{"id":"https://openalex.org/W2976029885","doi":"https://doi.org/10.1109/infcomw.2019.8845280","title":"Self-Organizing Cellular Radio Access Network with Deep Learning","display_name":"Self-Organizing Cellular Radio Access Network with Deep Learning","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2976029885","doi":"https://doi.org/10.1109/infcomw.2019.8845280","mag":"2976029885"},"language":"en","primary_location":{"id":"doi:10.1109/infcomw.2019.8845280","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infcomw.2019.8845280","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","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/A5103021115","display_name":"Wuyang Zhang","orcid":"https://orcid.org/0009-0001-8068-0282"},"institutions":[{"id":"https://openalex.org/I4210096112","display_name":"Rutgers Sexual and Reproductive Health and Rights","ror":"https://ror.org/00rcvgx40","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210096112"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Wuyang Zhang","raw_affiliation_strings":["WINLAB, Rutgers University"],"affiliations":[{"raw_affiliation_string":"WINLAB, Rutgers University","institution_ids":["https://openalex.org/I4210096112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074008982","display_name":"Russell Ford","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]},{"id":"https://openalex.org/I4210133173","display_name":"Research!America (United States)","ror":"https://ror.org/044pgyv50","country_code":"US","type":"company","lineage":["https://openalex.org/I4210133173"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Russell Ford","raw_affiliation_strings":["Samsung Research America"],"affiliations":[{"raw_affiliation_string":"Samsung Research America","institution_ids":["https://openalex.org/I4210101778","https://openalex.org/I4210133173"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071193170","display_name":"Joonyoung Cho","orcid":"https://orcid.org/0000-0002-4515-7576"},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]},{"id":"https://openalex.org/I4210133173","display_name":"Research!America (United States)","ror":"https://ror.org/044pgyv50","country_code":"US","type":"company","lineage":["https://openalex.org/I4210133173"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joonyoung Cho","raw_affiliation_strings":["Samsung Research America"],"affiliations":[{"raw_affiliation_string":"Samsung Research America","institution_ids":["https://openalex.org/I4210101778","https://openalex.org/I4210133173"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080373263","display_name":"Charlie Jianzhong Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]},{"id":"https://openalex.org/I4210133173","display_name":"Research!America (United States)","ror":"https://ror.org/044pgyv50","country_code":"US","type":"company","lineage":["https://openalex.org/I4210133173"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Charlie Jianzhong Zhang","raw_affiliation_strings":["Samsung Research America"],"affiliations":[{"raw_affiliation_string":"Samsung Research America","institution_ids":["https://openalex.org/I4210101778","https://openalex.org/I4210133173"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103041851","display_name":"Yanyong Zhang","orcid":"https://orcid.org/0000-0001-9046-798X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanyong Zhang","raw_affiliation_strings":["University of Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029779582","display_name":"Dipankar Raychaudhuri","orcid":"https://orcid.org/0000-0002-0074-6908"},"institutions":[{"id":"https://openalex.org/I4210096112","display_name":"Rutgers Sexual and Reproductive Health and Rights","ror":"https://ror.org/00rcvgx40","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210096112"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Dipankar Raychaudhuri","raw_affiliation_strings":["WINLAB, Rutgers University"],"affiliations":[{"raw_affiliation_string":"WINLAB, Rutgers University","institution_ids":["https://openalex.org/I4210096112"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5103021115"],"corresponding_institution_ids":["https://openalex.org/I4210096112"],"apc_list":null,"apc_paid":null,"fwci":1.0611,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.79659066,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"429","last_page":"434"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9993000030517578,"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":0.9980999827384949,"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/T12079","display_name":"IoT Networks and Protocols","score":0.9936000108718872,"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":0.7724729776382446},{"id":"https://openalex.org/keywords/cellular-network","display_name":"Cellular network","score":0.6681185960769653},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6295253038406372},{"id":"https://openalex.org/keywords/umts-terrestrial-radio-access-network","display_name":"UMTS Terrestrial Radio Access Network","score":0.6137792468070984},{"id":"https://openalex.org/keywords/radio-access-network","display_name":"Radio access network","score":0.5689706802368164},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5662424564361572},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47462713718414307},{"id":"https://openalex.org/keywords/root-cause-analysis","display_name":"Root cause analysis","score":0.46308356523513794},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.4251275956630707},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3904667794704437},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.33769693970680237},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33268293738365173},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.2129422426223755},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11224159598350525},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.10372698307037354}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7724729776382446},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.6681185960769653},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6295253038406372},{"id":"https://openalex.org/C31304418","wikidata":"https://www.wikidata.org/wiki/Q283455","display_name":"UMTS Terrestrial Radio Access Network","level":5,"score":0.6137792468070984},{"id":"https://openalex.org/C106365562","wikidata":"https://www.wikidata.org/wiki/Q3078360","display_name":"Radio access network","level":4,"score":0.5689706802368164},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5662424564361572},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47462713718414307},{"id":"https://openalex.org/C130963320","wikidata":"https://www.wikidata.org/wiki/Q1401207","display_name":"Root cause analysis","level":2,"score":0.46308356523513794},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.4251275956630707},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3904667794704437},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.33769693970680237},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33268293738365173},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.2129422426223755},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11224159598350525},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.10372698307037354},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C207029474","wikidata":"https://www.wikidata.org/wiki/Q384018","display_name":"Mobile station","level":3,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infcomw.2019.8845280","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infcomw.2019.8845280","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1581984155","https://openalex.org/W1972645849","https://openalex.org/W2116261113","https://openalex.org/W2143612262","https://openalex.org/W2216268987","https://openalex.org/W2266096763","https://openalex.org/W2274079041","https://openalex.org/W2336136854","https://openalex.org/W2542459869","https://openalex.org/W2762817092","https://openalex.org/W2808862972","https://openalex.org/W2825030700","https://openalex.org/W2919115771","https://openalex.org/W2963641140","https://openalex.org/W6704571135"],"related_works":["https://openalex.org/W4229665537","https://openalex.org/W1590195873","https://openalex.org/W1499625095","https://openalex.org/W4243165928","https://openalex.org/W2347844234","https://openalex.org/W1573527848","https://openalex.org/W2349107697","https://openalex.org/W4206461488","https://openalex.org/W2740446451","https://openalex.org/W4230766124"],"abstract_inverted_index":{"Network":[0],"operators":[1],"require":[2],"a":[3,59,114],"high":[4,19,42],"level":[5],"of":[6,21,110,140],"performance":[7,49,106],"and":[8,33,41,50,82,88,93,102,133],"reliability":[9],"for":[10,23,37,136],"the":[11,90,104,123],"cellular":[12,61,117],"radio":[13,43,62],"access":[14,63],"network":[15,28,64,118,141],"(RAN)":[16],"to":[17],"deliver":[18],"quality":[20],"service":[22],"mobile":[24],"users.":[25],"However,":[26],"these":[27],"do":[29],"experience":[30],"some":[31],"rare":[32],"hard-to-predict":[34],"anomaly":[35,91],"events,":[36],"example,":[38],"hardware":[39],"failures":[40],"interference,":[44],"which":[45],"can":[46,126],"significantly":[47],"degrade":[48],"end-user":[51],"experience.":[52],"In":[53,84],"this":[54],"work,":[55],"we":[56,86],"propose":[57],"SORA,":[58],"self-organizing":[60],"system":[65,105],"enhanced":[66],"with":[67,98,107],"deep":[68,99],"learning.":[69],"SORA":[70],"involves":[71],"four":[72],"core":[73],"components:":[74],"self-KPIs":[75],"monitoring,":[76],"self-anomaly":[77],"prediction,":[78],"self-root":[79],"cause":[80,95,138],"analysis,":[81],"self-healing.":[83],"particular,":[85],"design":[87],"implement":[89],"prediction":[92],"root":[94,137],"analysis":[96,139],"components":[97],"learning":[100],"methods":[101,125],"evaluate":[103],"6":[108],"months":[109],"real-world":[111],"data":[112],"from":[113],"top-tier":[115],"US":[116],"operator.":[119],"We":[120],"demonstrate":[121],"that":[122],"proposed":[124],"achieve":[127],"86.9%":[128],"accuracy":[129,135],"in":[130],"predicting":[131],"anomalies":[132],"99.5%":[134],"faults.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}