{"id":"https://openalex.org/W7116831010","doi":"https://doi.org/10.1109/jiot.2025.3647452","title":"Success-Rate-Based Asynchronous Federated Reinforcement Learning for Dynamic Spectrum Access in Time-Varying Environments","display_name":"Success-Rate-Based Asynchronous Federated Reinforcement Learning for Dynamic Spectrum Access in Time-Varying Environments","publication_year":2025,"publication_date":"2025-12-23","ids":{"openalex":"https://openalex.org/W7116831010","doi":"https://doi.org/10.1109/jiot.2025.3647452"},"language":null,"primary_location":{"id":"doi:10.1109/jiot.2025.3647452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3647452","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-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":null,"display_name":"Haocheng He","orcid":"https://orcid.org/0009-0009-3960-5975"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210111959","display_name":"Shanghai Advanced Research Institute","ror":"https://ror.org/02br7py06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210111959"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haocheng He","raw_affiliation_strings":["Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0009-3960-5975","affiliations":[{"raw_affiliation_string":"Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China","institution_ids":["https://openalex.org/I4210111959","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121059868","display_name":"Xin Bian","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210111959","display_name":"Shanghai Advanced Research Institute","ror":"https://ror.org/02br7py06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210111959"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Bian","raw_affiliation_strings":["Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-2543-6129","affiliations":[{"raw_affiliation_string":"Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China","institution_ids":["https://openalex.org/I4210111959","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5121093008","display_name":"Mingqi Li","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210111959","display_name":"Shanghai Advanced Research Institute","ror":"https://ror.org/02br7py06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210111959"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingqi Li","raw_affiliation_strings":["Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-2412-9477","affiliations":[{"raw_affiliation_string":"Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China","institution_ids":["https://openalex.org/I4210111959","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.58995169,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"5","first_page":"9719","last_page":"9730"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.9815999865531921,"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/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.9815999865531921,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.0017999999690800905,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.0015999999595806003,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.7799000144004822},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.77920001745224},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5055999755859375},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.39989998936653137},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.3635999858379364},{"id":"https://openalex.org/keywords/spectrum","display_name":"Spectrum (functional analysis)","score":0.35260000824928284},{"id":"https://openalex.org/keywords/distributed-learning","display_name":"Distributed learning","score":0.3125999867916107}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8707000017166138},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7799000144004822},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.77920001745224},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5924999713897705},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5055999755859375},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.39989998936653137},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.3635999858379364},{"id":"https://openalex.org/C156778621","wikidata":"https://www.wikidata.org/wiki/Q1365748","display_name":"Spectrum (functional analysis)","level":2,"score":0.35260000824928284},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.3125999867916107},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3000999987125397},{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.299699991941452},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2913999855518341},{"id":"https://openalex.org/C3739613","wikidata":"https://www.wikidata.org/wiki/Q679003","display_name":"Distributed Computing Environment","level":2,"score":0.28949999809265137},{"id":"https://openalex.org/C19012869","wikidata":"https://www.wikidata.org/wiki/Q578372","display_name":"Response time","level":2,"score":0.28049999475479126},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2768999934196472},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2736999988555908},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.2694999873638153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25099998712539673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2025.3647452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3647452","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1200013813","display_name":null,"funder_award_id":"24DP1501205","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"}],"funders":[{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Dynamic":[0],"spectrum":[1,9,18,29,51],"access":[2],"(DSA),":[3],"which":[4,45],"enables":[5],"opportunistic":[6],"utilization":[7],"of":[8],"holes,":[10],"is":[11,85],"considered":[12,82],"a":[13,32,64,77,95,121,125],"promising":[14],"approach":[15],"to":[16,111,130],"mitigating":[17],"scarcity.":[19],"However,":[20],"most":[21],"existing":[22],"studies":[23,79],"on":[24,67],"DSA":[25],"assume":[26],"that":[27,35,80,103,139],"the":[28,46,50,57,68,72,140,156],"environment":[30],"follows":[31],"fixed":[33],"pattern":[34],"remains":[36],"unchanged":[37],"during":[38],"interactions.":[39],"In":[40,90],"fact,":[41],"time-varying":[42,83],"environments":[43,84],"in":[44,56,76,117,149],"patterns":[47],"followed":[48],"by":[49],"may":[52],"change":[53],"are":[54,128],"inevitable":[55],"real":[58],"world.":[59],"Such":[60],"variability":[61],"can":[62,104,159],"have":[63,81],"significant":[65],"impact":[66],"model":[69,113],"performance.":[70],"Furthermore,":[71],"retraining":[73],"method":[74],"used":[75],"few":[78],"inefficient":[86],"and":[87,124,155,164],"lacks":[88],"adaptability.":[89],"this":[91],"paper,":[92],"we":[93],"propose":[94],"success-rate-based":[96],"asynchronous":[97],"federated":[98],"reinforcement":[99],"learning":[100],"algorithm":[101],"(SR-AFRL)":[102],"more":[105],"efficiently":[106],"utilize":[107],"distributed":[108],"local":[109],"data":[110],"ensure":[112],"performance":[114],"after":[115],"convergence":[116],"new":[118,150],"environments.":[119,151],"Moreover,":[120],"detection":[122,153],"mechanism":[123,154],"response":[126,157],"strategy":[127,158],"proposed":[129,141],"address":[131],"unpredictable":[132],"environmental":[133,162],"changes.":[134],"Performance":[135],"evaluation":[136],"results":[137],"show":[138],"SR-AFRL":[142],"performs":[143],"better":[144],"than":[145],"other":[146],"comparison":[147],"algorithms":[148],"The":[152],"effectively":[160],"detect":[161],"changes":[163],"respond":[165],"appropriately.":[166]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-12-23T00:00:00"}
