{"id":"https://openalex.org/W4401509334","doi":"https://doi.org/10.1109/iccworkshops59551.2024.10615690","title":"Meta-Learning Traffic Pattern Adaptation for DRL-Based Radio Resource Management","display_name":"Meta-Learning Traffic Pattern Adaptation for DRL-Based Radio Resource Management","publication_year":2024,"publication_date":"2024-06-09","ids":{"openalex":"https://openalex.org/W4401509334","doi":"https://doi.org/10.1109/iccworkshops59551.2024.10615690"},"language":"en","primary_location":{"id":"doi:10.1109/iccworkshops59551.2024.10615690","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iccworkshops59551.2024.10615690","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Communications Workshops (ICC Workshops)","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/A5101361764","display_name":"Yen-Chen Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yen-Chen Lin","raw_affiliation_strings":["National Central University,Department of Communication Engineering,Taoyuan,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Central University,Department of Communication Engineering,Taoyuan,Taiwan","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028437162","display_name":"Ya-Chi Hsu","orcid":null},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ya-Chi Hsu","raw_affiliation_strings":["National Central University,Department of Communication Engineering,Taoyuan,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Central University,Department of Communication Engineering,Taoyuan,Taiwan","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030850766","display_name":"Yu-Jui Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Jui Chen","raw_affiliation_strings":["National Central University,Department of Communication Engineering,Taoyuan,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Central University,Department of Communication Engineering,Taoyuan,Taiwan","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101733311","display_name":"Yuchun Chang","orcid":"https://orcid.org/0000-0001-9270-8839"},"institutions":[{"id":"https://openalex.org/I92172085","display_name":"Chunghwa Telecom (Taiwan)","ror":"https://ror.org/04f786589","country_code":"TW","type":"company","lineage":["https://openalex.org/I92172085"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Chun Chang","raw_affiliation_strings":["Chunghwa Telecom,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chunghwa Telecom,Taiwan","institution_ids":["https://openalex.org/I92172085"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102961214","display_name":"Jingyun Fang","orcid":"https://orcid.org/0000-0001-5997-0384"},"institutions":[{"id":"https://openalex.org/I92172085","display_name":"Chunghwa Telecom (Taiwan)","ror":"https://ror.org/04f786589","country_code":"TW","type":"company","lineage":["https://openalex.org/I92172085"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jing-Yun Fang","raw_affiliation_strings":["Chunghwa Telecom,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chunghwa Telecom,Taiwan","institution_ids":["https://openalex.org/I92172085"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100635925","display_name":"Chih\u2013Wei Huang","orcid":"https://orcid.org/0000-0002-0202-8977"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Wei Huang","raw_affiliation_strings":["National Central University,Department of Communication Engineering,Taoyuan,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Central University,Department of Communication Engineering,Taoyuan,Taiwan","institution_ids":["https://openalex.org/I22265921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101361764"],"corresponding_institution_ids":["https://openalex.org/I22265921"],"apc_list":null,"apc_paid":null,"fwci":0.2326,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50075545,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"15","issue":null,"first_page":"227","last_page":"232"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9254999756813049,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9254999756813049,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.748964786529541},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6140247583389282},{"id":"https://openalex.org/keywords/resource-management","display_name":"Resource management (computing)","score":0.5666759610176086},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4259689748287201},{"id":"https://openalex.org/keywords/radio-resource-management","display_name":"Radio resource management","score":0.41794806718826294},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.38439613580703735},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15628322958946228},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.06472915410995483}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.748964786529541},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6140247583389282},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.5666759610176086},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4259689748287201},{"id":"https://openalex.org/C182448111","wikidata":"https://www.wikidata.org/wiki/Q7281197","display_name":"Radio resource management","level":4,"score":0.41794806718826294},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.38439613580703735},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15628322958946228},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.06472915410995483},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccworkshops59551.2024.10615690","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iccworkshops59551.2024.10615690","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Communications Workshops (ICC Workshops)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.5099999904632568,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1516111018","https://openalex.org/W2101067739","https://openalex.org/W2889540440","https://openalex.org/W2972675927","https://openalex.org/W3010723141","https://openalex.org/W3020718655","https://openalex.org/W3032198287","https://openalex.org/W3033989372","https://openalex.org/W3034606981","https://openalex.org/W3127031155","https://openalex.org/W4213446031","https://openalex.org/W4224231325","https://openalex.org/W4312792337","https://openalex.org/W4319303248","https://openalex.org/W4387422716","https://openalex.org/W6736057607","https://openalex.org/W6790547748"],"related_works":["https://openalex.org/W2122167697","https://openalex.org/W2106704271","https://openalex.org/W2067828455","https://openalex.org/W1989981149","https://openalex.org/W2394292907","https://openalex.org/W167115183","https://openalex.org/W2172120247","https://openalex.org/W2740248264","https://openalex.org/W2159025823","https://openalex.org/W2150540431"],"abstract_inverted_index":{"The":[0,106],"rapid":[1],"evolution":[2],"of":[3,16,24,50,78],"new":[4],"service":[5],"models":[6],"and":[7,47,76,103,119,127],"interactive":[8],"applications":[9],"is":[10],"being":[11],"driven":[12],"by":[13,124],"the":[14,21,45,74,116],"development":[15],"B5G/6G":[17],"networks.":[18],"To":[19],"address":[20],"diverse":[22],"requirements":[23],"these":[25,37],"networks,":[26],"researchers":[27],"have":[28],"proposed":[29,112],"deep":[30,69],"reinforcement":[31,70],"learning":[32,71],"(DRL)":[33],"based":[34],"solutions.":[35],"However,":[36],"current":[38],"solutions":[39],"often":[40],"struggle":[41],"to":[42,72,100],"effectively":[43],"handle":[44],"dynamic":[46,89],"unpredictable":[48],"nature":[49],"traffic":[51,83],"flow":[52],"in":[53],"real-time":[54],"network":[55,101],"environments.":[56],"In":[57],"this":[58],"study,":[59],"we":[60],"propose":[61],"a":[62,87,92],"novel":[63],"approach":[64,96],"that":[65,110],"integrates":[66],"meta-learning":[67,113],"with":[68],"improve":[73],"effectiveness":[75],"adaptability":[77],"scheduling":[79],"algorithms":[80],"for":[81],"different":[82],"patterns.":[84],"By":[85],"introducing":[86],"latent":[88],"variable":[90],"as":[91],"state":[93],"variable,":[94],"our":[95,111],"enables":[97],"adaptive":[98],"responses":[99],"changes":[102],"user":[104],"requirements.":[105],"experimental":[107],"results":[108],"demonstrate":[109],"strategy":[114],"outperforms":[115],"second-best":[117],"algorithm":[118],"related":[120],"joint":[121],"allocation":[122],"schemes":[123],"24.5":[125],"%":[126,129],"12.8":[128],"on":[130],"unseen":[131],"scenarios,":[132],"respectively.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}
