{"id":"https://openalex.org/W4385624378","doi":"https://doi.org/10.1109/icufn57995.2023.10200558","title":"Parallel Network Assisted Calibrated Beam Training for mmWave Communication Systems","display_name":"Parallel Network Assisted Calibrated Beam Training for mmWave Communication Systems","publication_year":2023,"publication_date":"2023-07-04","ids":{"openalex":"https://openalex.org/W4385624378","doi":"https://doi.org/10.1109/icufn57995.2023.10200558"},"language":"en","primary_location":{"id":"doi:10.1109/icufn57995.2023.10200558","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icufn57995.2023.10200558","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Fourteenth International Conference on Ubiquitous and Future Networks (ICUFN)","raw_type":"proceedings-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/A5077417443","display_name":"Jihyung Kim","orcid":"https://orcid.org/0000-0002-3854-3145"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]},{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jihyung Kim","raw_affiliation_strings":["Sejong University,Department of Artificial Intelligence,Seoul,South Korea","Spatial Wireless Transmission Research Section Electronics and Telecommunications Research Institute,Daejeon,South Korea","Spatial Wireless Transmission Research Section Electronics and Telecommunications Research Institute, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"Sejong University,Department of Artificial Intelligence,Seoul,South Korea","institution_ids":["https://openalex.org/I28777354"]},{"raw_affiliation_string":"Spatial Wireless Transmission Research Section Electronics and Telecommunications Research Institute,Daejeon,South Korea","institution_ids":["https://openalex.org/I142401562"]},{"raw_affiliation_string":"Spatial Wireless Transmission Research Section Electronics and Telecommunications Research Institute, Daejeon, South Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005722992","display_name":"Soyoung Yoo","orcid":"https://orcid.org/0000-0003-4129-9152"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Soyoung Yoo","raw_affiliation_strings":["Sejong University,Department of Artificial Intelligence,Seoul,South Korea","Department of Artificial Intelligence, Sejong University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Sejong University,Department of Artificial Intelligence,Seoul,South Korea","institution_ids":["https://openalex.org/I28777354"]},{"raw_affiliation_string":"Department of Artificial Intelligence, Sejong University, Seoul, South Korea","institution_ids":["https://openalex.org/I28777354"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100349755","display_name":"Junghyun Kim","orcid":"https://orcid.org/0000-0001-9424-3377"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]},{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Junghyun Kim","raw_affiliation_strings":["Sejong University,Department of Artificial Intelligence,Seoul,South Korea","Spatial Wireless Transmission Research Section Electronics and Telecommunications Research Institute,Daejeon,South Korea","Department of Artificial Intelligence, Sejong University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Sejong University,Department of Artificial Intelligence,Seoul,South Korea","institution_ids":["https://openalex.org/I28777354"]},{"raw_affiliation_string":"Spatial Wireless Transmission Research Section Electronics and Telecommunications Research Institute,Daejeon,South Korea","institution_ids":["https://openalex.org/I142401562"]},{"raw_affiliation_string":"Department of Artificial Intelligence, Sejong University, Seoul, South Korea","institution_ids":["https://openalex.org/I28777354"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5077417443"],"corresponding_institution_ids":["https://openalex.org/I142401562","https://openalex.org/I28777354"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07824056,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"613","last_page":"615"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9994000196456909,"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":0.9994000196456909,"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/T10752","display_name":"Terahertz technology and applications","score":0.9962000250816345,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8065826892852783},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.7188557982444763},{"id":"https://openalex.org/keywords/beam","display_name":"Beam (structure)","score":0.5368772745132446},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5155220031738281},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5070555210113525},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5030538439750671},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35418349504470825},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3517778515815735},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.35092997550964355},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32991331815719604},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1022164523601532}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8065826892852783},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.7188557982444763},{"id":"https://openalex.org/C168834538","wikidata":"https://www.wikidata.org/wiki/Q3705329","display_name":"Beam (structure)","level":2,"score":0.5368772745132446},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5155220031738281},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5070555210113525},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5030538439750671},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35418349504470825},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3517778515815735},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.35092997550964355},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32991331815719604},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1022164523601532},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","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},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icufn57995.2023.10200558","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icufn57995.2023.10200558","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Fourteenth International Conference on Ubiquitous and Future Networks (ICUFN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2072079297","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2734408173","https://openalex.org/W2905419086","https://openalex.org/W2920182427","https://openalex.org/W2955425717","https://openalex.org/W2963446712","https://openalex.org/W2987557329","https://openalex.org/W3022249012","https://openalex.org/W3088864784","https://openalex.org/W3104273276","https://openalex.org/W3118245008","https://openalex.org/W3184183363","https://openalex.org/W4297950357","https://openalex.org/W4312667604","https://openalex.org/W4316506382","https://openalex.org/W4378194956","https://openalex.org/W6684191040","https://openalex.org/W6762718338","https://openalex.org/W6802968523","https://openalex.org/W6843253841"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W4230611425","https://openalex.org/W2731899572","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W4383066092","https://openalex.org/W3215138031","https://openalex.org/W3000197790","https://openalex.org/W4390846322"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,27],"new":[4],"structure":[5],"called":[6],"CNN-PN-LSTM":[7],"to":[8,30],"improve":[9],"the":[10,43,46,50],"beam":[11,20],"prediction":[12,52],"performance":[13,53],"of":[14,45,54],"existing":[15],"deep":[16],"learning-based":[17],"calibrated":[18],"mmWave":[19],"training.":[21,39],"Unlike":[22],"previous":[23],"works,":[24],"we":[25],"utilized":[26],"parallel":[28,47],"network":[29,48],"effectively":[31],"extract":[32],"features":[33],"from":[34],"high-dimensional":[35],"signals":[36],"for":[37],"model":[38],"Simulation":[40],"results":[41],"show":[42],"effectiveness":[44],"and":[49],"superior":[51],"our":[55],"model.":[56]},"counts_by_year":[],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}