{"id":"https://openalex.org/W7084048811","doi":"https://doi.org/10.1109/infocomwkshps65812.2025.11152803","title":"Gen-TWIN: Generative-AI-Enabled Digital Twin for Open Radio Access Networks","display_name":"Gen-TWIN: Generative-AI-Enabled Digital Twin for Open Radio Access Networks","publication_year":2025,"publication_date":"2025-05-19","ids":{"openalex":"https://openalex.org/W7084048811","doi":"https://doi.org/10.1109/infocomwkshps65812.2025.11152803"},"language":"en","primary_location":{"id":"doi:10.1109/infocomwkshps65812.2025.11152803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocomwkshps65812.2025.11152803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2025 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","raw_type":"proceedings-article"},"type":"conference-paper","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":null,"display_name":"Osman Tugay Basaran","orcid":null},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Osman Tugay Basaran","raw_affiliation_strings":["TU Berlin,School of Electrical Engineering and Computer Science,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Berlin,School of Electrical Engineering and Computer Science,Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Davide Villa","orcid":null},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Davide Villa","raw_affiliation_strings":["Northeastern University,Institute for the Wireless Internet of Things,Boston,MA,U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University,Institute for the Wireless Internet of Things,Boston,MA,U.S.A","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Pedram Johari","orcid":null},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pedram Johari","raw_affiliation_strings":["Northeastern University,Institute for the Wireless Internet of Things,Boston,MA,U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University,Institute for the Wireless Internet of Things,Boston,MA,U.S.A","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Michele Polese","orcid":null},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michele Polese","raw_affiliation_strings":["Northeastern University,Institute for the Wireless Internet of Things,Boston,MA,U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University,Institute for the Wireless Internet of Things,Boston,MA,U.S.A","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Claudio Fiandrino","orcid":null},"institutions":[{"id":"https://openalex.org/I2802499160","display_name":"IMDEA Networks","ror":"https://ror.org/04mm9fg30","country_code":"ES","type":"facility","lineage":["https://openalex.org/I105140100","https://openalex.org/I2802499160"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Claudio Fiandrino","raw_affiliation_strings":["IMDEA Networks Institute,Madrid,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IMDEA Networks Institute,Madrid,Spain","institution_ids":["https://openalex.org/I2802499160"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Falko Dressler","orcid":null},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Falko Dressler","raw_affiliation_strings":["TU Berlin,School of Electrical Engineering and Computer Science,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Berlin,School of Electrical Engineering and Computer Science,Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"last","author":{"id":null,"display_name":"Tommaso Melodia","orcid":null},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tommaso Melodia","raw_affiliation_strings":["Northeastern University,Institute for the Wireless Internet of Things,Boston,MA,U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University,Institute for the Wireless Internet of Things,Boston,MA,U.S.A","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":21.969,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.98984772,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T14286","display_name":"Parkinson's Disease and Spinal Disorders","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T14286","display_name":"Parkinson's Disease and Spinal Disorders","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10919","display_name":"Neurological disorders and treatments","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11274","display_name":"Botulinum Toxin and Related Neurological Disorders","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.515999972820282},{"id":"https://openalex.org/keywords/realization","display_name":"Realization (probability)","score":0.44350001215934753},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.3734000027179718},{"id":"https://openalex.org/keywords/data-access","display_name":"Data access","score":0.364300012588501},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.35499998927116394},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.3425999879837036},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.34150001406669617},{"id":"https://openalex.org/keywords/data-transmission","display_name":"Data transmission","score":0.31859999895095825},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3149000108242035}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.718999981880188},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.515999972820282},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4505999982357025},{"id":"https://openalex.org/C2781089630","wikidata":"https://www.wikidata.org/wiki/Q21856745","display_name":"Realization (probability)","level":2,"score":0.44350001215934753},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4041000008583069},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.37929999828338623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3785000145435333},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.3734000027179718},{"id":"https://openalex.org/C47487241","wikidata":"https://www.wikidata.org/wiki/Q5227230","display_name":"Data access","level":2,"score":0.364300012588501},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.35499998927116394},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35339999198913574},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.3425999879837036},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.34150001406669617},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.31859999895095825},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3149000108242035},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.30660000443458557},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2833000123500824},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.2831999957561493},{"id":"https://openalex.org/C133199616","wikidata":"https://www.wikidata.org/wiki/Q25386885","display_name":"Empirical modelling","level":2,"score":0.27570000290870667},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.27379998564720154},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.2736999988555908},{"id":"https://openalex.org/C106365562","wikidata":"https://www.wikidata.org/wiki/Q3078360","display_name":"Radio access network","level":4,"score":0.27239999175071716},{"id":"https://openalex.org/C62793504","wikidata":"https://www.wikidata.org/wiki/Q228327","display_name":"Access network","level":2,"score":0.2709999978542328},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.2635999917984009},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.26269999146461487},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.26100000739097595},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.25380000472068787},{"id":"https://openalex.org/C203274722","wikidata":"https://www.wikidata.org/wiki/Q7001161","display_name":"Network performance","level":2,"score":0.2526000142097473},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.2517000138759613}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocomwkshps65812.2025.11152803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocomwkshps65812.2025.11152803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2025 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332176","display_name":"National Telecommunications and Information Administration","ror":"https://ror.org/04chq2495"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W3090837129","https://openalex.org/W3096831136","https://openalex.org/W3130503957","https://openalex.org/W3175768200","https://openalex.org/W3207330630","https://openalex.org/W4206740920","https://openalex.org/W4296913260","https://openalex.org/W4307330863","https://openalex.org/W4308839864","https://openalex.org/W4380303648","https://openalex.org/W4389104915","https://openalex.org/W4391305428","https://openalex.org/W4399728822","https://openalex.org/W4400111243"],"related_works":[],"abstract_inverted_index":{"The":[0],"realization":[1],"of":[2,11,21],"efficient":[3],"Artificial":[4],"Intelligence":[5],"(AI)":[6],"solutions":[7],"for":[8,95],"the":[9,19,90],"optimization":[10],"next-generation":[12],"Radio":[13],"Access":[14],"Network":[15],"(RAN)":[16],"relies":[17],"on":[18,100],"availability":[20],"expansive,":[22],"high-quality":[23],"datasets":[24,82],"that":[25,105],"accurately":[26],"capture":[27],"nuanced,":[28],"site-specific":[29],"conditions.":[30],"However,":[31],"obtaining":[32],"such":[33],"abundant,":[34],"domain-specific":[35],"measurements":[36],"poses":[37],"a":[38,60,67],"significant":[39],"challenge,":[40],"especially":[41],"as":[42],"network":[43,72],"complexity":[44],"and":[45,79,88],"energy":[46],"efficiency":[47],"demand":[48],"surge":[49],"toward":[50],"6G.":[51],"In":[52],"response,":[53],"we":[54],"introduce":[55],"GenerativeAI-enabled":[56],"Digital":[57],"Twin":[58],"(Gen-TWIN),":[59],"synthetic":[61,91],"data":[62,92],"generation":[63],"framework":[64],"underpinned":[65],"by":[66,83],"soft-attention":[68],"LSTM-based":[69],"generative":[70],"adversarial":[71],"(soft-GAN).":[73],"Our":[74],"model":[75],"augments":[76],"realistic":[77],"transmitter":[78],"receiver-focused":[80],"RF":[81],"supplementing":[84],"scarce":[85],"empirical":[86],"samples":[87],"providing":[89],"volumes":[93],"essential":[94],"training":[96],"advanced":[97],"AI":[98],"models":[99],"RAN.":[101],"Accuracy":[102],"results":[103],"show":[104],"soft-GAN":[106],"provided":[107],"19%":[108],"performance":[109],"improvement":[110],"compared":[111],"to":[112],"baseline":[113],"models.":[114]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}