{"id":"https://openalex.org/W4414538720","doi":"https://doi.org/10.1109/icc52391.2025.11162038","title":"Network GDT: GenAI Based Digital Twin for Automated Network Performance Evaluation","display_name":"Network GDT: GenAI Based Digital Twin for Automated Network Performance Evaluation","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W4414538720","doi":"https://doi.org/10.1109/icc52391.2025.11162038"},"language":"en","primary_location":{"id":"doi:10.1109/icc52391.2025.11162038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11162038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","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/A5058719466","display_name":"Sukhdeep Singh","orcid":"https://orcid.org/0000-0001-6871-4294"},"institutions":[{"id":"https://openalex.org/I4210139030","display_name":"Samsung (India)","ror":"https://ror.org/04cpx2569","country_code":"IN","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210139030"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sukhdeep Singh","raw_affiliation_strings":["Samsung R&#x0026;D India,Bangalore,India"],"affiliations":[{"raw_affiliation_string":"Samsung R&#x0026;D India,Bangalore,India","institution_ids":["https://openalex.org/I4210139030"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014172274","display_name":"Swaraj Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210139030","display_name":"Samsung (India)","ror":"https://ror.org/04cpx2569","country_code":"IN","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210139030"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Swaraj Kumar","raw_affiliation_strings":["Samsung R&#x0026;D India,Bangalore,India"],"affiliations":[{"raw_affiliation_string":"Samsung R&#x0026;D India,Bangalore,India","institution_ids":["https://openalex.org/I4210139030"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113364172","display_name":"Peter Moonki Hong","orcid":null},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Peter Moonki Hong","raw_affiliation_strings":["Samsung Research,Seoul,South Korea"],"affiliations":[{"raw_affiliation_string":"Samsung Research,Seoul,South Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100752387","display_name":"Ashish Jain","orcid":"https://orcid.org/0000-0003-1010-0294"},"institutions":[{"id":"https://openalex.org/I4210139030","display_name":"Samsung (India)","ror":"https://ror.org/04cpx2569","country_code":"IN","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210139030"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ashish Jain","raw_affiliation_strings":["Samsung R&#x0026;D India,Bangalore,India"],"affiliations":[{"raw_affiliation_string":"Samsung R&#x0026;D India,Bangalore,India","institution_ids":["https://openalex.org/I4210139030"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017241422","display_name":"Madhan Raj Kanagarathinam","orcid":"https://orcid.org/0000-0002-1167-7389"},"institutions":[{"id":"https://openalex.org/I4210139030","display_name":"Samsung (India)","ror":"https://ror.org/04cpx2569","country_code":"IN","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210139030"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Madhan Raj Kanagarathinam","raw_affiliation_strings":["Samsung R&#x0026;D India,Bangalore,India"],"affiliations":[{"raw_affiliation_string":"Samsung R&#x0026;D India,Bangalore,India","institution_ids":["https://openalex.org/I4210139030"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087560555","display_name":"Krishna M. Sivalingam","orcid":"https://orcid.org/0000-0001-8425-3432"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Krishna M. Sivalingam","raw_affiliation_strings":["Indian Institute of Technology Madras"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Madras","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083664490","display_name":"Hemant Kumar Narsani","orcid":"https://orcid.org/0009-0006-0152-6815"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hemant Kumar Narsani","raw_affiliation_strings":["George Mason University,USA"],"affiliations":[{"raw_affiliation_string":"George Mason University,USA","institution_ids":["https://openalex.org/I162714631"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5058719466"],"corresponding_institution_ids":["https://openalex.org/I4210139030"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38775841,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2150","last_page":"2155"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10763","display_name":"Digital Transformation in Industry","score":0.9736999869346619,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T10763","display_name":"Digital Transformation in Industry","score":0.9736999869346619,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/robustness","display_name":"Robustness (evolution)","score":0.697700023651123},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6355999708175659},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.46709999442100525},{"id":"https://openalex.org/keywords/network-performance","display_name":"Network performance","score":0.46000000834465027},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.41850000619888306},{"id":"https://openalex.org/keywords/network-simulation","display_name":"Network simulation","score":0.3950999975204468},{"id":"https://openalex.org/keywords/network-congestion","display_name":"Network congestion","score":0.36419999599456787},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.3587000072002411},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.3481000065803528}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7204999923706055},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.697700023651123},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6355999708175659},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4717999994754791},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.46709999442100525},{"id":"https://openalex.org/C203274722","wikidata":"https://www.wikidata.org/wiki/Q7001161","display_name":"Network performance","level":2,"score":0.46000000834465027},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.41850000619888306},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4065999984741211},{"id":"https://openalex.org/C139940560","wikidata":"https://www.wikidata.org/wiki/Q290036","display_name":"Network simulation","level":2,"score":0.3950999975204468},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.36730000376701355},{"id":"https://openalex.org/C195563490","wikidata":"https://www.wikidata.org/wiki/Q180368","display_name":"Network congestion","level":3,"score":0.36419999599456787},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3587000072002411},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.3481000065803528},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.335099995136261},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.33250001072883606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3043999969959259},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.29980000853538513},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.296099990606308},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2953999936580658},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.2928999960422516},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2806999981403351},{"id":"https://openalex.org/C140781008","wikidata":"https://www.wikidata.org/wiki/Q1221081","display_name":"Service quality","level":3,"score":0.27390000224113464},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.27300000190734863},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.26820001006126404},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.2637999951839447},{"id":"https://openalex.org/C13540734","wikidata":"https://www.wikidata.org/wiki/Q5318996","display_name":"Dynamic network analysis","level":2,"score":0.26109999418258667},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.25619998574256897},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc52391.2025.11162038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11162038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2963073614","https://openalex.org/W4396680643"],"related_works":[],"abstract_inverted_index":{"This":[0,72,158],"paper":[1],"proposes":[2],"a":[3,32,54,161],"Generative":[4,34],"AI-based":[5,140],"Digital":[6,56],"Twin":[7,57],"(GDT)":[8],"platform":[9,23],"for":[10,17,63,123,166,173],"automated":[11],"network":[12,40,70,115],"feature":[13],"performance":[14,41,67,106],"evaluation,":[15],"designed":[16],"Beyond":[18],"5G":[19],"(B5G)":[20],"networks.":[21],"The":[22,50,97,134],"addresses":[24],"the":[25,76,128,131,171],"inefficiencies":[26],"of":[27,69,89,94,130],"manual":[28,82],"evaluation":[29,68],"by":[30],"utilizing":[31],"conditional":[33],"Adversarial":[35],"Network":[36,51],"(cGAN)":[37],"to":[38],"simulate":[39],"based":[42],"on":[43],"historical":[44],"data":[45],"and":[46,66,78,86,92,108,155,163,176],"new":[47],"AI/ML":[48],"features.":[49,71],"GDT":[52],"integrates":[53],"novel":[55],"Augmenting":[58],"Condition":[59],"(DTAC)":[60],"framework,":[61],"allowing":[62],"real-time":[64],"simulation":[65],"system":[73],"significantly":[74],"reduces":[75],"time":[77],"cost":[79],"associated":[80],"with":[81],"evaluations,":[83],"improves":[84],"decision-making,":[85],"optimizes":[87],"Quality":[88,93],"Service":[90],"(QoS)":[91],"Experience":[95],"(QoE).":[96],"cGAN-based":[98],"model":[99],"dynamically":[100],"generates":[101],"synthetic":[102],"data,":[103],"enabling":[104],"comprehensive":[105],"insights":[107],"proactive":[109],"AI":[110],"solution":[111,165],"testing":[112],"under":[113],"various":[114],"scenarios.":[116],"Experimental":[117],"results":[118],"demonstrate":[119],"high":[120],"prediction":[121],"accuracy":[122],"congestion":[124],"use":[125],"case,":[126],"validating":[127],"robustness":[129],"proposed":[132],"system.":[133],"platform's":[135],"dual-phase":[136],"strategy":[137],"ensures":[138],"that":[139],"solutions":[141],"are":[142],"rigorously":[143],"tested":[144],"in":[145,150],"simulated":[146],"environments":[147],"before":[148],"deployment":[149],"real":[151],"networks,":[152,169],"minimizing":[153],"risks":[154],"enhancing":[156],"stability.":[157],"approach":[159],"provides":[160],"scalable":[162],"efficient":[164],"future":[167],"B5G":[168],"paving":[170],"way":[172],"more":[174],"reliable":[175],"optimized":[177],"wireless":[178],"communication":[179],"systems.":[180]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}
