{"id":"https://openalex.org/W4392248527","doi":"https://doi.org/10.1109/icce59016.2024.10444146","title":"Deep Q-learning based Reinforcement Learning Approach for Radio Frequency Fingerprinting in Internet of Things","display_name":"Deep Q-learning based Reinforcement Learning Approach for Radio Frequency Fingerprinting in Internet of Things","publication_year":2024,"publication_date":"2024-01-06","ids":{"openalex":"https://openalex.org/W4392248527","doi":"https://doi.org/10.1109/icce59016.2024.10444146"},"language":"en","primary_location":{"id":"doi:10.1109/icce59016.2024.10444146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce59016.2024.10444146","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-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/A5088224106","display_name":"Jiao Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiao Ye","raw_affiliation_strings":["Xi’an Jiaotong University,Information and Communications Engineering,China"],"affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong University,Information and Communications Engineering,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100734239","display_name":"Dongyang Xu","orcid":"https://orcid.org/0000-0002-6401-0545"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]},{"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":"Dongyang Xu","raw_affiliation_strings":["Xi’an Jiaotong University,Information and Communications Engineering,China","National Mobile Communications Research Laboratory, Southeast University, China"],"affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong University,Information and Communications Engineering,China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090370844","display_name":"Tiantian Zhang","orcid":"https://orcid.org/0000-0002-1817-7950"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiantian Zhang","raw_affiliation_strings":["Xi’an Jiaotong University,Information and Communications Engineering,China"],"affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong University,Information and Communications Engineering,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076994242","display_name":"Keping Yu","orcid":"https://orcid.org/0000-0001-5735-2507"},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keping Yu","raw_affiliation_strings":["Hosei University,Graduate school of Science and Engineering,Japan","Graduate school of Science and Engineering, Hosei University, Japan"],"affiliations":[{"raw_affiliation_string":"Hosei University,Graduate school of Science and Engineering,Japan","institution_ids":["https://openalex.org/I204291657"]},{"raw_affiliation_string":"Graduate school of Science and Engineering, Hosei University, Japan","institution_ids":["https://openalex.org/I204291657"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5088224106"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.7232,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.73089618,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9998999834060669,"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":0.9998999834060669,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9918000102043152,"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/T10860","display_name":"Speech and Audio Processing","score":0.9918000102043152,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.7594619989395142},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.709020733833313},{"id":"https://openalex.org/keywords/q-learning","display_name":"Q-learning","score":0.5580480694770813},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.5345814228057861},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4506126940250397},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.22584986686706543}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7594619989395142},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.709020733833313},{"id":"https://openalex.org/C188116033","wikidata":"https://www.wikidata.org/wiki/Q2664563","display_name":"Q-learning","level":3,"score":0.5580480694770813},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.5345814228057861},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4506126940250397},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.22584986686706543}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce59016.2024.10444146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce59016.2024.10444146","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324856","display_name":"Southeast University","ror":"https://ror.org/04ct4d772"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1827896688","https://openalex.org/W2012166391","https://openalex.org/W2108286220","https://openalex.org/W2112338171","https://openalex.org/W2736601468","https://openalex.org/W2964043796","https://openalex.org/W3004340854","https://openalex.org/W3135222891","https://openalex.org/W3172135703","https://openalex.org/W3186369001","https://openalex.org/W3196757423","https://openalex.org/W4213371411","https://openalex.org/W4221164079","https://openalex.org/W4248951111","https://openalex.org/W4285171423","https://openalex.org/W4292636542","https://openalex.org/W4298857966","https://openalex.org/W6637967152","https://openalex.org/W6681768502","https://openalex.org/W6884758910"],"related_works":["https://openalex.org/W2742483371","https://openalex.org/W3096874164","https://openalex.org/W2166117066","https://openalex.org/W3087814763","https://openalex.org/W2357975469","https://openalex.org/W2136202932","https://openalex.org/W4376605461","https://openalex.org/W4400868993","https://openalex.org/W2361647908","https://openalex.org/W2952356279"],"abstract_inverted_index":{"Intelligent":[0],"radio":[1],"frequency":[2],"(RF)":[3],"fingerprinting":[4],"technology":[5],"can":[6,83,154,162],"be":[7,84,155,163],"used":[8],"for":[9,102],"lightweight":[10],"device":[11,28,143],"identification":[12],"by":[13,106,128],"exploiting":[14],"unique":[15],"RF":[16,77,103,175],"characteristics":[17,78],"of":[18,63,76,160,171],"wireless":[19,81,119],"devices":[20,82],"through":[21],"artificial":[22],"intelligence":[23],"(AI).":[24],"However,":[25],"in":[26,92],"low-power":[27],"communication":[29],"such":[30],"as":[31],"bluetooth":[32],"and":[33,43,74,157],"lora,":[34],"it":[35,55],"is":[36,56,139],"indeed":[37],"challenging":[38],"to":[39,49,58,66,141,146],"improve":[40],"recognition":[41,169,177],"accuracy":[42],"train":[44,67],"desired":[45],"AI":[46],"models":[47],"due":[48],"limited":[50],"sample":[51],"data":[52,65,127],"sets.":[53],"Besides,":[54],"required":[57],"provide":[59],"a":[60,96,134],"large":[61],"number":[62],"different":[64,80],"the":[68,72,108,113,147,151,158,168],"model":[69],"so":[70],"that":[71],"uniqueness":[73],"variability":[75],"between":[79],"maintained":[85],"well.":[86],"To":[87],"tackle":[88],"these":[89],"challenges,":[90],"we":[91],"this":[93],"paper":[94],"propose":[95],"deep":[97],"Q-learning-based":[98],"Reinforcement":[99],"Learning":[100],"Approach":[101],"fingerprint":[104,176],"enhancement":[105],"integrating":[107],"improved":[109],"reward-driven":[110],"strategies":[111],"with":[112],"efficient":[114],"I/Q":[115,126,130],"convolutional":[116],"network.":[117],"Particularly,":[118],"signal":[120],"features":[121],"are":[122],"extracted":[123],"from":[124],"raw":[125],"employing":[129],"convolution":[131],"model.":[132],"Then":[133],"Deep":[135],"Q":[136],"Network":[137],"(DQN)":[138],"proposed":[140],"realize":[142],"recognition.":[144],"Due":[145],"reinforcement":[148,173],"learning":[149],"approach,":[150],"network":[152,161],"architecture":[153],"simplified":[156],"convergence":[159],"accelerated.":[164],"Simulation":[165],"results":[166],"demonstrate":[167],"capabilities":[170],"our":[172],"learning-based":[174],"method.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}