{"id":"https://openalex.org/W4406355234","doi":"https://doi.org/10.1109/wcsp62071.2024.10827746","title":"Lightweight RF Fingerprint Identification using Cross Modal Knowledge Distillation: Learning from Wired to Wireless","display_name":"Lightweight RF Fingerprint Identification using Cross Modal Knowledge Distillation: Learning from Wired to Wireless","publication_year":2024,"publication_date":"2024-10-24","ids":{"openalex":"https://openalex.org/W4406355234","doi":"https://doi.org/10.1109/wcsp62071.2024.10827746"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp62071.2024.10827746","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp62071.2024.10827746","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 16th International Conference on Wireless Communications and Signal Processing (WCSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101909318","display_name":"Yi Liu","orcid":"https://orcid.org/0000-0002-5879-7118"},"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,210096"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Southeast University,Nanjing,China,210096","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,210096"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Southeast University,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877"]}]},{"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/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"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),Shenzhen,China,518055"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen),Shenzhen,China,518055","institution_ids":["https://openalex.org/I158809036","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":["Queen&#x0027;s University Belfast,Centre for Wireless Innovation (CWI),Belfast,U.K.,BT3 9DT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Queen&#x0027;s University Belfast,Centre for Wireless Innovation (CWI),Belfast,U.K.,BT3 9DT","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":["Southeast University,National Mobile Communications Research Laboratory,Nanjing,China,210096"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University,National Mobile Communications Research Laboratory,Nanjing,China,210096","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":["Southeast University,National Mobile Communications Research Laboratory,Nanjing,China,210096"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University,National Mobile Communications Research Laboratory,Nanjing,China,210096","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":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"554","last_page":"559"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9922999739646912,"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":0.9922999739646912,"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":0.9815000295639038,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.68299800157547},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6070945858955383},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.5841465592384338},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5604203939437866},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5430933237075806},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5167900323867798},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3766538202762604},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.1930704116821289},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17765912413597107},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.08091199398040771},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.05899426341056824}],"concepts":[{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.68299800157547},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6070945858955383},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.5841465592384338},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5604203939437866},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5430933237075806},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5167900323867798},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3766538202762604},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.1930704116821289},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17765912413597107},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.08091199398040771},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.05899426341056824},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcsp62071.2024.10827746","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp62071.2024.10827746","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 16th International Conference on Wireless Communications and Signal Processing (WCSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2776818420","https://openalex.org/W2937290901","https://openalex.org/W2980965333","https://openalex.org/W3047279638","https://openalex.org/W3091365446","https://openalex.org/W3106557886","https://openalex.org/W3172135703","https://openalex.org/W3172553205","https://openalex.org/W3206629225","https://openalex.org/W4244954892","https://openalex.org/W4380303589","https://openalex.org/W4384284210","https://openalex.org/W4386736487","https://openalex.org/W4390787945","https://openalex.org/W4394693838"],"related_works":["https://openalex.org/W3026162553","https://openalex.org/W2339806289","https://openalex.org/W2368132270","https://openalex.org/W2173185020","https://openalex.org/W4205397417","https://openalex.org/W2157505264","https://openalex.org/W109501413","https://openalex.org/W2898732673","https://openalex.org/W2344382886","https://openalex.org/W2075134888"],"abstract_inverted_index":{"Radio":[0],"frequency":[1],"fingerprint":[2],"identification":[3,25,158],"(RFFI)":[4],"is":[5,94],"considered":[6],"as":[7,63],"a":[8,32,107,111,119],"feasible":[9],"zero-trust":[10],"IoT":[11],"identification,":[12],"however,":[13],"the":[14,43,66,75,79,83,86,97,124,134,139,142,146,171,175],"presence":[15],"of":[16,82,106,114,133,141,160],"channel":[17,44,98,165],"effects":[18],"in":[19,47],"wireless":[20,54],"propagation":[21],"significantly":[22],"impacts":[23],"its":[24],"performance.":[26],"In":[27],"this":[28],"paper,":[29],"we":[30,168],"propose":[31],"cross":[33],"modal":[34],"knowledge":[35,77],"distillation":[36],"based":[37],"RFFI":[38,92,105],"network":[39,68,88,102,144,155,173,179],"(DrffNet)":[40],"to":[41,65,96],"mitigate":[42],"effects.":[45,99],"Specifically,":[46],"our":[48,153],"proposed":[49,143,154,172],"DrffNet":[50],"network,":[51,71,85],"wired":[52],"and":[53,69,137],"long":[55],"range":[56],"(LoRa)":[57],"RF":[58],"signals":[59],"are":[60],"jointly":[61],"used":[62,103],"inputs":[64],"teacher":[67,84,125],"student":[70,87,101],"respectively.":[72],"By":[73],"transferring":[74],"RFF":[76],"from":[78],"hidden":[80],"layers":[81],"can":[89],"achieve":[90],"effective":[91],"that":[93,152,170],"resilient":[95],"The":[100,149],"for":[104],"similar":[108],"performance":[109],"has":[110],"parameter":[112],"size":[113],"only":[115],"10.68":[116],"MB,":[117],"achieving":[118],"27%":[120],"reduction":[121],"compared":[122],"with":[123,130],"network.":[126],"We":[127],"conduct":[128],"experiments":[129],"real-world":[131],"datasets":[132],"LoRa":[135],"devices":[136],"analyze":[138],"feasibility":[140],"via":[145],"ablation":[147],"experiments.":[148],"results":[150],"demonstrate":[151],"achieves":[156],"an":[157],"accuracy":[159],"above":[161],"95%":[162],"under":[163],"various":[164],"environments.":[166],"Additionally,":[167],"show":[169],"outperforms":[174],"benchmark":[176],"convolutional":[177],"neural":[178],"(CNN)":[180],"networks":[181],"on":[182],"RFFI.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
