{"id":"https://openalex.org/W4414648188","doi":"https://doi.org/10.1109/vtc2025-spring65109.2025.11174704","title":"Knowledge Distillation for Modulation Classification in Resource-Constrained Devices","display_name":"Knowledge Distillation for Modulation Classification in Resource-Constrained Devices","publication_year":2025,"publication_date":"2025-06-17","ids":{"openalex":"https://openalex.org/W4414648188","doi":"https://doi.org/10.1109/vtc2025-spring65109.2025.11174704"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2025-spring65109.2025.11174704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2025-spring65109.2025.11174704","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 101st Vehicular Technology Conference (VTC2025-Spring)","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/A5059091167","display_name":"Pedro M. R. Pereira","orcid":"https://orcid.org/0000-0001-6946-2746"},"institutions":[{"id":"https://openalex.org/I71346753","display_name":"National Institute of Telecommunications","ror":"https://ror.org/0378w3a30","country_code":"BR","type":"facility","lineage":["https://openalex.org/I71346753"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Pedro M. R. Pereira","raw_affiliation_strings":["National Institute of Telecommunications, Inatel,Santa Rita do Sapuca&#x00ED;,MG,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Telecommunications, Inatel,Santa Rita do Sapuca&#x00ED;,MG,Brazil","institution_ids":["https://openalex.org/I71346753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017715993","display_name":"Felipe A. P. de Figueiredo","orcid":"https://orcid.org/0000-0002-2167-7286"},"institutions":[{"id":"https://openalex.org/I71346753","display_name":"National Institute of Telecommunications","ror":"https://ror.org/0378w3a30","country_code":"BR","type":"facility","lineage":["https://openalex.org/I71346753"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Felipe A. P. de Figueiredo","raw_affiliation_strings":["National Institute of Telecommunications, Inatel,Santa Rita do Sapuca&#x00ED;,MG,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Telecommunications, Inatel,Santa Rita do Sapuca&#x00ED;,MG,Brazil","institution_ids":["https://openalex.org/I71346753"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070641490","display_name":"Rausley A. A. de Souza","orcid":"https://orcid.org/0000-0002-6179-9894"},"institutions":[{"id":"https://openalex.org/I71346753","display_name":"National Institute of Telecommunications","ror":"https://ror.org/0378w3a30","country_code":"BR","type":"facility","lineage":["https://openalex.org/I71346753"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Rausley A. A. de Souza","raw_affiliation_strings":["National Institute of Telecommunications, Inatel,Santa Rita do Sapuca&#x00ED;,MG,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Telecommunications, Inatel,Santa Rita do Sapuca&#x00ED;,MG,Brazil","institution_ids":["https://openalex.org/I71346753"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I71346753"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9783999919891357,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9783999919891357,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9605000019073486,"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/T10320","display_name":"Neural Networks and Applications","score":0.9406999945640564,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7020999789237976},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5730000138282776},{"id":"https://openalex.org/keywords/modulation","display_name":"Modulation (music)","score":0.5333999991416931},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.4311999976634979},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.37389999628067017},{"id":"https://openalex.org/keywords/situation-analysis","display_name":"Situation analysis","score":0.3237000107765198},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.32199999690055847},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.31769999861717224}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7020999789237976},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6823999881744385},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5730000138282776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.571399986743927},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.5333999991416931},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5121999979019165},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.4311999976634979},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.37389999628067017},{"id":"https://openalex.org/C14911803","wikidata":"https://www.wikidata.org/wiki/Q7532148","display_name":"Situation analysis","level":2,"score":0.3237000107765198},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.32199999690055847},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.31769999861717224},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.31349998712539673},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.30869999527931213},{"id":"https://openalex.org/C145804949","wikidata":"https://www.wikidata.org/wiki/Q478123","display_name":"Situation awareness","level":2,"score":0.30630001425743103},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3027999997138977},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2847000062465668},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.27709999680519104},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.27459999918937683},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2639000117778778},{"id":"https://openalex.org/C9114305","wikidata":"https://www.wikidata.org/wiki/Q1428317","display_name":"Situational ethics","level":2,"score":0.2637999951839447},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.2551000118255615}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2025-spring65109.2025.11174704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2025-spring65109.2025.11174704","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 101st Vehicular Technology Conference (VTC2025-Spring)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2294292751","https://openalex.org/W2906260611","https://openalex.org/W3095439107","https://openalex.org/W3112647738","https://openalex.org/W3213410040","https://openalex.org/W4206339405","https://openalex.org/W4210261114","https://openalex.org/W4324057834"],"related_works":[],"abstract_inverted_index":{"Automated":[0],"modulation":[1],"classification":[2,122],"(AMC)":[3],"is":[4,75],"crucial":[5],"in":[6,28,114],"electronic":[7],"warfare":[8],"because":[9],"it":[10],"enhances":[11],"situational":[12],"awareness":[13],"and":[14,59],"prompts":[15],"responses":[16],"to":[17,39,78,98,110],"hostile":[18],"transmissions.":[19],"This":[20],"research":[21],"addresses":[22],"the":[23,80,86],"challenges":[24],"of":[25],"deploying":[26],"AMC":[27,44,112],"limited":[29],"computational":[30,119],"environments":[31],"by":[32,117],"proposing":[33],"using":[34],"response-based":[35],"knowledge":[36],"distillation":[37],"(KD)":[38],"train":[40,79],"compact":[41],"yet":[42],"accurate":[43],"models.":[45],"The":[46,66],"methodology":[47],"involves":[48],"a":[49,53],"framework":[50],"that":[51,85,105],"integrates":[52],"signal-based":[54],"convolutional":[55,62],"neural":[56,63],"network":[57,64],"(SBCNN)":[58],"an":[60],"image-based":[61],"(IBCNN).":[65],"SBCNN":[67],"extracts":[68],"features":[69],"from":[70],"preprocessed":[71],"signal":[72],"data,":[73],"which":[74],"subsequently":[76],"used":[77],"IBCNN.":[81],"Experimental":[82],"results":[83],"indicate":[84],"SBCNN-based":[87],"approach,":[88],"when":[89],"trained":[90],"with":[91,121],"teacher":[92],"distillation,":[93],"achieves":[94],"superior":[95],"performance":[96,113],"compared":[97],"its":[99],"standalone":[100],"counterpart.":[101],"Our":[102],"findings":[103],"show":[104],"KD":[106],"has":[107],"significant":[108],"potential":[109],"enhance":[111],"real-time":[115],"applications":[116],"balancing":[118],"demands":[120],"accuracy.":[123]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
