{"id":"https://openalex.org/W7133363513","doi":"https://doi.org/10.1109/tgcn.2026.3669577","title":"Green Physical Layer Authentication Based on Few-Shot RFF via Asymmetric Augmentation and Frequency-Assisted Learning","display_name":"Green Physical Layer Authentication Based on Few-Shot RFF via Asymmetric Augmentation and Frequency-Assisted Learning","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7133363513","doi":"https://doi.org/10.1109/tgcn.2026.3669577"},"language":null,"primary_location":{"id":"doi:10.1109/tgcn.2026.3669577","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgcn.2026.3669577","pdf_url":null,"source":{"id":"https://openalex.org/S4210192662","display_name":"IEEE Transactions on Green Communications and Networking","issn_l":"2473-2400","issn":["2473-2400"],"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 Green 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/A5110822535","display_name":"Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210147322","display_name":"Shanghai Institute of Microsystem and Information Technology","ror":"https://ror.org/04nytyj38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210147322"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ziyi Song","raw_affiliation_strings":["Science and Technology on Microsystem Laboratory, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0009-0834-1452","affiliations":[{"raw_affiliation_string":"Science and Technology on Microsystem Laboratory, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China","institution_ids":["https://openalex.org/I4210147322"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081291321","display_name":"Hongying Tang","orcid":"https://orcid.org/0000-0002-2606-9570"},"institutions":[{"id":"https://openalex.org/I4210147322","display_name":"Shanghai Institute of Microsystem and Information Technology","ror":"https://ror.org/04nytyj38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210147322"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongying Tang","raw_affiliation_strings":["Science and Technology on Microsystem Laboratory, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-2606-9570","affiliations":[{"raw_affiliation_string":"Science and Technology on Microsystem Laboratory, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China","institution_ids":["https://openalex.org/I4210147322"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036361091","display_name":"Qilu Zhang","orcid":"https://orcid.org/0009-0001-3768-3840"},"institutions":[{"id":"https://openalex.org/I4210147322","display_name":"Shanghai Institute of Microsystem and Information Technology","ror":"https://ror.org/04nytyj38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210147322"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qilu Zhang","raw_affiliation_strings":["Science and Technology on Microsystem Laboratory, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0001-3768-3840","affiliations":[{"raw_affiliation_string":"Science and Technology on Microsystem Laboratory, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China","institution_ids":["https://openalex.org/I4210147322"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100744137","display_name":"Yi Liu","orcid":"https://orcid.org/0000-0002-1058-0382"},"institutions":[{"id":"https://openalex.org/I4210147322","display_name":"Shanghai Institute of Microsystem and Information Technology","ror":"https://ror.org/04nytyj38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210147322"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanqing Liu","raw_affiliation_strings":["Science and Technology on Microsystem Laboratory, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Microsystem Laboratory, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China","institution_ids":["https://openalex.org/I4210147322"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5127992038","display_name":"Baoqing Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210147322","display_name":"Shanghai Institute of Microsystem and Information Technology","ror":"https://ror.org/04nytyj38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210147322"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoqing Li","raw_affiliation_strings":["Science and Technology on Microsystem Laboratory, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-7243-9229","affiliations":[{"raw_affiliation_string":"Science and Technology on Microsystem Laboratory, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China","institution_ids":["https://openalex.org/I4210147322"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5110822535"],"corresponding_institution_ids":["https://openalex.org/I4210147322"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.43794303,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":null,"first_page":"2293","last_page":"2308"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.8944000005722046,"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":0.8944000005722046,"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/T10986","display_name":"RFID technology advancements","score":0.027300000190734863,"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"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.007000000216066837,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/discriminative-model","display_name":"Discriminative model","score":0.7019000053405762},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5562000274658203},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.534500002861023},{"id":"https://openalex.org/keywords/physical-layer","display_name":"Physical layer","score":0.5145999789237976},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.48590001463890076},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.44909998774528503},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4440000057220459},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.41830000281333923},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.38690000772476196},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.34450000524520874}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7019000053405762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6811000108718872},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5562000274658203},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.534500002861023},{"id":"https://openalex.org/C19247436","wikidata":"https://www.wikidata.org/wiki/Q192727","display_name":"Physical layer","level":3,"score":0.5145999789237976},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4966999888420105},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.48590001463890076},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.44909998774528503},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4440000057220459},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4410000145435333},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.41830000281333923},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.38690000772476196},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.34450000524520874},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3199000060558319},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31790000200271606},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.311599999666214},{"id":"https://openalex.org/C141492731","wikidata":"https://www.wikidata.org/wiki/Q1052621","display_name":"Message authentication code","level":3,"score":0.3068000078201294},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3066999912261963},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.3059000074863434},{"id":"https://openalex.org/C2385561","wikidata":"https://www.wikidata.org/wiki/Q45432","display_name":"RSS","level":2,"score":0.30480000376701355},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3012000024318695},{"id":"https://openalex.org/C204222849","wikidata":"https://www.wikidata.org/wiki/Q104954","display_name":"Radio-frequency identification","level":2,"score":0.3001999855041504},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.29760000109672546},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.29249998927116394},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.2865999937057495},{"id":"https://openalex.org/C74064498","wikidata":"https://www.wikidata.org/wiki/Q3396184","display_name":"Radio frequency","level":2,"score":0.28439998626708984},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.27709999680519104},{"id":"https://openalex.org/C2777958785","wikidata":"https://www.wikidata.org/wiki/Q17120940","display_name":"Resource efficiency","level":2,"score":0.27399998903274536},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.27090001106262207},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.262800008058548},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2605000138282776},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.25760000944137573}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgcn.2026.3669577","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgcn.2026.3669577","pdf_url":null,"source":{"id":"https://openalex.org/S4210192662","display_name":"IEEE Transactions on Green Communications and Networking","issn_l":"2473-2400","issn":["2473-2400"],"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 Green Communications and Networking","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":48,"referenced_works":["https://openalex.org/W2136331353","https://openalex.org/W2136655611","https://openalex.org/W2145732734","https://openalex.org/W2153675116","https://openalex.org/W2194775991","https://openalex.org/W2618530766","https://openalex.org/W2883780447","https://openalex.org/W2963163009","https://openalex.org/W2982145123","https://openalex.org/W3034942609","https://openalex.org/W3108962068","https://openalex.org/W3134215411","https://openalex.org/W3170485195","https://openalex.org/W3171007011","https://openalex.org/W3172553205","https://openalex.org/W3195437048","https://openalex.org/W3205971195","https://openalex.org/W4214713481","https://openalex.org/W4285141850","https://openalex.org/W4289821916","https://openalex.org/W4293143713","https://openalex.org/W4308280428","https://openalex.org/W4312602904","https://openalex.org/W4317418671","https://openalex.org/W4319986822","https://openalex.org/W4321488246","https://openalex.org/W4364302665","https://openalex.org/W4365420380","https://openalex.org/W4385153825","https://openalex.org/W4386495285","https://openalex.org/W4386634635","https://openalex.org/W4387385586","https://openalex.org/W4387623697","https://openalex.org/W4389076418","https://openalex.org/W4390190190","https://openalex.org/W4391742263","https://openalex.org/W4393372405","https://openalex.org/W4401070416","https://openalex.org/W4401358008","https://openalex.org/W4401906681","https://openalex.org/W4402125689","https://openalex.org/W4402917136","https://openalex.org/W4403636017","https://openalex.org/W4406322503","https://openalex.org/W4406948532","https://openalex.org/W4408324875","https://openalex.org/W4409641069","https://openalex.org/W4413754844"],"related_works":[],"abstract_inverted_index":{"Radio":[0],"Frequency":[1],"Fingerprint":[2],"(RFF)":[3],"identification":[4],"has":[5],"emerged":[6],"as":[7],"a":[8,46,57,77,82],"promising":[9],"technique":[10],"for":[11,50],"enhancing":[12],"security":[13],"in":[14,30,114],"green":[15],"communication.":[16],"However,":[17],"it":[18],"typically":[19],"relies":[20],"on":[21,100],"large":[22],"labeled":[23],"datasets,":[24],"which":[25,85],"presents":[26],"an":[27],"impractical":[28],"requirement":[29],"resource":[31],"constrained":[32],"scenarios.":[33],"To":[34],"address":[35],"this":[36],"challenge,":[37],"we":[38,75],"propose":[39],"Asymmetric":[40],"Augmentation":[41],"with":[42,118],"Frequency-Assisted":[43],"Learning":[44],"(AA-FAL),":[45],"novel":[47],"self-supervised":[48],"framework":[49],"few-shot":[51,112],"RFF":[52],"identification.":[53],"Our":[54,126],"approach":[55],"integrates":[56],"family":[58],"of":[59,120],"asymmetric":[60],"time-frequency":[61],"augmentation":[62],"operators,":[63],"informed":[64],"by":[65,81],"hardware-specific":[66],"impairments,":[67],"to":[68,92],"generate":[69],"realistic,":[70],"identity-preserving":[71],"signal":[72],"variations.":[73],"Additionally,":[74],"employ":[76],"dual-stream":[78],"architecture":[79],"governed":[80],"neighborhood-consistency":[83],"objective,":[84],"aligns":[86],"time":[87],"and":[88,95,104,123],"frequency":[89],"domain":[90],"representations":[91],"extract":[93],"complementary":[94],"discriminative":[96],"features.":[97],"Experimental":[98],"evaluations":[99],"real-world":[101],"Wi-Fi,":[102],"LTE":[103],"ADS-B":[105],"datasets":[106],"demonstrate":[107],"that":[108],"AA-FAL":[109],"achieves":[110],"state-of-the-art":[111],"performance":[113],"the":[115],"10-shot":[116],"setting,":[117],"accuracies":[119],"98.13%,":[121],"92.25%":[122],"74.73%,":[124],"respectively.":[125],"code":[127],"is":[128],"available":[129],"at":[130],"https://github.com/SONGzyyyyyy/AA-FAL.":[131]},"counts_by_year":[],"updated_date":"2026-03-12T06:13:28.667946","created_date":"2026-03-04T00:00:00"}
