034996255","https://openalex.org/W2040582952","https://openalex.org/W2064675550","https://openalex.org/W2070665593","https://openalex.org/W2093230975","https://openalex.org/W2110618891","https://openalex.org/W2151103935","https://openalex.org/W2194775991","https://openalex.org/W2195693430","https://openalex.org/W2211722331","https://openalex.org/W2330766129","https://openalex.org/W2519199086","https://openalex.org/W2787091153","https://openalex.org/W2912327653","https://openalex.org/W2914111477","https://openalex.org/W2962944637","https://openalex.org/W2969008381","https://openalex.org/W3021047884","https://openalex.org/W3039059058","https://openalex.org/W3045086480","https://openalex.org/W3091752016","https://openalex.org/W3153765011","https://openalex.org/W3194668692","https://openalex.org/W3198337497","https://openalex.org/W3213965409","https://openalex.org/W4207037760","https://openalex.org/W4221053020","https://openalex.org/W4300905261","https://openalex.org/W4312243895","https://openalex.org/W4312841070","https://openalex.org/W4378696931","https://openalex.org/W4391128694","https://openalex.org/W4400762160","https://openalex.org/W6628877408","https://openalex.org/W6682132143","https://openalex.org/W6737664043","https://openalex.org/W6781260883"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"In":[0,25],"this":[1],"paper,":[2],"we":[3,27,76],"propose":[4],"an":[5],"environment":[6],"sensing-aided":[7],"beam":[8,37,117],"prediction":[9,118,131],"model":[10,32,87,103],"for":[11],"smart":[12],"factory":[13],"that":[14,33,83,99],"can":[15],"be":[16],"transferred":[17],"from":[18,111],"given":[19],"environments":[20],"to":[21,60,127],"a":[22,30,46,53,79],"new":[23,47,57,94,113],"environment.":[24,95],"particular,":[26],"first":[28],"design":[29,78],"pre-training":[31,73],"predicts":[34],"the":[35,40,62,68,71,85,93,101,112,115,125,130,133,139,143],"optimal":[36],"by":[38,88,106],"sensing":[39],"present":[41],"environmental":[42],"information.":[43],"When":[44],"encountering":[45],"environment,":[48,114],"it":[49],"generally":[50],"requires":[51],"collecting":[52],"large":[54],"amount":[55,134],"of":[56,70,92,108,135,142],"training":[58,136],"data":[59,91,110,137],"retrain":[61],"model,":[63,132],"whose":[64],"cost":[65,141],"severely":[66],"impedes":[67],"application":[69],"designed":[72],"model.":[74],"Therefore,":[75],"next":[77],"transfer":[80,145],"learning":[81,146],"strategy":[82,147],"fine-tunes":[84],"pre-trained":[86,102],"limited":[89],"labeled":[90,109],"Simulation":[96],"results":[97],"show":[98],"when":[100],"is":[104],"fine-tuned":[105],"30%":[107],"Top-10":[116],"accuracy":[119],"reaches":[120],"94%.":[121],"Moreover,":[122],"compared":[123],"with":[124],"way":[126],"completely":[128],"re-training":[129],"and":[138,150],"time":[140],"proposed":[144],"reduce":[148],"70%":[149],"75%":[151],"respectively.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}