{"id":"https://openalex.org/W4400277602","doi":"https://doi.org/10.1109/icoin59985.2024.10572129","title":"Proactive Network Traffic Prediction using Generative Adversarial Network","display_name":"Proactive Network Traffic Prediction using Generative Adversarial Network","publication_year":2024,"publication_date":"2024-01-17","ids":{"openalex":"https://openalex.org/W4400277602","doi":"https://doi.org/10.1109/icoin59985.2024.10572129"},"language":"en","primary_location":{"id":"doi:10.1109/icoin59985.2024.10572129","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icoin59985.2024.10572129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Information Networking (ICOIN)","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/A5036798074","display_name":"Gyurin Byun","orcid":"https://orcid.org/0009-0005-6683-4950"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Gyurin Byun","raw_affiliation_strings":["Sungkyunkwan University,Dept. of AI Systems Engineering,Suwon,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University,Dept. of AI Systems Engineering,Suwon,South Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064364414","display_name":"Van-Vi Vo","orcid":"https://orcid.org/0000-0002-5745-4164"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Van-Vi Vo","raw_affiliation_strings":["Sungkyunkwan University,Convergence Research Institute,Suwon,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University,Convergence Research Institute,Suwon,South Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022697983","display_name":"Syed M. Raza","orcid":"https://orcid.org/0000-0001-6580-3232"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Syed M. Raza","raw_affiliation_strings":["Sungkyunkwan University,Dept. of Electrical and Computer Engineering,Suwon,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University,Dept. of Electrical and Computer Engineering,Suwon,South Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041230893","display_name":"Duc-Tai Le","orcid":"https://orcid.org/0000-0002-5286-6629"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Duc-Tai Le","raw_affiliation_strings":["Sungkyunkwan University,College of Computing and Informatics,Suwon,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University,College of Computing and Informatics,Suwon,South Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043279690","display_name":"Huigyu Yang","orcid":"https://orcid.org/0000-0002-2409-166X"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Huigyu Yang","raw_affiliation_strings":["Sungkyunkwan University,Dept. of Superintelligence Engineering,Suwon,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University,Dept. of Superintelligence Engineering,Suwon,South Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080942297","display_name":"Hyunseung Choo","orcid":null},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyunseung Choo","raw_affiliation_strings":["Sungkyunkwan University,Dept. of AI Systems Engineering,Suwon,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University,Dept. of AI Systems Engineering,Suwon,South Korea","institution_ids":["https://openalex.org/I848706"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5036798074"],"corresponding_institution_ids":["https://openalex.org/I848706"],"apc_list":null,"apc_paid":null,"fwci":1.7409,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.82759683,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"156","last_page":"159"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9509999752044678,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9509999752044678,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/adversarial-system","display_name":"Adversarial system","score":0.8100899457931519},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7316272854804993},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.695092499256134},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.6792636513710022},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5128098130226135},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36653971672058105},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33390992879867554},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.2229878306388855}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8100899457931519},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7316272854804993},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.695092499256134},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.6792636513710022},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5128098130226135},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36653971672058105},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33390992879867554},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2229878306388855}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icoin59985.2024.10572129","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icoin59985.2024.10572129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Information Networking (ICOIN)","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":9,"referenced_works":["https://openalex.org/W1947481528","https://openalex.org/W1980972912","https://openalex.org/W2639113846","https://openalex.org/W2896827527","https://openalex.org/W2912614123","https://openalex.org/W2994169213","https://openalex.org/W2999905431","https://openalex.org/W3059813204","https://openalex.org/W3200247731"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2888032422","https://openalex.org/W3156763702","https://openalex.org/W4385421777","https://openalex.org/W4377980832","https://openalex.org/W2897769091","https://openalex.org/W2845413374","https://openalex.org/W3005996785","https://openalex.org/W4297411772","https://openalex.org/W4235873501"],"abstract_inverted_index":{"Proactive":[0],"traffic":[1,42,94,126],"management":[2],"in":[3,40,138,143,155],"5G":[4,156],"networks":[5],"is":[6],"crucial":[7],"for":[8,80,127],"optimizing":[9],"network":[10,41,103,110,125,140],"efficiency,":[11],"ensuring":[12],"quality":[13],"of":[14,61],"service,":[15],"adapting":[16],"to":[17,44,76,101],"dynamic":[18,102],"conditions,":[19],"and":[20,151],"enhancing":[21],"the":[22,59,62,67,82,116,128,145],"user":[23],"experience.":[24],"In":[25],"this":[26],"paper,":[27],"we":[28],"propose":[29],"a":[30,51,70,135],"Generative":[31],"Adversarial":[32],"Network":[33,73],"(GAN)":[34],"architecture":[35],"that":[36,87],"leverages":[37],"spatiotemporal":[38],"features":[39],"data":[43],"predict":[45],"future":[46,93],"traffic.":[47],"Our":[48],"approach":[49],"incorporates":[50],"Convolutional":[52,71],"Long":[53],"Short-Term":[54],"Memory":[55],"(ConvLSTM)":[56],"model":[57,89,113],"within":[58],"generator":[60],"GAN,":[63],"which":[64],"collaborates":[65],"with":[66,95],"discriminator,":[68],"utilizing":[69],"Neural":[72],"(CNN)":[74],"model,":[75],"provide":[77],"essential":[78],"feedback":[79],"training":[81],"generator.":[83],"This":[84],"integration":[85],"ensures":[86],"our":[88,112],"not":[90],"only":[91],"predicts":[92],"improved":[96],"accuracy":[97],"but":[98],"also":[99],"adapts":[100],"conditions.":[104],"Based":[105],"on":[106],"experimental":[107],"results":[108],"using":[109],"traces,":[111],"significantly":[114],"outperforms":[115],"baseline,":[117],"reducing":[118],"prediction":[119],"error":[120],"by":[121,148],"12%":[122],"while":[123],"forecasting":[124],"next":[129],"1":[130],"minute.":[131],"These":[132],"findings":[133],"represent":[134],"significant":[136],"advancement":[137],"proactive":[139],"management,":[141],"particularly":[142],"addressing":[144],"challenges":[146],"posed":[147],"real-time":[149],"streaming":[150],"other":[152],"latency-sensitive":[153],"applications":[154],"networks.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}