{"id":"https://openalex.org/W7116862257","doi":"https://doi.org/10.1109/tcomm.2025.3647783","title":"Small-Scale-Fading-Aware Resource Allocation in Wireless Federated Learning","display_name":"Small-Scale-Fading-Aware Resource Allocation in Wireless Federated Learning","publication_year":2025,"publication_date":"2025-12-23","ids":{"openalex":"https://openalex.org/W7116862257","doi":"https://doi.org/10.1109/tcomm.2025.3647783"},"language":null,"primary_location":{"id":"doi:10.1109/tcomm.2025.3647783","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2025.3647783","pdf_url":null,"source":{"id":"https://openalex.org/S196647941","display_name":"IEEE Transactions on Communications","issn_l":"0090-6778","issn":["0090-6778","1558-0857"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Transactions on Communications","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":"https://openalex.org/A5121084730","display_name":"Jiacheng Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiacheng Wang","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076405069","display_name":"Le Liang","orcid":"https://orcid.org/0000-0001-7553-2608"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Liang","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121051443","display_name":"Hao Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Ye","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA","institution_ids":["https://openalex.org/I185103710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111077351","display_name":"Chongtao Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chongtao Guo","raw_affiliation_strings":["Guangdong Key Laboratory of Intelligent Information Processing, College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory of Intelligent Information Processing, College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5121083826","display_name":"Shi Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi Jin","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5121084730"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":2.7855,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.94255855,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"74","issue":null,"first_page":"2532","last_page":"2547"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.8256000280380249,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.8256000280380249,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11158","display_name":"Wireless Networks and Protocols","score":0.023900000378489494,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.02290000021457672,"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/resource-allocation","display_name":"Resource allocation","score":0.650600016117096},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5995000004768372},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5881999731063843},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.5842000246047974},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.48330000042915344},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4564000070095062},{"id":"https://openalex.org/keywords/resource-management","display_name":"Resource management (computing)","score":0.43880000710487366},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.43720000982284546},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4108000099658966}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8119000196456909},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.650600016117096},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5995000004768372},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5956000089645386},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5881999731063843},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.5842000246047974},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.48330000042915344},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4564000070095062},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.43880000710487366},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.43720000982284546},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4108000099658966},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.40130001306533813},{"id":"https://openalex.org/C2777679929","wikidata":"https://www.wikidata.org/wiki/Q7883709","display_name":"Underlay","level":3,"score":0.4009000062942505},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.39410001039505005},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3926999866962433},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.39079999923706055},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.38850000500679016},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.37529999017715454},{"id":"https://openalex.org/C17098449","wikidata":"https://www.wikidata.org/wiki/Q176814","display_name":"Partially observable Markov decision process","level":4,"score":0.3736000061035156},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.37209999561309814},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3513000011444092},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3314000070095062},{"id":"https://openalex.org/C47091857","wikidata":"https://www.wikidata.org/wiki/Q4118612","display_name":"Coherence time","level":3,"score":0.31470000743865967},{"id":"https://openalex.org/C137246740","wikidata":"https://www.wikidata.org/wiki/Q583970","display_name":"Spectral efficiency","level":3,"score":0.3041999936103821},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.27129998803138733},{"id":"https://openalex.org/C56685638","wikidata":"https://www.wikidata.org/wiki/Q2300474","display_name":"Power control","level":3,"score":0.2644999921321869},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.25110000371932983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcomm.2025.3647783","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2025.3647783","pdf_url":null,"source":{"id":"https://openalex.org/S196647941","display_name":"IEEE Transactions on Communications","issn_l":"0090-6778","issn":["0090-6778","1558-0857"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Transactions on Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2094655360","https://openalex.org/W2112796928","https://openalex.org/W2798720628","https://openalex.org/W2920095265","https://openalex.org/W2963000651","https://openalex.org/W2963658727","https://openalex.org/W2968764495","https://openalex.org/W2969195240","https://openalex.org/W2969525674","https://openalex.org/W2975156709","https://openalex.org/W3010214457","https://openalex.org/W3036160090","https://openalex.org/W3036822879","https://openalex.org/W3047304572","https://openalex.org/W3089655738","https://openalex.org/W3090615085","https://openalex.org/W3163739719","https://openalex.org/W3192649393","https://openalex.org/W3198422819","https://openalex.org/W4226167551","https://openalex.org/W4319663761","https://openalex.org/W4384028533","https://openalex.org/W4388948432","https://openalex.org/W4390603935","https://openalex.org/W4391326609"],"related_works":[],"abstract_inverted_index":{"Judicious":[0],"resource":[1,56,80,161],"allocation":[2,57,81,162],"can":[3],"effectively":[4],"enhance":[5],"federated":[6],"learning":[7,63],"(FL)":[8],"training":[9,48],"performance":[10],"in":[11,46,189],"wireless":[12],"networks":[13],"by":[14],"addressing":[15],"both":[16],"system":[17],"and":[18,77,113,125,143,150],"statistical":[19,172],"heterogeneity.":[20,173],"However,":[21],"existing":[22],"strategies":[23],"typically":[24],"rely":[25],"on":[26,122],"block":[27],"fading":[28,184],"assumptions,":[29],"which":[30,92],"overlook":[31],"rapid":[32],"channel":[33],"fluctuations":[34],"within":[35,116],"each":[36,103,117],"round":[37],"of":[38,73,139,152,171,181],"FL":[39,47,75,191],"gradient":[40],"uploading,":[41],"leading":[42],"to":[43],"a":[44,54,60,69,84,126],"degradation":[45],"performance.":[49,192],"Therefore,":[50],"this":[51],"paper":[52],"proposes":[53],"small-scale-fading-aware":[55],"strategy":[58,163],"using":[59,96],"multi-agent":[61],"reinforcement":[62],"(MARL)":[64],"framework.":[65],"Specifically,":[66],"we":[67],"establish":[68],"one-step":[70],"convergence":[71,131],"bound":[72],"the":[74,79,97,130,137,140,148,153,178],"algorithm":[76],"formulate":[78],"problem":[82],"as":[83,106],"decentralized":[85,145],"partially":[86],"observable":[87],"Markov":[88],"decision":[89],"process":[90],"(Dec-POMDP),":[91],"is":[93],"subsequently":[94],"solved":[95],"QMIX":[98],"algorithm.":[99],"In":[100],"our":[101,159],"framework,":[102],"client":[104],"serves":[105],"an":[107],"agent":[108],"that":[109,158],"dynamically":[110],"determines":[111],"spectrum":[112],"power":[114],"allocations":[115],"coherence":[118],"time":[119],"slot,":[120],"based":[121],"local":[123],"observations":[124],"reward":[127],"derived":[128],"from":[129],"analysis.":[132],"The":[133],"MARL":[134],"setting":[135],"reduces":[136],"dimensionality":[138],"action":[141],"space":[142],"facilitates":[144],"decision-making,":[146],"enhancing":[147],"scalability":[149],"practicality":[151],"solution.":[154],"Experimental":[155],"results":[156],"demonstrate":[157],"QMIX-based":[160],"significantly":[164],"outperforms":[165],"baseline":[166],"methods":[167],"across":[168],"various":[169],"degrees":[170],"Additionally,":[174],"ablation":[175],"studies":[176],"validate":[177],"critical":[179],"importance":[180],"incorporating":[182],"small-scale":[183],"dynamics,":[185],"highlighting":[186],"its":[187],"role":[188],"optimizing":[190]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-12-23T00:00:00"}