{"id":"https://openalex.org/W7164826719","doi":"https://doi.org/10.1109/tccn.2026.3703008","title":"Self-Robust RF Fingerprint Identification With 6G Agentic AI: Cloud-Edge Intelligent Collaboration","display_name":"Self-Robust RF Fingerprint Identification With 6G Agentic AI: Cloud-Edge Intelligent Collaboration","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7164826719","doi":"https://doi.org/10.1109/tccn.2026.3703008"},"language":null,"primary_location":{"id":"doi:10.1109/tccn.2026.3703008","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2026.3703008","pdf_url":null,"source":{"id":"https://openalex.org/S2484188435","display_name":"IEEE Transactions on Cognitive Communications and Networking","issn_l":"2332-7731","issn":["2332-7731","2372-2045"],"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 Transactions on Cognitive Communications and Networking","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/A5100644814","display_name":"Ying Liu","orcid":"https://orcid.org/0000-0002-8951-2648"},"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":"Yi Liu","raw_affiliation_strings":["School of Cyber Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112503122","display_name":"Haolin Zheng","orcid":"https://orcid.org/0009-0000-2325-3631"},"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":"Haolin Zheng","raw_affiliation_strings":["School of Cyber Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0000-2325-3631","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103192427","display_name":"Ning Gao","orcid":"https://orcid.org/0000-0001-7067-1211"},"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":"Ning Gao","raw_affiliation_strings":["School of Cyber Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-7067-1211","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138665844","display_name":"Jian Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Gong","raw_affiliation_strings":["College of Air and Missile Defense, Air Force Engineering University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Air and Missile Defense, Air Force Engineering University, Xi’an, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031480448","display_name":"Yongyong Chen","orcid":"https://orcid.org/0000-0003-1970-1993"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongyong Chen","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-1970-1993","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035876091","display_name":"Michail Matthaiou","orcid":"https://orcid.org/0000-0001-9235-7741"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Michail Matthaiou","raw_affiliation_strings":["Centre for Wireless Innovation (CWI), Queen’s University Belfast, Belfast, U.K"],"raw_orcid":"https://orcid.org/0000-0001-9235-7741","affiliations":[{"raw_affiliation_string":"Centre for Wireless Innovation (CWI), Queen’s University Belfast, Belfast, U.K","institution_ids":["https://openalex.org/I126231945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100375264","display_name":"Xiao Li","orcid":"https://orcid.org/0000-0001-9660-9053"},"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":"Xiao Li","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-9660-9053","affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013079905","display_name":"Shi Jin","orcid":"https://orcid.org/0000-0003-0271-6021"},"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"],"raw_orcid":"https://orcid.org/0000-0003-0271-6021","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":4,"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":0.76529789,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"8718","last_page":"8732"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.6790000200271606,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.6790000200271606,"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/T10828","display_name":"Biometric Identification and Security","score":0.05660000070929527,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10986","display_name":"RFID technology advancements","score":0.018799999728798866,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/identification","display_name":"Identification (biology)","score":0.5669999718666077},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.48809999227523804},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.4138999879360199},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3691999912261963},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.29179999232292175},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.2757999897003174}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8029000163078308},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5669999718666077},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.48809999227523804},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4251999855041504},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.4138999879360199},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3691999912261963},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.29179999232292175},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2757999897003174},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2721000015735626},{"id":"https://openalex.org/C51675839","wikidata":"https://www.wikidata.org/wiki/Q1665681","display_name":"Intelligent Network","level":2,"score":0.2651999890804291},{"id":"https://openalex.org/C3020028006","wikidata":"https://www.wikidata.org/wiki/Q9158","display_name":"Electronic mail","level":2,"score":0.25929999351501465},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2549999952316284},{"id":"https://openalex.org/C204222849","wikidata":"https://www.wikidata.org/wiki/Q104954","display_name":"Radio-frequency identification","level":2,"score":0.25}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tccn.2026.3703008","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2026.3703008","pdf_url":null,"source":{"id":"https://openalex.org/S2484188435","display_name":"IEEE Transactions on Cognitive Communications and Networking","issn_l":"2332-7731","issn":["2332-7731","2372-2045"],"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 Transactions on Cognitive Communications and Networking","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6514431851","display_name":null,"funder_award_id":"62371131","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,117,165,214],"rapid":[1],"proliferation":[2],"of":[3,119,149,178,230],"heterogeneous":[4],"wireless":[5,38,75],"devices":[6],"in":[7,133,228],"sixth-generation":[8],"(6G)":[9],"networks":[10,216],"raises":[11],"significant":[12,218],"security":[13],"challenges,":[14],"necessitating":[15],"continuous":[16,258],"and":[17,36,56,74,85,112,158,173,181,196,201,234,254],"zero-trust":[18],"authentication.":[19],"Radio":[20],"frequency":[21,188],"fingerprint":[22],"identification":[23],"(RFFI)":[24],"is":[25,106,123],"a":[26,47,54,61,81,86,130],"promising":[27],"solution,":[28],"however,":[29],"its":[30],"performance":[31,139,161,206,256],"deteriorates":[32],"markedly":[33],"under":[34,192,257],"dynamic":[35],"unpredictable":[37],"environments.":[39],"To":[40],"address":[41],"this":[42],"issue,":[43],"we":[44,100,153],"propose":[45],"DrffNet-X,":[46],"cross-modal":[48],"RFF":[49,97],"distillation":[50],"framework":[51,247],"to":[52,79,94,145],"train":[53,80],"lightweight":[55],"self-robust":[57],"RFFI":[58,226,246],"model":[59,259],"within":[60],"cloud-edge":[62],"collaborative":[63,245],"agentic":[64],"artificial":[65],"intelligence":[66],"(AI)":[67],"paradigm.":[68],"In":[69],"the":[70,92,103,109,113,120,126,137,141,147,150,156,160,163,170,221,242],"proposed":[71,121,151,243],"framework,":[72,152],"wired":[73],"signals":[76],"are":[77],"used":[78],"large":[82],"teacher":[83,142],"network":[84,128],"small":[87],"student":[88,93,127],"network,":[89],"respectively,":[90,191],"enabling":[91],"learn":[95],"channel-robust":[96],"representations.":[98],"Specifically,":[99],"first":[101],"develop":[102,155],"DrffNet-ResNet,":[104],"which":[105],"based":[107],"on":[108,183,207],"ResNet":[110],"backbone":[111],"spatial":[114],"attention":[115],"mechanism.":[116],"complexity":[118],"DrffNet-ResNet":[122,172],"analyzed,":[124],"where":[125],"achieves":[129],"27%":[131],"reduction":[132],"parameters,":[134],"but":[135],"has":[136],"similar":[138],"as":[140],"network.":[143],"Next,":[144],"prove":[146],"model-agnostic":[148],"also":[154,202],"DrffNet-MobileNet":[157,174],"evaluate":[159],"via":[162],"experiments.":[164],"experiment":[166],"results":[167],"demonstrate":[168],"that":[169,241],"developed":[171,215],"achieve":[175,203],"an":[176,204],"accuracy":[177],"above":[179],"95%":[180],"93%":[182],"Long":[184],"Range":[185],"(LoRa)":[186],"radio":[187],"(RF)":[189],"datasets,":[190],"different":[193],"channel":[194],"effects":[195],"various":[197],"signal-to-noise":[198],"ratios":[199],"(SNRs),":[200],"outstanding":[205],"unmanned":[208],"aerial":[209],"vehicle":[210],"(UAV)":[211],"RF":[212],"datasets.":[213],"have":[217],"advantages":[219],"over":[220],"state-of-the-art":[222],"deep":[223],"learning":[224],"(DL)-based":[225],"methods":[227],"terms":[229],"accuracy,":[231],"computation":[232],"amount":[233],"universal":[235],"applicability.":[236],"Extensive":[237],"system-level":[238],"evaluations":[239],"verify":[240],"cloud\u2013edge":[244],"enables":[248],"efficient":[249],"deployment,":[250],"low-latency":[251],"edge":[252],"inference,":[253],"stable":[255],"updates.":[260]},"counts_by_year":[],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2026-06-16T00:00:00"}