{"id":"https://openalex.org/W2951051330","doi":"https://doi.org/10.1109/tvt.2019.2923314","title":"Machine Learning Inspired Codeword Selection For Dual Connectivity in 5G User-Centric Ultra-Dense Networks","display_name":"Machine Learning Inspired Codeword Selection For Dual Connectivity in 5G User-Centric Ultra-Dense Networks","publication_year":2019,"publication_date":"2019-06-17","ids":{"openalex":"https://openalex.org/W2951051330","doi":"https://doi.org/10.1109/tvt.2019.2923314","mag":"2951051330"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2019.2923314","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2019.2923314","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","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/A5100397704","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0002-9817-3473"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Yang","raw_affiliation_strings":["Center of Data Science, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center of Data Science, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102742641","display_name":"Xinyi Deng","orcid":"https://orcid.org/0000-0001-8227-5371"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyi Deng","raw_affiliation_strings":["Center of Data Science, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8227-5371","affiliations":[{"raw_affiliation_string":"Center of Data Science, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089941053","display_name":"Dazhong He","orcid":"https://orcid.org/0000-0002-1895-0122"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dazhong He","raw_affiliation_strings":["Center of Data Science, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1895-0122","affiliations":[{"raw_affiliation_string":"Center of Data Science, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008579555","display_name":"Yanan You","orcid":"https://orcid.org/0000-0001-6473-9187"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanan You","raw_affiliation_strings":["Center of Data Science, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6473-9187","affiliations":[{"raw_affiliation_string":"Center of Data Science, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044855132","display_name":"Ruoning Song","orcid":"https://orcid.org/0000-0003-2091-796X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruoning Song","raw_affiliation_strings":["Center of Data Science, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center of Data Science, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100397704"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":1.816,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.85599311,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"68","issue":"8","first_page":"8284","last_page":"8288"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9994999766349792,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9994999766349792,"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9987999796867371,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9947999715805054,"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":0.7319597005844116},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.628045916557312},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5076929330825806},{"id":"https://openalex.org/keywords/cellular-network","display_name":"Cellular network","score":0.4922586977481842},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.47028517723083496},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.45737671852111816},{"id":"https://openalex.org/keywords/spectral-efficiency","display_name":"Spectral efficiency","score":0.4561443030834198},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.42142927646636963},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4203597903251648},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.39260903000831604},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09356537461280823}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7319597005844116},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.628045916557312},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5076929330825806},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.4922586977481842},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.47028517723083496},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.45737671852111816},{"id":"https://openalex.org/C137246740","wikidata":"https://www.wikidata.org/wiki/Q583970","display_name":"Spectral efficiency","level":3,"score":0.4561443030834198},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.42142927646636963},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4203597903251648},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.39260903000831604},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09356537461280823}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2019.2923314","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2019.2923314","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4244184730","display_name":null,"funder_award_id":"L182024","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G7549766626","display_name":null,"funder_award_id":"61801035","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/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W631335369","https://openalex.org/W1487762291","https://openalex.org/W2145214215","https://openalex.org/W2164641162","https://openalex.org/W2614864174","https://openalex.org/W2789656064","https://openalex.org/W2793659230","https://openalex.org/W2797986756","https://openalex.org/W2898822267","https://openalex.org/W2909191390","https://openalex.org/W2916238263","https://openalex.org/W2963190722","https://openalex.org/W2963653493","https://openalex.org/W3105650387","https://openalex.org/W3106467023","https://openalex.org/W4250589301","https://openalex.org/W6683984541"],"related_works":["https://openalex.org/W1989270073","https://openalex.org/W2325429773","https://openalex.org/W3020945552","https://openalex.org/W2083012845","https://openalex.org/W2961168271","https://openalex.org/W2914664440","https://openalex.org/W2794919824","https://openalex.org/W2914608047","https://openalex.org/W2094882193","https://openalex.org/W2885219943"],"abstract_inverted_index":{"In":[0,209],"future":[1],"5G":[2],"user-centric":[3],"ultra-dense":[4],"networks":[5],"(UUDN),":[6],"demands":[7],"of":[8,29,72,81,139,169],"high":[9,13],"data":[10],"rate":[11,118],"and":[12,33,44,49,174,182],"spectrum":[14],"efficiency":[15],"are":[16,110,176,186],"effectively":[17],"met":[18],"by":[19,83,93,124,188,222],"dual":[20],"connectivity":[21],"(DC)":[22],"technology.":[23],"However,":[24],"due":[25],"to":[26,42,52,64,113,135,163],"huge":[27],"increase":[28],"base":[30],"stations":[31],"(BSs)":[32],"mobile":[34],"users":[35],"(MUs),":[36],"it":[37],"becomes":[38],"difficult":[39],"for":[40,148],"BSs":[41,82],"quickly":[43],"precisely":[45],"select":[46,136],"the":[47,66,70,78,97,108,115,137,172,203,211,223],"codeword":[48],"provide":[50],"DC":[51],"MUs.":[53],"Hence,":[54],"different":[55],"from":[56],"some":[57],"traditional":[58,204],"methods,":[59],"this":[60],"correspondence":[61],"paper":[62],"aims":[63],"improve":[65],"network":[67],"performance":[68,168],"using":[69],"method":[71],"machine":[73,132],"learning.":[74],"First,":[75],"we":[76,126],"model":[77],"random":[79],"distribution":[80],"homogeneous":[84],"Poisson":[85],"point":[86],"processes,":[87],"where":[88,171],"each":[89],"MU":[90,109],"is":[91,161],"served":[92],"millimeter-wave":[94],"channel.":[95],"Second,":[96],"probabilities":[98],"that":[99,194],"macro":[100],"cell":[101,105],"BS":[102,106],"or":[103],"small":[104],"serves":[107],"further":[111],"derived":[112],"get":[114],"average":[116],"sum":[117],"(ASR)":[119],"in":[120,153],"UUDN.":[121,154],"Third,":[122],"inspired":[123],"ML,":[125],"utilize":[127],"an":[128,156],"iterative":[129,157],"support":[130],"vector":[131],"(SVM)":[133],"classifier":[134],"codewords":[138],"BSs,":[140],"with":[141],"sequential":[142],"minimal":[143],"optimization":[144],"(SMO)":[145],"algorithm":[146,160,197,225],"used":[147],"training":[149,181],"all":[150],"link":[151],"samples":[152],"Then,":[155],"SVM-SMO":[158],"classification":[159],"proposed":[162,196,224],"achieve":[164],"a":[165,199,215],"highly":[166],"efficient":[167],"DC,":[170],"convergence":[173],"complexity":[175,218],"also":[177,213],"discussed.":[178],"The":[179,191],"sample":[180],"simulation":[183,192],"at":[184],"last":[185],"evaluated":[187],"Google":[189],"TensorFlow.":[190],"verified":[193],"our":[195],"gets":[198],"higher":[200],"ASR":[201],"than":[202],"channel":[205],"estimation":[206],"based":[207],"algorithm.":[208],"addition,":[210],"results":[212],"show":[214],"lower":[216],"computational":[217],"can":[219],"be":[220],"achieved":[221],"as":[226],"well.":[227]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
