{"id":"https://openalex.org/W4391377861","doi":"https://doi.org/10.1109/tccn.2024.3360508","title":"Data-and-Channel-Independent Radio Frequency Fingerprint Extraction for LTE-V2X","display_name":"Data-and-Channel-Independent Radio Frequency Fingerprint Extraction for LTE-V2X","publication_year":2024,"publication_date":"2024-01-31","ids":{"openalex":"https://openalex.org/W4391377861","doi":"https://doi.org/10.1109/tccn.2024.3360508"},"language":"en","primary_location":{"id":"doi:10.1109/tccn.2024.3360508","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2024.3360508","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/A5022328727","display_name":"Xinyu Qi","orcid":"https://orcid.org/0000-0002-5304-2170"},"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":"Xinyu Qi","raw_affiliation_strings":["School of Cyber Science and Engineering, Southeast University, Nanjing, China"],"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/A5075678549","display_name":"Aiqun Hu","orcid":"https://orcid.org/0000-0002-0398-4899"},"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"]},{"id":"https://openalex.org/I4210155350","display_name":"Purple Mountain Laboratories","ror":"https://ror.org/04zcbk583","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210155350"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aiqun Hu","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","Purple Mountain Laboratories for Network and Communication Security, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Purple Mountain Laboratories for Network and Communication Security, Nanjing, China","institution_ids":["https://openalex.org/I4210155350"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101425902","display_name":"Zhen Zhang","orcid":"https://orcid.org/0000-0003-3381-4310"},"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":"Zhen Zhang","raw_affiliation_strings":["School of Cyber Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5022328727"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":4.5736,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.94902246,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"10","issue":"3","first_page":"905","last_page":"919"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13905","display_name":"Telecommunications and Broadcasting Technologies","score":0.9975000023841858,"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"}},"topics":[{"id":"https://openalex.org/T13905","display_name":"Telecommunications and Broadcasting Technologies","score":0.9975000023841858,"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/T10069","display_name":"Antenna Design and Analysis","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9765999913215637,"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/computer-science","display_name":"Computer science","score":0.7451912760734558},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.6194968819618225},{"id":"https://openalex.org/keywords/radio-frequency","display_name":"Radio frequency","score":0.5673238635063171},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5250810384750366},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4466556906700134},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.37735939025878906},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.34883010387420654},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20526179671287537}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7451912760734558},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.6194968819618225},{"id":"https://openalex.org/C74064498","wikidata":"https://www.wikidata.org/wiki/Q3396184","display_name":"Radio frequency","level":2,"score":0.5673238635063171},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5250810384750366},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4466556906700134},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.37735939025878906},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.34883010387420654},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20526179671287537},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tccn.2024.3360508","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2024.3360508","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":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W2062092992","https://openalex.org/W2109631601","https://openalex.org/W2126341321","https://openalex.org/W2138152282","https://openalex.org/W2154170045","https://openalex.org/W2300877280","https://openalex.org/W2316899877","https://openalex.org/W2587173351","https://openalex.org/W2587454507","https://openalex.org/W2783323081","https://openalex.org/W2789243953","https://openalex.org/W2791256362","https://openalex.org/W2807841289","https://openalex.org/W2890964092","https://openalex.org/W2904388869","https://openalex.org/W2957915633","https://openalex.org/W2962848581","https://openalex.org/W2966736488","https://openalex.org/W2979779867","https://openalex.org/W2982438846","https://openalex.org/W2984025449","https://openalex.org/W3038509227","https://openalex.org/W3042807565","https://openalex.org/W3047279638","https://openalex.org/W3084430883","https://openalex.org/W3094502228","https://openalex.org/W3095910127","https://openalex.org/W3097202331","https://openalex.org/W3103787556","https://openalex.org/W3111356309","https://openalex.org/W3172135703","https://openalex.org/W3172553205","https://openalex.org/W3176020692","https://openalex.org/W3181667991","https://openalex.org/W3194740358","https://openalex.org/W3194865194","https://openalex.org/W3204632360","https://openalex.org/W3210259347","https://openalex.org/W4205234379","https://openalex.org/W4210482569","https://openalex.org/W4214713481","https://openalex.org/W4224315877","https://openalex.org/W4226154561","https://openalex.org/W4285308735","https://openalex.org/W4293195770","https://openalex.org/W4293846201","https://openalex.org/W4311411594","https://openalex.org/W4312681730","https://openalex.org/W4312825868","https://openalex.org/W4313477264","https://openalex.org/W4321608821","https://openalex.org/W4366386370","https://openalex.org/W4388240238","https://openalex.org/W4391406929","https://openalex.org/W6739868092","https://openalex.org/W6756787618","https://openalex.org/W6786948829","https://openalex.org/W6796417832","https://openalex.org/W6811219001"],"related_works":["https://openalex.org/W2339806289","https://openalex.org/W3008853525","https://openalex.org/W2368132270","https://openalex.org/W2173185020","https://openalex.org/W2986003362","https://openalex.org/W109501413","https://openalex.org/W2075134888","https://openalex.org/W4388857868","https://openalex.org/W2946784807","https://openalex.org/W2966476839"],"abstract_inverted_index":{"Radio":[0],"frequency":[1],"fingerprint":[2],"(RFF),":[3],"derived":[4],"from":[5,72,178],"transmitter":[6],"hardware":[7],"impairments,":[8],"has":[9,183],"become":[10],"one":[11],"of":[12,40,48,111,124,168,174],"the":[13,29,37,46,69,73,92,95,102,108,112,121,125,131,161,175,179],"most":[14],"secure":[15],"solutions":[16],"for":[17,170],"physical":[18],"layer":[19],"authentication":[20],"due":[21],"to":[22,101,187],"its":[23],"copy-proof":[24],"and":[25,54,78,118,133,140,156,182,190],"forgery-proof.":[26],"Focusing":[27],"on":[28,45],"challenging":[30],"vehicle-to-everything":[31],"(V2X)":[32],"scenarios,":[33,120],"this":[34],"paper":[35],"conducts":[36],"first":[38],"exploration":[39],"out-of-band":[41],"RFF":[42,49,59,71,96,110],"extraction":[43,60],"based":[44],"analysis":[47],"distribution":[50],"in":[51,115],"broadband":[52],"systems,":[53],"proposes":[55],"a":[56],"data-and":[57],"channel-independent":[58],"method.":[61],"Specifically,":[62],"inspired":[63],"by":[64,81,137],"voiceprint":[65],"extraction,":[66],"we":[67],"decouple":[68],"pure":[70],"wireless":[74,119,154],"signals":[75],"containing":[76],"data":[77],"channel":[79,122],"response":[80],"task-oriented":[82],"filtering":[83],"as":[84,86],"well":[85],"homomorphic":[87],"processing.":[88],"The":[89],"method":[90],"exploits":[91],"fact":[93],"that":[94,160],"is":[97,128],"longtime":[98],"invariant":[99],"compared":[100],"rapidly":[103],"changing":[104],"channel.":[105],"By":[106],"comparing":[107],"extracted":[109],"same":[113,176,180],"device":[114],"both":[116],"wired":[117],"independence":[123],"proposed":[126,162],"scheme":[127,163],"demonstrated.":[129],"Further,":[130],"feasibility":[132],"interpretability":[134],"are":[135],"given":[136],"Wasserstein":[138],"distances":[139],"feature":[141],"contribution":[142],"quantification":[143],"using":[144],"SHapley":[145],"additive":[146],"exPlanation":[147],"(SHAP),":[148],"respectively.":[149],"Extensive":[150],"experiments":[151],"involving":[152],"different":[153],"environments":[155],"moving":[157],"speeds,":[158],"showing":[159],"could":[164],"achieve":[165],"test":[166],"accuracy":[167],"97.30%":[169],"thirteen":[171],"V2X":[172],"devices":[173,189],"model":[177],"manufacturer,":[181],"good":[184],"generalization":[185],"ability":[186],"out-of-library":[188],"other":[191],"deep":[192],"learning":[193],"models.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
