{"id":"https://openalex.org/W2517842164","doi":"https://doi.org/10.1155/2016/3489193","title":"Multivariate Multiple Regression Models for a Big Data-Empowered SON Framework in Mobile Wireless Networks","display_name":"Multivariate Multiple Regression Models for a Big Data-Empowered SON Framework in Mobile Wireless Networks","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2517842164","doi":"https://doi.org/10.1155/2016/3489193","mag":"2517842164"},"language":"en","primary_location":{"id":"doi:10.1155/2016/3489193","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2016/3489193","pdf_url":"http://downloads.hindawi.com/journals/misy/2016/3489193.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"http://downloads.hindawi.com/journals/misy/2016/3489193.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049444509","display_name":"Yoonsu Shin","orcid":"https://orcid.org/0000-0002-2874-1893"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yoonsu Shin","raw_affiliation_strings":["School of Integrated Technology, Yonsei Institute of Convergence Technology, Yonsei University, Incheon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Integrated Technology, Yonsei Institute of Convergence Technology, Yonsei University, Incheon, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079863632","display_name":"Chan\u2010Byoung Chae","orcid":"https://orcid.org/0000-0001-9561-3341"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chan-Byoung Chae","raw_affiliation_strings":["School of Integrated Technology, Yonsei Institute of Convergence Technology, Yonsei University, Incheon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Integrated Technology, Yonsei Institute of Convergence Technology, Yonsei University, Incheon, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075315705","display_name":"Songkuk Kim","orcid":"https://orcid.org/0000-0003-4147-4627"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Songkuk Kim","raw_affiliation_strings":["School of Integrated Technology, Yonsei Institute of Convergence Technology, Yonsei University, Incheon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Integrated Technology, Yonsei Institute of Convergence Technology, Yonsei University, Incheon, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5075315705"],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":0.1863,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58314887,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2016","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9966999888420105,"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":0.9966999888420105,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8210583925247192},{"id":"https://openalex.org/keywords/performance-indicator","display_name":"Performance indicator","score":0.8080117702484131},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.6261913776397705},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5469983220100403},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5458375811576843},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.5387137532234192},{"id":"https://openalex.org/keywords/cellular-network","display_name":"Cellular network","score":0.46653395891189575},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.43567854166030884},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42938894033432007},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.42785096168518066},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4120589792728424},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.3709200620651245},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3484576344490051},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13948911428451538}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8210583925247192},{"id":"https://openalex.org/C135510737","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance indicator","level":2,"score":0.8080117702484131},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.6261913776397705},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5469983220100403},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5458375811576843},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.5387137532234192},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.46653395891189575},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.43567854166030884},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42938894033432007},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.42785096168518066},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4120589792728424},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.3709200620651245},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3484576344490051},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13948911428451538},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2016/3489193","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2016/3489193","pdf_url":"http://downloads.hindawi.com/journals/misy/2016/3489193.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0c2ac3e0825e4a07a5466a041cda6433","is_oa":true,"landing_page_url":"https://doaj.org/article/0c2ac3e0825e4a07a5466a041cda6433","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mobile Information Systems, Vol 2016 (2016)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2016/3489193","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2016/3489193","pdf_url":"http://downloads.hindawi.com/journals/misy/2016/3489193.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6090636118","display_name":null,"funder_award_id":"IITP-2015-R0346-15-1008","funder_id":"https://openalex.org/F4320322030","funder_display_name":"Ministry of Science, ICT and Future Planning"},{"id":"https://openalex.org/G6137286139","display_name":null,"funder_award_id":"B0126-15-1017","funder_id":"https://openalex.org/F4320322030","funder_display_name":"Ministry of Science, ICT and Future Planning"},{"id":"https://openalex.org/G8247537673","display_name":null,"funder_award_id":"IITP-2015-R0346-15-1008","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"}],"funders":[{"id":"https://openalex.org/F4320322030","display_name":"Ministry of Science, ICT and Future Planning","ror":"https://ror.org/032e49973"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2517842164.pdf","grobid_xml":"https://content.openalex.org/works/W2517842164.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W585037961","https://openalex.org/W2052842899","https://openalex.org/W2130305366","https://openalex.org/W2151854870","https://openalex.org/W2160160578","https://openalex.org/W2173213060","https://openalex.org/W2234616116","https://openalex.org/W4233548378"],"related_works":["https://openalex.org/W1968523686","https://openalex.org/W4390608645","https://openalex.org/W4405901645","https://openalex.org/W298893735","https://openalex.org/W4394895745","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2199291344","https://openalex.org/W2497432351"],"abstract_inverted_index":{"In":[0,137],"the":[1,4,51,75,107,111,115,120,127,152,170,195],"5G":[2,52],"era,":[3],"operational":[5],"cost":[6],"of":[7,42,69,109],"mobile":[8,30,43],"wireless":[9,44],"networks":[10,34],"will":[11,21,26],"significantly":[12],"increase.":[13],"Further,":[14],"massive":[15],"network":[16,84],"capacity":[17],"and":[18,82,90,132,157,164],"zero":[19],"latency":[20],"be":[22,27],"needed":[23],"because":[24],"everything":[25],"connected":[28],"to":[29,49,60,114,140,150],"networks.":[31],"Thus,":[32],"self-organizing":[33],"(SON)":[35],"are":[36,189],"needed,":[37],"which":[38],"expedite":[39],"automatic":[40],"operation":[41],"networks,":[45],"but":[46],"have":[47,56],"challenges":[48],"satisfy":[50],"requirements.":[53],"Therefore,":[54],"researchers":[55],"proposed":[57,145,171,196],"a":[58,70,96,130],"framework":[59,68],"empower":[61],"SON":[62,73],"using":[63,87,95,198],"big":[64,71],"data.":[65],"The":[66,102],"recent":[67],"data-empowered":[72],"analyzes":[74],"relationship":[76,128,153],"between":[77,129,154],"key":[78],"performance":[79],"indicators":[80],"(KPIs)":[81],"related":[83,113,135],"parameters":[85],"(NPs)":[86],"machine-learning":[88],"tools,":[89],"it":[91],"develops":[92],"regression":[93,123,148],"models":[94,149,172,197],"Gaussian":[97,121],"process":[98,122,175],"with":[99],"those":[100],"parameters.":[101],"problem,":[103],"however,":[104],"is":[105],"that":[106],"methods":[108],"finding":[110],"NPs":[112,166],"KPIs":[116,156,188],"differ":[117],"individually.":[118],"Moreover,":[119],"model":[124],"cannot":[125],"determine":[126,151],"KPI":[131,163],"its":[133],"various":[134,155],"NPs.":[136,158],"this":[138],"paper,":[139],"solve":[141],"these":[142],"problems,":[143],"we":[144,160,182],"multivariate":[146],"multiple":[147,165,176],"If":[159],"assume":[161],"one":[162,168,179],"as":[167],"set,":[169],"help":[173],"us":[174],"sets":[177],"at":[178],"time.":[180],"Also,":[181],"can":[183],"find":[184],"out":[185],"whether":[186],"some":[187],"conflicting":[190],"or":[191],"not.":[192],"We":[193],"implement":[194],"MapReduce.":[199]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-14T08:43:22.919905","created_date":"2025-10-10T00:00:00"}